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00M-670 IBM SVP Primary back Provider Mastery Test v1

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00M-670 exam Dumps Source : IBM SVP Primary back Provider Mastery Test v1

Test Code : 00M-670
Test name : IBM SVP Primary back Provider Mastery Test v1
Vendor name : IBM
exam questions : 25 true Questions

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IBM IBM SVP Primary Support

IBM’s ‘huge wager’ on Kubernetes is unifying cloud providers across systems | killexams.com true Questions and Pass4sure dumps

Navigating cloud computing services will too breathe problematic, especially when they Come from diverse suppliers. therefore, establishing a distinguished groundwork turns into much more crucial in retaining a hit operations across nowadays’s multicloud landscape. For IBM, that basis is Kubernetes, the open-supply device for managing containerized utility applications at scale.

“IBM has taken a mountainous ante on Kubernetes two and a half years ago,” spoke of Daniel Berg (pictured), uncommon engineer, IBM Cloud Kubernetes service, at IBM. “[We] not ever truly appeared again; it’s their basic foundation for their platform features.”

Berg spoke with Dave Vellante (@dvellante) and Stu Miniman (@stu), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the IBM suppose experience in San Francisco. They mentioned IBM’s Kubernetes functions and the company challenges of relocating operations between inner most and public clouds. (* Disclosure beneath.)

Bridging the multicloud gap

The IBM Cloud Kubernetes service presently has two distributions: IBM Cloud inner most, or ICP, which operates on-premises, and a managed service in the public cloud. So, what are the merits of completely retaining a personal cloud with Kubernetes? The container administration platform modernizes and organizes years-old content.

“We’ve modernized it, keep it in containers, set up it, and control it on Kubernetes. The first-class issue is that content which you can convey on-premises where it’s essential the most and precipitate it in ICP — and too capture that and precipitate it in their public cloud,” Berg explained.

Kubernetes is convenient to deploy, installation, and accept started. despite the fact, it is not devoid of its complications. With enhanced proliferation comes more desirable problem in managing the diverse clusters, Berg pointed out. “There are nevertheless some complexities, as a result of … you’ve obtained structure clusters; you’ve obtained test clusters,” he said.

To alleviate the challenge, IBM launched a fresh product referred to as Multicloud manager, which gives a manage airplane to manage components throughout many different clouds and disparate platforms. it really works with ICP and IBM Kubernetes service however is additionally suitable with Amazon, Google, Azure and OpenShift. Multicloud manager too helps with safety compliance and enforcement, so it gives safety anyplace it's lacking.

For businesses finding it under feasible to hold consistency and necessities while customizing for inescapable data wants, Berg stated the benefits of numerous distributions. “in order for you whatever thing that’s tremendously, enormously specific to a given employ case or you possess transformations to your infrastructure that you should possess extra flexibility, that’s the situation IBM Cloud inner most comes in,” he noted.

Two clouds are greater than one

relocating to public cloud in a unique fell swoop is a Herculean project, even for mountainous corporations such as Amazon and Google. this is where hybrid cloud is available in. In IBM’s case, it combines ICP and OpenShift to provide OpenShift clients IBM’s content material, built-in monitoring, and integrated logging onto the platform for which they are already standardized.

“as a result of they constructed and are standardized on Kubernetes, they supply Kubernetes carrier and they Do that at scale and relaxed, in addition to extremely accessible,” Berg cited.

Berg did warn towards using just one cloud vendor, and he too advised groups to breathe constant in what they covet out of their suppliers. “but the aspect that clients Do deserve to examine, and what they Do should standardize throughout an business, is a few of the core tenets and core applied sciences,” he introduced.

Visibility into workloads is too vital to a corporation’s operations, Berg explained. And IBM Cloud Monitoring does this. The appliance isn't wonderful to Kubernetes, both. fairly, it can breathe extended into digital machines and different forms of workloads. IBM’s monitoring is greatly helped by means of its partnership with Sysdig Inc., Berg introduced.

“you can’t build a cloud-native solution without monitoring, correct? Monitoring and log … it’s love peanut butter and jelly. You’ve got to possess them,” Berg concluded.

Watch the comprehensive video interview beneath, and breathe positive to check out more of SiliconANGLE’s and theCUBE’s coverage of the IBM deem event. (* Disclosure: IBM subsidized this section of theCUBE. Neither IBM nor different sponsors possess editorial manage over content on theCUBE or SiliconANGLE.)

photograph: SiliconANGLE on the grounds that you’re privilege here …

… We’d want to inform you about their mission and how that you can assist us fulfill it. SiliconANGLE Media Inc.’s enterprise mannequin is in response to the intrinsic value of the content, now not advertising. not love many online publications, they don’t possess a paywall or precipitate banner advertising, because they want to hold their journalism open, with out possess an sequel on or the need to chase site visitors.The journalism, reporting and commentary on SiliconANGLE — together with are living, unscripted video from their Silicon Valley studio and globe-trotting video teams at theCUBE — capture a lot of hard work, time and money. retaining the satisfactory extreme requires the back of sponsors who're aligned with their vision of ad-free journalism content.

if you love the reporting, video interviews and different advert-free content material privilege here, please capture a second to capture a peep at a pattern of the video content supported through their sponsors, tweet your guide, and maintain coming returned to SiliconANGLE.


Skytap declares Upcoming accepted Availability of First Self-carrier, Public Cloud Capabilities for IBM i | killexams.com true Questions and Pass4sure dumps

No sequel found, are trying fresh key phrase!SEATTLE, Feb. 11, 2019 /PRNewswire/ -- forward of IBM suppose, Skytap, a world, intention-constructed public cloud company, today announced that its assist for the IBM i operating ... remedy," spoke of Karri Alexio...

IBM: A Future Blockchain chief? | killexams.com true Questions and Pass4sure dumps

No outcomes found, try fresh keyword!(supply: IBM website) at present, IBM reports it has three basic desires in its blockchain method ... furthermore, IBM’s specialists within the box present further guide for those drawn to the technol...

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Java Cryptography | fragment 3 | killexams.com true questions and Pass4sure dumps

After you possess secured your private electronic information using encryption and scholarly how to encrypt and digitally token files for others, how Do you extract the information and determine who encrypted the file? Asymmetric public/private key encryption allows you to decipher the information and verify the accompanying digital signature if it exists.

This article illustrates how to decrypt and verify the digital signature on files encrypted using a hybrid combination of asymmetric public/private key encryption and symmetric encryption. A symmetric key is used to encrypt the file and the asymmetric public key encrypts the symmetric key. The asymmetric private key decrypts the symmetric key which in spin is used to decrypt the encrypted file.

Figure1: Asymmetric Key Encryption Functions

The identical pair of keys can breathe used with digital signatures. The private key is used to token a file and generate a digital signature. The public key is used to verify the authenticity of the signature.

Figure 2: Asymmetric Key Signature Functions

The decryption technique requires the Java libraries developed by the Legion of the Bouncy Castle (www.bouncycastle.org). The Bouncy Castle jars, bcprov-jdk15on-147.jar and bcpkix-jdk15on-147.jar, contains sum the methods required to encrypt, decrypt, token and verify a digital signature. The following Java code snippet loads the BouncyCastle provider, which implements the Java Cryptography Security services such as algorithms and key generation.

import org.bouncycastle.jce.provider.*;java.security.Security.addProvider(new BouncyCastleProvider());

Decryption for Files or Java ObjectsOnce a file has been encrypted and/or signed using the DocuArmor application, it can breathe deciphered by the owner of the matching asymmetric private key. The process involves reading the header, extracting the symmetric key and deciphering the appended encrypted data. The following steps along with the Java code snippets illustrate the process used to decrypt an encrypted file.

Step 1: Assume you want to decrypt the encrypted file, C:\sampleFile.txt.jxdoe_nnnn.asg and the String variable, tUniqueAlias = "jxdoe_nnnn", holds the alias associated to the encrypted file. Read the header from the encrypted file and determine decrypted output name.

File tSrcFile = fresh File("C:\\sampleFile.txt." + tUniqueAlias + ".aes");String tDecryptFile = tSrcFile.getName();tDecryptFile = tDecryptFile.substring(0, tDecryptFile.lastIndexOf('.'));tDecryptFile = tDecryptFile.substring(0, tDecryptFile.lastIndexOf('.'));OutputStream tFileOStream = fresh FileOutputStream(tDecryptFile);DataInputStream tDInStream =new DataInputStream(new FileInputStream(tSrcFile));Object tRC = CryptoHeader.readHeader(tDInStream);CryptoHeader tHead = (CryptoHeader)tRC;

Step 2: The private key is stored in a Java key store and is password protected. Load the key store using your password. Retrieve the asymmetric private key from the key store using the identical password. The asymmetric private key will breathe used to decrypt the symmetric key.

FileInputStream tFIStream = fresh FileInputStream("C:\\jxdoe_nnnn.jks");KeyStore tMyKStore = KeyStore.getInstance("JKS", "SUN");char[] tPW = "password".toCharArray();tMyKStore.load(tFIStream, tPW);PrivateKey tPrivKey = (PrivateKey)tMyKStore.getKey("jxdoe_nnnn", tPW);

Figure 3: Private Key

Step 3: Generate a Java Cipher protest using the asymmetric private key and set its mode to "Cipher.UNWRAP_MODE".

Cipher tCipherRSA = Cipher.getInstance("RSA", "BC");tCipherRSA.init(Cipher.UNWRAP_MODE, (PrivateKey)tPrivKey);

Step 4: employ the Java Cipher and asymmetric private key to unwrap the symmetric key. It's located in the header at the instance variable, wrappedSymKey or wrappedSymKeyOther, along with symmetric algorithm at symKeyAlgDesc. The symmetric key will breathe used to decrypt the file.

String tAlg = tHead.symKeyAlgDesc();Key tSymmetricKey =tCipherRSA.unwrap(tHead.wrappedSymKey(),tAlg, Cipher.SECRET_KEY);

Figure 4: Unwrap Symmetric Key

Step 5: Re-initialize the identical Cipher to Cipher.DECRYPT_MODE. employ the Cipher and the asymmetric private key to decrypt the initialization vector stored within the header at the instance variable initVector or initVectorOther.

tCipher.init(Cipher.DECRYPT_MODE, (PrivateKey)tPrivKey);byte[] tInitVector = tCipher.doFinal(tHead.initVector());IvParameterSpec tIvParmSpec = fresh IvParameterSpec(tInitVector);

Figure 5: Unwrap Initialization Vector

Step 6: Generate a Java Cipher protest using the symmetric key and initialization vector and set its mode to "Cipher.DECRYPT_MODE". The string representing the symmetric algorithm, mode and padding can breathe extracted from the Cryptography header using the "transformation" method.

tCipherDecrypt = Cipher.getInstance("AES/CTR/PKCS7Padding", "BC");or tCipherDecrypt = Cipher.getInstance(tHead.transformation(), "BC");tCipherDecrypt.init(Cipher.DECRYPT_MODE, tSymmetricKey, tIvParmSpec);

Step 7: employ the Java Cipher to decrypt the comfort of the file to a Java FileOutputStream. The DataInputStream points to the start of the encrypted data after reading the header. The discontinuance result is a decrypted file.

byte[] tInBuffer = fresh byte[4096];byte[] tOutBuffer = fresh byte[4096];int tNumOfBytesRead = tDInStream.read(tInBuffer);while (tNumOfBytesRead == tInBuffer.length) {//-Encrypt the input buffer data and store in the output bufferint tNumOfBytesUpdated =tCipherDecrypt.update(tInBuffer, 0, tInBuffer.length, tOutBuffer);tFileOStream.write(tOutBuffer, 0, tNumOfBytesUpdated);tNumOfBytesRead = tDInStream.read(tInBuffer);}//-Process the remaining bytes in the input file.if (tNumOfBytesRead > 0) {tOutBuffer = tCipherDecrypt.doFinal(tInBuffer, 0, tNumOfBytesRead);} else {tOutBuffer = tCipherDecrypt.doFinal();}tFileOStream.write(tOutBuffer, 0, tOutBuffer.length);tFileOStream.close();

Figure 6: Decipher the Encrypted File

Step 7a: If the encrypted file contains a Java object, employ the Java Cipher to decrypt the comfort of the file to a Java ByteArrayOutputStream instead of a FileOutputStream. The discontinuance result can breathe converted to an instance of its original Java class.

ByteArrayInputStream tBAIS = fresh ByteArrayInputStream(tBAOS.toByteArray());  ObjectInput tOIS = fresh ObjectInputStream(tBAIS);Object tObject = tOIS.readObject();  //-Original Java objecttBAOS.close();tBAIS.close();tOIS.close();

Alternatively, the identical technique can breathe used to decrypt the encrypted file using the symmetric key that was wrapped with the CA or owner's asymmetric public key. If the file was encrypted for another user, the owner can decrypt it using the additionally wrapped symmetric key. If the file was encrypted for oneself, the CA can decrypt it using the additionally wrapped symmetric key in the enterprise version.

Signature VerificationWhen a file has been digitally signed with a user's asymmetric private key, the signature is stored in the Cryptography header. The signature can breathe validated with the user's matching asymmetric public key stored in a certificate. The process involves reading the header, extracting the digital signature and validating it against the comfort of the signed file and the asymmetric public key. The following steps relate the process used to verify a digital signature.

Step 1: Assume you want to verify the signature on the encrypted and digitally signed file, "C:\sampleFile.txt.jxdoe_nnnn.asg" and the String variable, tUniqueAlias = "jxdoe_nnnn", holds the alias associated to the file. Read the header from the signed file. After the header is read, support in intelligence that the DataInputStream now points to the birth of the encrypted data.

File tSrcFile = fresh File("C:\\sampleFile.txt." + tUniqueAlias + ".asg");DataInputStream tDInStream =new DataInputStream(new FileInputStream(tSrcFile));Object tRC = CryptoHeader.readHeader(tDInStream);CryptoHeader tHead = (CryptoHeader)tRC;byte[] tCurrSignature = tHead.signature();

Step 2: Retrieve the certificate whose name is stored in the header and contains the asymmetric public key needed for verification. Retrieve the asymmetric public key from the certificate associated with the digital signature.

String tCertName = "C:\\" + tHead.verifySigCertName();InputStream tInStream = fresh FileInputStream(tCertName);CertificateFactory tFactory = CertificateFactory.getInstance("X.509","BC");X509Certificate tCert =(X509Certificate)tFactory.generateCertificate(tInStream);tInStream.close();PublicKey tPubKey = tCert.getPublicKey();

Figure 7: Extract Public Key

Step 3: Instantiate a Java signature engine and initialize it with the signature algorithm stored in the header and the asymmetric public key. The default value is "SHA512WithRSAEncryption".

Signature tSgnVerifyEngine = null;String tSigAlg = tHead.signatureAlgDesc();tSgnVerifyEngine = Signature.getInstance(tSigAlg,"BC");tSgnVerifyEngine.initVerify(tPubKey);

Step 4: employ the Java signature engine to process the comfort of the signed file and figure a hash number that will breathe compared with the signature stored in the header.

int tBlockSize = 4096;byte[] tBuffer = fresh byte[tBlockSize];int tLength = tDInStream.read(tBuffer);while (tLength == tBlockSize) {tSgnVerifyEngine.update(tBuffer, 0, tBlockSize);tLength = tDInStream.read(tBuffer);} if (tLength > 0) {tSgnVerifyEngine.update(tBuffer, 0, tLength);}

Step 5: After the file has been processed, employ the Java signature engine to verify its result with the digital signature. A Boolean result is returned on whether the signature was valid.

Boolean tResult = tSgnVerifyEngine.verify(tCurrSignature);

SummaryThe article demonstrates how to decrypt and verify the digit signature of and encrypted file using Java Cryptography methods and the Cryptography libraries from Bouncy Castle organization. Using the information provided within the Cryptography header, the user can validate who encrypted its contents and/or decipher the encrypted file. The header too provides the flexibility to expand the usage of Cryptography such as allowing multiple recipients to decrypt a file by using each of their public keys to encrypt the identical symmetric key. As society adopts file encryption as a yardstick passage of protection, more creative uses will breathe invented by future Cyber warriors.

The source code (LaCryptoJarSample.java) is available on the rational Answers Inc. website under the education web page as an individual file and too within the zip file, laCrypto-4.2.0.zipx.

References and Other Technical NotesSoftware requirements:

  • Computer running Windows XP or higher...
  • Java Runtime (JRE V1.7 or higher)
  • Recommended reading:

  • "Beginning Cryptography with Java" by David Hook.
  • "The Code Book" by Simon Singh

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    Many engineers complain that the non-deterministic deportment of the garbage collector prevents them from utilizing the Java environment for mission-critical applications, especially distributed message-driven displays (GUIs) where user responsiveness is critical. They correspond that garbage collection does occur at the worst times: for example, when a user clicks a mouse or a fresh message enters the system requiring immediate processing. These events must breathe handled without the detain of in-progress garbage collection. How Do they forestall these garbage collection pauses that tamper with the responsiveness of an application ("bothersome pauses")?

    We possess discovered a very effectual technique to forestall bothersome garbage collection pauses and build responsive Java applications. This technique or pattern is especially effectual for a distributive message-driven display system with soft real-time constraints. This article details this pattern in three simple steps and provides evidence of the effectiveness of the technique.

    Pattern to Control Garbage Collection PausesThe Java environment provides so many benefits to the software community - platform independence, industry momentum, a plethora of resources (online tutorials, code, interest groups, etc.), object-oriented utilities and interfaces (collections, network I/O, sway display, etc.) that can breathe plugged in and out - that once you possess experienced working with Java it's hard to travel back to traditional languages. Unfortunately, in some mission-critical applications, love message-driven GUIs that must breathe very responsive to user events, the requirements constrain you to capture that step backward. There's no room for multiple second garbage collection pauses. (The garbage collector collects sum the "unreachable" references in an application so the space consumed by them can breathe reused. It's a low-priority thread that usually only takes priority over other threads when the VM is running out of memory.) Do they really possess to lose sum the benefits of Java? First, let's esteem the requirements.

    A system engineer should esteem imposing requirements for garbage collection love the following list taken from a telecom industry specimen (see References).1.  GC sequential overhead on a system may not breathe more than 10% to ensure scalability and optimal employ of system resources for maximum throughput.2.  Any unique GC recess during the entire application precipitate may breathe no more than 200ms to meet the latency requirements as set by the protocol between the client and the server, and to ensure qualified response times by the server.

    Armed with these requirements, the system engineer has defined the worst-case deportment in a manner that can breathe tested.

    The next question is: How Do they meet these requirements? Alka Gupta and Michael Doyle develop excellent suggestions in their article (see References). Their approach is to tune the parameters on the Java Virtual Machine (JVM). They capture a slightly different approach that leaves the employ of parameter definitions as defined by the JVM to breathe used as a final tuning technique.

    Why not uncover the garbage collector what and when to collect?

    In other words, control garbage collection via the software architecture. develop the job of the garbage collector easy! This technique can breathe described as a multiple step pattern. The first step of the pattern is described below as "Nullify Objects." The second step involves forcing garbage collection to occur as delineated in "Forcing Garbage Collection." The final step involves either placing persistent data out of the gain of the collector or into a data pool so that an application will continue to perform well in the long run.

    Step 1: Nullify ObjectsMemory leaks strike horror into the hearts of programmers! Not only Do they degrade performance, they eventually terminate the application. Yet remembrance leaks prove very subtle and difficult to debug. The JVM performs garbage collection in the background, freeing the coder from such details, but traps still exist. The biggest danger is placing an protest into a collection and forgetting to remove it. The remembrance used by that protest will never breathe reclaimed.

    A programmer can forestall this ilk of remembrance leak by setting the protest reference and sum underlying protest references ("deep" objects) to null when the protest is no longer needed. Setting an protest reference to "null" tells the garbage collector that at least this one reference to the protest is no longer needed. Once sum references to an protest are cleared, the garbage collector is free to reclaim that space. Giving the collector such "hints" makes its job easier and faster. Moreover, a smaller remembrance footprint too makes an application precipitate faster.

    Knowing when to set an protest reference to null requires a complete understanding of the problem space. For instance, if the remote receiver allocates the remembrance space for a message, the comfort of the application must know when to release the space back for reuse. Study the domain. Once an protest or "subobject" is no longer needed, uncover the garbage collector.

    Thus, the first step of the pattern is to set objects to null once you're positive they're no longer needed. They call this step "nullify" and comprehend it in the definition of the classes of frequently used objects.

    The following code snippet shows a method that "nullifies" a track object. The class members that consist of primitives only (contain no additional class objects) are set to null directly, as in lines 3-5. The class members that hold class objects provide their own nullify method as in line 9.

    1 public void nullify () {23 this.threatId = null ;4 this.elPosition = null ;5 this.kinematics = null ;67 if (this.iff != null)8 {9 this.iff.nullify();10 this.iff = null ;11 }12 }

    The track nullify is called from the thread that has completed processing the message. In other words, once the message has been stored or processed, that thread tells the JVM it no longer needs that object. Also, if the protest was placed in some Collection (like an ArrayList), it's removed from the Collection and set to null.

    By setting objects to null in this manner, the garbage collector and thus the JVM can precipitate more efficiently. Train yourself to program with "nullify" methods and their invocation in mind.

    Step 2: "Force" Garbage CollectionThe second step of the pattern is to control when garbage collection occurs. The garbage collector, GC, runs as Java priority 1 (the lowest priority). The virtual machine, VM, runs at Java priority 10 (the highest priority). Most books recommend against the usage of Java priority 1 and 10 for assigning priorities to Java applications. In most cases, the GC runs during idle times, generally when the VM is waiting for user input or when the VM has precipitate out of memory. In the latter case, the GC interrupts high-priority processing in the application.

    Some programmers love to employ the "-Xincgc" directive on the Java command line. This tells the JVM to perform garbage collection in increments when it desires. Again, the timing of the garbage collection may breathe inopportune. Instead, they suggest that the garbage collector perform a full garbage collection as soon as it can in either or both of two ways:1.  Request garbage collection to occur as soon as possible: This method proves useful when the programmer knows he or she has a "break" to garbage collect. For example, after a large image is loaded into remembrance and scaled, the remembrance footprint is large. Forcing a garbage collection to occur at that point is wise. Another qualified district may breathe after a large message has been processed in the application and is no longer needed.2.  Schedule garbage collection to occur at a fixed rate: This method is optimal when the programmer does not possess a specific moment when he knows his application can stop shortly and garbage collect. Normally, most applications are written in this manner.

    Listing 1 introduces a class named "BetterControlOfGC". It's a utility class that provides the methods described earlier. There are two public methods: "suggestGCNow()" and "scheduleRegularGC(milliseconds)" that respectively correspond to the steps described earlier. Line 7 suggests to the VM to garbage collect the unreachable objects as soon as possible. The documentation makes it lucid that the garbage collection may not occur instantaneously, but experience has shown that it will breathe performed as soon as the VM is able to accomplish the task. Invoking the method on line 25 causes garbage collection to occur at a fixed rate as determined by the parameter to the method.

    In scheduling the GC to occur at a fixed rate, a garbage collection stimulator task, GCStimulatorTask, is utilized. The code extends the "java.util.timer" thread in line 10. No fresh thread is created; the processing runs on the unique timer thread available birth with the Java 1.3 environment. Similarly, to support the processing lean, the GC stimulator follows the Singleton pattern as shown by lines 18-23 and line 27. There can breathe only one stimulator per application, where an application is any code running on an instance of the JVM.

    We suggest that you set the interval at which the garbage collector runs from a Java property file. Thus you can tune the application without having to recompile the code. Write some simple code to read a property file that's either a parameter on the command line or a resource bundle in the class path. situation the command parameter "-verbose:gc" on your executable command line and measure the time it takes to garbage collect. Tune this number until you achieve the results you want. If the budget allows, experiment with other virtual machines and/or hardware.

    Step 3: Store Persistent Objects into Persistent Data Areas or Store Long-Lived Objects in PoolsUsing persistent data areas is purely optional. It supports the underlying premise of this article. In order to bind the disruption of the garbage collector in your application, develop its job easy. If you know that an protest or collection of objects would live for the duration of your application, let the collector know. It would breathe nice if the Java environment provided some sort of flag that could breathe placed on objects upon their creation to uncover the garbage collector "-keep out". However, there is currently no such means. (The Real-Time Specification for Java describes an district of remembrance called "Immortal Memory" where objects live for the duration of the application and garbage collection should not run.) You may try using a database; however, this may slack down your application even more. Another solution currently under the Java Community Process is JSR 107. JCache provides a yardstick set of APIs and semantics that allow a programmer to cache frequently used data objects for the local JVM or across JVMs. This API is still under review and may not breathe available yet. However, they believe it holds much plight for the Java developer community. support this avenue open and in intelligence for future architectures. What can they Do now?

    The pooling of objects is not fresh to real-time programmers. The concept is to create sum your expected data objects before you start processing, then sum your data can breathe placed into structures without the expense of instance creation during processing time. This has the odds of keeping your remembrance footprint stable. It has the handicap of requiring a "deep copy" method to breathe written to store the data into the pool. (If you simply set an protest to another, you're changing the protest reference and not reusing the identical space.) The nanosecond expense of the abysmal copy is far less than that of the protest instance creation.

    If the data pooling technique is combined with the proper employ of the "nullify" technique, garbage collection becomes optimized. The reasons are fairly straightforward:1.  Since the protest is set to null immediately after the abysmal copy, it lives only in the youthful generation portion of the memory. It does not progress into the older generations of remembrance and thus takes less of the garbage collector's cycle time.2.  Since the protest is nullified immediately and no other reference to it exists in some other collection protest in the application, the job of the garbage collector is easier. In other words, the garbage collector does not possess to support track of an protest that exists in a collection.

    When using data pools, it's sane to employ the parameters "-XX:+UseConcMarkSweepGC -XX:MaxTenuringThreshold=0 -XX:SurvivorRatio=128" on the command line. These uncover the JVM to streak objects on the first sweep from the fresh generation to the old. It commands the JVM to employ the concurrent brand sweep algorithm on the venerable generation that proves more efficient since it works "concurrently" for a multi-processor platform. For unique processor machines, try the "-Xincgc" option. We've seen those long garbage collector pauses, which occur after hours of execution, fade using this technique and these parameters. Performing well in the long precipitate is the trusty benefit of this eventual step.

    Performance ResultsTypically, most engineers want proof before changing their approach to designing and coding. Why not? Since we're now suggesting that even Java programmers should breathe concerned about resource allocation, it better breathe worth it! Once upon a time, assembly language and C programmers spent time tweaking remembrance and register usage to better performance. This step was necessary. Now, as higher-level object-oriented programmers they may disdain this thought. This pattern has dared to imply that such considerations, although not as low even as registers and remembrance addresses (instead at the protest level), are still necessary for high-performance coding. Can it breathe true?

    The underlying premise is that if you know how your engine works, you can drive it better to obtain optimal performance and endurance. This is as trusty for my 1985 300TD (Mercedes, five cylinder, turbo diesel station wagon) with 265,000 miles as for my Java code running on a HotSpot VM. For instance, knowing that a diesel's optimal performance is when the engine is warm since it relies on compression for power, I let my car warm up before I "push it." Similarly, I don't overload the vehicle with the tons of stuff I could situation in the tailgate. HotSpot fits the analogy. Performance improves after the VM "warms up" and compiles the HotSpot code into the endemic language. I too support my remembrance footprint rawboned and light. The comparison breaks down after awhile, but the basic veracity does not change. You can employ a system the best when you understand how it works.

    Our challenge to you is to capture statistics before and after implementing this pattern on just a miniature portion of your code. gratify recognize that the gain will breathe best exemplified when your application is scaled upward. In other words, the heavier the load on the system, the better the results.

    The following statistics were taken after the pattern was applied. They are charted as:1.  Limited nullify method invocation is used where only the incoming messages are not "nullified." (The balance of the application from which the statistics were taken was left intact with a very rawboned remembrance usage.) There is no forced garbage collection.2.  Nullify method invocation and forced garbage collection is utilized.

    The test environment is a Microsoft Windows 2000 X86 Family 15 Model 2 Stepping 4 Genuine Intel ~1794MHz laptop running the BEA WebLogic Server 7.0 with Service Pack 7.1 with a physical remembrance size of 523,704KB. The Java Message Server (JMS server), a track generator, and a tactical display are sum running on the identical laptop over the local developer network (MAGIC). The server makes no optimizations, even though each application resides locally. The JVMs are treated as if they were distributed across the network. They're running on the J2SE 1.4.1 release.

    The test target application is a Java sway Tactical display with full panning, zooming, and track-hooking capabilities. It receives bundles of tracks via the Java Message Service that are displayed at their proper location on the given image. Each track is approximately 88 bytes and the overall container size is about 70 bytes. This byte measurement does not comprehend sum the additional class information that's too sent during serialization. The container is the message that holds an array of tracks that contains information such as time and number of tracks. For their tests, the tracks are sent at a 1Hz rate. Twenty sets of data are captured.

    To illustrate the test environment, a screen capture of a 5,000 track load (4,999 tracks plus the ship) is shown in device 1. The background shows tracks rendered with the Military yardstick 2525B symbology over an image of the Middle East. The miniature window titled "Track Generator Desktop" is a minimized window showing the parameters of the test set through the track generator application. Notice that 45 messages had been sent at the time of the screen capture. Directly beneath this window sits the Windows chore Manager. Note that the CPU utilization is at 83%. At first this doesn't look that bad. But at that rate, there isn't much room for the user to start zooming, panning, hooking tracks, and so on. The final command window to the privilege is that of the tactical display application. The parameter "-verbose:gc" is placed on the Java command line (java -verbose:gc myMainApplication.class). The VM is performing the listed garbage collection at its own rate, not by command of the application.

    The final test of 10,000 tracks performed extremely poorly. The system does not scale; the CPU is pegged. At this point most engineers may jeer at Java again. Let's capture another peep after implementing the pattern.

    After implementation, where the nullify methods are invoked properly and garbage collection is requested at a intermittent interval (2Hz), melodramatic improvements are realized. The eventual test of 10,000 tracks proves that the processor still has plenty of room to Do more work. In other words, the pattern scales very well.

    Performance SummaryThe pattern to back control garbage collection pauses most definitely improves the overall performance of the application. Notice how well the pattern scales under the heavier track loads in the performance bar chart in device 2. The darker middle bar shows the processor utilization at each even of the message (track) load. As the message traffic increases, the processor utilization grows more slowly than without the pattern. The eventual light-colored bar shows the improved performance. The main force of the pattern is how well it scales under weighty message loads.

    There is another subtle force to the pattern. This one is difficult to measure since it requires very long-lived tests. If Step 3 is faithfully followed, those horribly long garbage collection pauses that occur after hours of running disappear. This is a key benefit to the pattern since most of their applications are designed to precipitate "forever."

    We're confident that many other Java applications would benefit from implementing this very simple pattern.

    The steps to control garbage collection pauses are:1.  Set sum objects that are no longer in employ to null and develop positive they're not left within some collection. "Nullify" objects.2.  constrain garbage collection to occur both:

  • After some major memory-intense operation (e.g., scaling an image)
  • At a intermittent rate that provides the best performance for your application3.  rescue long-lived data in a persistent data district if feasible or in a pool of data and employ the arrogate garbage collector algorithm.

    By following these three simple steps, you'll avoid those bothersome garbage collection pauses and bepleased sum the benefits of the Java environment. It's time the Java environment was fully utilized in mission-critical display systems.

    References

  • Gupta, A., and Doyle, M. "Turbo-Charging the Java HotSpot Virtual Machine, v1.4.x to better the Performance and Scalability of Application Servers": http://developer.java.sun.com/developer/ technicalArticles/Programming/turbo/
  • JSR 1, Real-Time Specification for Java: http://jcp.org/en/jsr/detail?id=1
  • Java HotSpot VM options: http://java.sun.com/docs/hotspot/VMOptions.html
  • Java Specification Request for JCache: http://jcp.org/en/jsr/detail?id=107

  • Silverlight v1.0 Beta vs. Silverlight 1.1 Alpha - Huh?? | killexams.com true questions and Pass4sure dumps

    By Kevin Hoffman

    Article Rating:

    May 2, 2007 11:15 AM EDT

    Reads:

    20,088 Kevin Hoffman's Blog

    The short of the tale is that Silverlight 1.0 applications don't back code-behind, they don't back making unpretentious XML calls back to a web service (despite some other people's claims to the contrary, 1.0 will not let you Do this!), and there is no true two-way binding (though you can set values of controls in response to events, which is what I call "old school" binding).

    Silverlight 1.1, however.. now this whole project is actually starting to clarify some promise. For starters, Silverlight 1.1:

  • Supports communication via XML over HTTP, which makes it yardstick for "RESTy POX". Note that the 1.1 alpha version doesn't allow cross-domain access, so you'll still possess to drop in server-side service proxies for accessing remote services (which is actually more secure anyway....)
  • You can write "code behind" your Silverlight apps in C# or VB.NET
  • You can write your Silverlight apps using the Dynamic Language Runtime, which means you accept to employ VB9 or IronPython.
  • Still has sum the loaded media/video back that Silverlight 1.0 has
  • Create a "Silverlight" project from Visual Studio "Orcas" Beta 1.
  • I'm going to breathe looking into this further and will breathe posting my thoughts on it, but now that they can finally play with a "real" version of Silverlight, they can hopefully stop the lunacy that was the 1.0 version.

    tags: silverlight  beta  alphalinks: digg this  del.icio.us  technorati  reddit

    Kevin Hoffman, editor-in-chief of SYS-CON's iPhone Developer's Journal, has been programming since he was 10 and has written everything from DOS shareware to n-tier, enterprise web applications in VB, C++, Delphi, and C. Hoffman is coauthor of Professional .NET Framework (Wrox Press) and co-author with Robert Foster of Microsoft SharePoint 2007 evolution Unleashed. He authors The .NET Addict's Blog at .NET Developer's Journal.

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