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Exam Name : IBM XIV Storage System Technical Solutions V4
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Interview: Frank Cohen on FastSOA | 000-456 actual questions and PDF Braindumps

InfoQ today publishes a one-chapter excerpt from Frank Cohen's publication  "FastSOA". On this occasion, InfoQ had an opportunity to consult with Frank Cohen, creator of the FastSOA methodology, in regards to the issues when making an attempt to technique XML messages, scalability, the usage of XQuery in the core tier, and doc-object-relational-mapping.InfoQ: can you briefly clarify the ideas in the back of "FastSOA"?

Frank Cohen: For the past 5-6 years I even have been investigating the influence an average Java developer's option of technology, protocols, and patterns for building capabilities has on the scalability and performance of the resulting application. as an instance, Java developers today have a choice of 21 distinctive XML parsers! each one has its own scalability, efficiency, and developer productiveness profile. So a developer's option on technology makes a big impact at runtime.

I checked out allotted systems that used message oriented middleware to make far flung system calls. Then I looked at soap-primarily based web functions. And most currently at rest and AJAX. These experiences led me to analyze SOA scalability and efficiency built using utility server, business service bus (ESB,) business system execution (BPEL,) and business integration (BI) tools. throughout all of these applied sciences I discovered a consistent theme: at the intersection of XML and SOA are large scalability and efficiency issues.

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FastSOA is a look at various methodology and set of architectural patterns to find and solve scalability and performance problems. The patterns train Java builders that there are native XML technologies, such as XQuery and native XML persistence engines, that may still be regarded moreover Java-only options.

InfoQ: What's "fast" about it? ;-)

FC: First off, let me describe the extent of the difficulty. Java developers building web enabled software today have loads of decisions. they have all heard about carrier Oriented architecture (SOA), internet services, leisure, and AJAX innovations. whereas there are lots of distinctive and competing definitions for these, most Java developers I talk to predict that they may be working with objects that message to different objects - in the community or on some faraway server - the use of encoded facts, and infrequently the encoded records is in XML format.

the character of these interconnected functions we're building means their application should tackle messages that can be small to significant and easy to complicated. trust the performance penalty of the use of a cleaning soap interface and streams XML parser (StAX) to deal with an easy message schema the place the message measurement grows. a modern and high priced multi-processor server that with no trouble serves forty to 80 net pages per 2d serves as little as 1.5 to 2 XML requests per 2nd.

Scalability Index

devoid of some kind of remediation Java application frequently slows to a crawl when managing XML statistics on account of a mismatch between the XML schema and the XML parser. for example, they checked one cleaning soap stack that instantiated 14,385 Java objects to handle a request message of 7000 bytes that contains 200 XML elements.

Of route, titling my work SlowSOA failed to sound pretty much as good. FastSOA offers a way to clear up lots of the scalability and efficiency problems. FastSOA makes use of native XML expertise to supply provider acceleration, transformation, and federation services in the mid-tier. for instance, an XQuery engine provides a soap interface for a carrier to handle decoding the request, seriously change the request facts into whatever thing greater helpful, and routes the request to a Java object or one more carrier.

InfoQ: One option to XML databinding in Java is using XML technologies, similar to XPath or XQuery. Why muddy the water with XQuery? Why no longer just use Java know-how?

FC:We're all after the equal basic desires:

  • first rate scalability and performance in SOA and XML environments.
  • speedy construction of utility code.
  • bendy and straightforward renovation of application code because the atmosphere and needs trade.
  • In SOA, internet service, and XML domains I discover the average Java decisions don't get me to all three dreams.

    Chris Richardson explains the area mannequin trial in his book POJOs in action. The domain mannequin is a favored pattern to construct web applications and is being used by way of many developers to build SOA composite applications and statistics capabilities.


    The area model divides into three portions: A presentation tier, an software tier, and an information tier. The presentation tier makes use of a web browser with AJAX and RSS capabilities to create a prosperous user interface. The browser makes a mixture of HTML and XML requests to the application tier. also on the presentation tier is a soap-based mostly net service interface to allow a consumer system to entry features without delay, reminiscent of a materials ordering function for a brand's service.

    at the application tier, an business Java Bean (EJB) or simple-historical Java object (Pojo) implements the company good judgment to respond to the request. The EJB makes use of a mannequin, view, controller (MVC) framework - for example, Spring MVC, Struts or Tapestry - to respond to the request with the aid of generating a response web web page. The MVC framework uses an object/relational (O/R) mapping framework - for example Hibernate or Spring - to keep and retrieve records in a relational database.

    I see difficulty areas that trigger scalability and performance complications when the usage of the domain model in XML environments:

  • XML-Java Mapping requires increasingly extra processor time as XML message measurement and complexity grows.
  • each and every request operates the entire carrier. as an instance, repeatedly the person will investigate order repute sooner than any popularity exchange is simple. If the system kept song of probably the most latest response's time-to-reside period then it should not have to operate all of the carrier to verify the most up to now cached response.
  • The vendor utility requires the request message to be in XML form. The facts the EJB prior to now processed from XML into Java objects now needs to be modified returned into XML aspects as a part of the request message. Many Java to XML frameworks - for instance, JAXB, XMLBeans, and Xerces ? require processor intensive transformations. also, I locate these frameworks challenging me to put in writing tricky and needlessly complex code to function the transformation.
  • The provider persists order advice in a relational database using an object-relational mapping framework. The framework transforms Java objects into relational rowsets and performs joins among varied tables. As object complexity and size grows my analysis shows many builders need to debug the O/R mapping to increase velocity and performance.
  • under no circumstances am I advocating a movement far from your current Java tools and techniques. there is plenty they will do to unravel these issues without throwing the rest out. for example, they could introduce a mid-tier carrier cache the use of XQuery and a local XML database to mitigate and accelerate many of the XML area specific requests.


    The talents to the use of the FastSOA architecture as a mid-tier service cache is in its capacity to keep any familiar type of data, and its electricity in directly matching capabilities with units of complicated parameters to effectively check when a carrier request will also be serviced from the cache. The FastSOA mid-tier service cache architectures accomplishes this by means of protecting two databases:

  • service Database. Holds the cached message payloads. as an instance, the carrier database holds a cleaning soap message in XML kind, an HTML net page, text from a short message, and binary from a JPEG or GIF photo.
  • coverage Database. Holds gadgets of enterprise common sense that appear into the carrier database contents and make choices on servicing requests with information from the service database or passing in the course of the request to the utility tier. as an instance, a coverage that receives a soap request validates safety information in the soap header to validate that a person may additionally acquire prior to now cached response data. In a different instance a coverage checks the time-to-reside value from a inventory market expense quote to see if it may reply to a request from the stock value stored within the provider database.
  • FastSOA makes use of the XQuery information mannequin to put into effect policies. The XQuery data model helps any regular type of document and any prevalent dynamic parameter used to fetch and assemble the document. Used to put in force policies the XQuery engine enables FastSOA to correctly investigate typical criteria of the facts within the carrier cache and the flexibility of XQuery allows for for person-driven fuzzy pattern fits to efficaciously characterize the cache.

    FastSOA makes use of native XML database expertise for the carrier and policy databases for efficiency and scalability motives. Relational database know-how delivers ample performance to persist policy and service facts in a mid-tier cache supplied the XML message schemas being saved are constant and the message sizes are small.

    InfoQ: What styles of efficiency benefits does this convey?

    FC: I implemented a scalability test to contrast native XML know-how and Java expertise to enforce a provider that receives soap requests.

    TPS for Service Interface

    The check varies the size of the request message amongst three ranges: 68 ok, 202 ok, 403 okay bytes. The check measures the roundtrip time to respond to the request on the purchaser. The check consequences are from a server with dual CPU Intel Xeon three.0 Ghz processors operating on a gigabit switched Ethernet network. I implemented the code in two techniques:

  • FastSOA method. makes use of native XML technology to supply a soap service interface. I used a business XQuery engine to reveal a socket interface that receives the cleaning soap message, parses its content material, and assembles a response cleaning soap message.
  • Java technique. makes use of the soap binding proxy interface generator from a well-liked commercial Java software server. an easy Java object receives the soap request from the binding, parses its content the use of JAXB created bindings, and assembles a response cleaning soap message using the binding.
  • The outcomes demonstrate a 2 to 2.5 instances efficiency improvement when the use of the FastSOA approach to expose carrier interfaces. The FastSOA system is quicker because it avoids lots of the mappings and transformations which are carried out in the Java binding strategy to work with XML information. The superior the complexity and size of the XML statistics the more advantageous may be the efficiency improvement.

    InfoQ: won't these problems get simpler with more moderen Java tools?

    FC: I bear in mind listening to Tim Bray, co-inventor of XML, extolling a big community of utility builders in 2005 to exit and write whatever XML formats they necessary for their functions. look at the entire diverse leisure and AJAX linked schemas that exist nowadays. they're all different and a lot of of them are moving objectives over time. because of this, when working with Java and XML the commonplace software or provider must cope with three data of life:

  • there is no gatekeeper to the XML schemas. So a message in any schema can arrive at your object at any time.
  • The messages could be of any size. for instance, some messages could be very short (under 200 bytes) while some messages can be gigantic (better than 10 Mbytes.)
  • The messages use fundamental to advanced schemas. for instance, the message schema can also have very few degrees of hierarchy (below 5 infants for each and every element) whereas different messages could have numerous levels of hierarchy (more suitable than 30 babies.)
  • What's needed is a straightforward strategy to consume any dimension and complexity of XML facts and to without difficulty hold it over time as the XML adjustments. This sort of altering landscape is what XQuery was created to handle.

    InfoQ: Is FastSOA handiest about improving service interface efficiency?

    FC: FastSOA addresses these problems:

  • Solves soap binding efficiency issues by means of cutting back the want for Java objects and increasing using native XML environments to provide cleaning soap bindings.
  • Introduces a mid-tier service cache to deliver SOA service acceleration, transformation, and federation.
  • makes use of native XML persistence to clear up XML, object, and relational incompatibility.
  • FastSOA Pattern

    FastSOA is an architecture that offers a mid-tier carrier binding, XQuery processor, and native XML database. The binding is a local and streams-based mostly XML information processor. The XQuery processor is the genuine mid-tier that parses incoming documents, determines the transaction, communicates with the ?local? service to reap the kept information, serializes the records to XML and retailers the data into a cache whereas recording a time-to-reside period. whereas this is an XML oriented design XQuery and native XML databases address non-XML records, together with photographs, binary info, and attachments. An equally essential benefit to the XQuery processor is the capacity to define policies that operate on the records at runtime in the mid-tier.


    FastSOA offers mid-tier transformation between a client that requires one schema and a service that only offers responses using a special and incompatible schema. The XQuery within the FastSOA tier transforms the requests and responses between incompatible schema forms.


    ultimately, when a service often should aggregate the responses from dissimilar capabilities into one response, FastSOA provides carrier federation. as an example, many content material publishers such as the long island instances provide new articles the usage of the rich web site Syndication (RSS) protocol. FastSOA may federate information evaluation articles published on an internet web page with late breaking information reviews from a couple of RSS feeds. This can be achieved in your utility however is enhanced done in FastSOA since the content (information outlets and RSS feeds) usually include time-to-reside values that are ideal for FastSOA's mid-tier caching.

    InfoQ: are you able to complex on the problems you see in combining XML with objects and relational databases?

    FC: while i recommend the use of a native XML database for XML persistence it's feasible to be successful the usage of a relational database. cautious attention to the excellent and nature of your software's XML is needed. for example, XML is already frequent to specific documents, doc codecs, interoperability necessities, and repair orchestrations. There are even arguments put ahead within the utility construction group to signify carrier governance in XML form and operated upon with XQuery strategies. In a world filled with XML, they utility builders must ask if it makes feel to make use of relational persistence engines for XML data. accept as true with these average questions:

  • How complicated is it to get XML records into a relational database?
  • How elaborate is it to get relational statistics to a carrier or object that wants XML information? Can my database retrieve the XML statistics with lossless fidelity to the customary XML facts? Will my database deliver applicable efficiency and scalability for operations on XML statistics saved in the database? Which database operations (queries, adjustments, complicated joins) are most prices in terms of performance and required components (cpus, community, memory, storage)?

    Your solutions to those questions forms a standards during which it's going to make sense to use a relational database, or most likely now not. The alternative to relational engines are native XML persistence engines similar to eXist, Mark common sense, IBM DB2 V9, TigerLogic, and others.

    InfoQ: What are the core ideas in the back of the PushToTest methodology, and what is its relation to SOA?

    FC: It frequently surprises me how few agencies, associations, and organizations have a method to examine functions for scalability and performance. One fortune 50 business asked a summer intern they wound up hiring to run a number of performance tests when he had time between other assignments to assess and establish scalability issues of their SOA application. That turned into their entire approach to scalability and performance testing.

    The business cost of operating scalability and performance exams comes as soon as a company formalizes a verify components that comprises the following:

  • choose the correct set of verify situations. for example, the check of a diverse-interface and excessive extent carrier may be distinctive than a carrier that handles periodic requests with huge message sizes. The examine needs to be oriented to handle the conclusion-person desires in the usage of the service and convey actionable knowledge.
  • accurate look at various runs. knowing the scalability and efficiency of a service requires dozens to a whole bunch of look at various case runs. advert-hoc recording of test results is unsatisfactory. look at various automation tools are ample and sometimes free.
  • Make the right conclusions when inspecting the consequences. knowing the scalability and performance of a carrier requires figuring out how the throughput measured as Transactions Per second (TPS) at the carrier client alterations with elevated message measurement and complexity and improved concurrent requests.
  • All of this requires a good deal greater than an advert-hoc method to attain constructive and actionable talents. So I constructed and published the PushToTest SOA test methodology to help utility architects, builders, and testers. The components is described on the PushToTest.com web website and i hold an open-supply check automation tool known as PushToTest TestMaker to automate and operate SOA exams.

    PushToTest provides international capabilities to its customers to use their system and equipment to convey SOA scalability capabilities. often they are a hit convincing an commercial enterprise or provider that contracts with PushToTest for primary analysis to let us publish the research under an open source license. as an instance, the SOA efficiency equipment comes with the encoding vogue, XML parser, and use instances. The package is purchasable for gratis down load at: http://www.pushtotest.com/Downloads/kits/soakit.html and older kits are at http://www.pushtotest.com/Downloads/kits.

    InfoQ: Thanks a great deal on your time.

    Frank Cohen is the main authority for checking out and optimizing software developed with service Oriented structure (SOA) and web carrier designs. Frank is CEO and founding father of PushToTest and inventor of TestMaker, the open-source SOA check automation device, that helps utility developers, QA technicians and IT managers bear in mind and optimize the scalability, efficiency, and reliability of their methods. Frank is writer of several books on optimizing assistance methods (Java checking out and Design from Prentice hall in 2004 and FastSOA from Morgan Kaufmann in 2006.) For the past 25 years he led probably the most utility business's most successful products, together with Norton Utilities for the Macintosh, Stacker, and SoftWindows. He begun via writing working techniques for microcomputers, helping establish video video games as an trade, assisting establish the Norton Utilities franchise, leading Apple's efforts into middleware and web technologies, and became major architect for the solar community Server. He cofounded Inclusion.web (OTC: IINC), and TuneUp.com (now Symantec net functions.) Contact Frank at fcohen@pushtotest.com and http://www.pushtotest.com.

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