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Innovations in Web Service Handling Architecture

Explore a new approach to distributed systems through Web Service handlers, discussing architectures, milestones, and challenges in this evolving field. Learn about the importance of message-oriented handlers, middleware, and workflow composition, enhancing simplicity, modularity, and quality of services.

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Innovations in Web Service Handling Architecture

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  1. Web Service Handler Architecture Beytullah Yildiz byildiz@indiana.edu

  2. Outline • Introduction • Background • Research • Statement • Motivation • Architecture • Issues • Milestones • References

  3. Introduction • Web service is define by W3C as: “A Web service is a software application identified by a URI, whose interfaces and bindings are capable of being defined, described, and discovered as XML artifacts.” • Handler is an incremental addition to Web Service functionalities • A new approach to Web Service Handler Architecture

  4. Distributed Systems • Creation of distributed systems has been studied for a long time • Derived from the need for integrating geographically distributed components • Service Oriented Architecture was proposed for seamless and loosely coupled interactions • Previous Distributed System Technologies • CORBA, DCOM • Web Services started after mid-2000 • SOAP Version 1.1 Release

  5. Web Services • Client-Server Architecture • SOAP Messaging • Transportation • Mainly HTTP • Others such as SMTP and FTP • Service Oriented Architecture • Reusable • Services share a formal contract • Loosely coupled • Services abstract underlying capability • Composable • Autonomous • Discoverable

  6. Web Service Standardization • Very important for integration • China cart wheel distance and language standardization • Around 60 specifications • UDDI,SOAP,WSDL • WS-Addressing, WS-ReliableMessaging, WS-Reliability, WS-Security,WS-Eventing,WS-Notification,WS-Context, WS-Resource Framework • Many groups are involved • Commercial Companies; Microsoft, IBM, Sun, SAP, BAE, TIBCO, Systinet and etc • Organizations; OASIS, GGF • Some specifications are competing • WS-ReliableMessaging and WS-Reliability • WS-Notification and WS-Eventing

  7. Web Service Handler I • Also known as “filter” • Incremental addition of capabilities • Request or response chain • Apache Axis, Web Service Enhancement • An example for current handler framework: Apache Axis • Sequential invocation • Shared memory usage, not concurrent processing • Static deployment • Communication via MessageContext object • Weak asynchronous messaging support • Mainly synchronous request/response communication paradigm

  8. Web Service Handler II • XSUL deploys a handler as a web service • Distributed for getting better performance and scalability • Have a contract (WSDL) for each handler deployment • Need to address dynamic handler deployment • addHandler(new handler()); • May need to have a mechanism such as message queuing to cope with • High volume input and output for each handler • Synchronization of concurrent processing ; automatic matching may be needed • Reliability and security for every interaction between handlers; may be very costly

  9. Message Oriented Middleware • Supports communication between distributed system components by facilitating message exchange. • Producer and consumer roles • Supports loosely coupled communication • Supports Publish/Subscribe and/or point to point communication • Supports asynchronous messaging • Supports reliable messaging • Glues together stand-alone applications and components • Each application may evolve independently from the others

  10. Work flow • Known as flow composition, orchestration and choreography • Very simple configuration file • Several specification for Web Service work flow : WSFL, WSBPEL, WS-Choreography • Provides execution sequence of the functionalities • Automates integration • Supports parallel processing • Supports optimization • Supports logging and tracking • Privacy and Security

  11. Proposal Statement • Handler is very critical in a flexible and simple Web Service architecture • A message-based handler approach significantly • improves • modularity • Simplicity • Quality of Services • by leveraging • A message Queuing mechanism • A Work-flow mechanism

  12. Motivation I • Simplicity • Very important criteria in distributed systems • Having only one notion; messaging • Making life easier for clients • Interoperability • “Integration has replaced security as the highest priority in IT planning for 2004” Integration Standard Trends (IDC) report • Improving interoperability by messaging • Scalability • Handling high volume of input and output messages • Coping with convoy effect of insufficient handler within the chain

  13. Motivation II • Performance • Reasonable response time • Necessity of more resources • CPU and Memory • Availability • Handlers are replicable • Reusability • Distributed handler can also be used • By many services • By many clients • Dynamic handler invocation

  14. Message-based Handler I • More natural for Web Service Architecture • Modular • Can work as a local and distributed component • A handler can be deployable in both Request and Response path • Supports dynamic handler • Can deal with high volume input and output

  15. Message-based Handler II • Supports four deployment types • One virtual machine (process) • Several virtual machines in one physical machine • Distributed over LAN • Distributed over WAN • Hybrid approach may be utilized • Easy to use • Able to leverage proven systems • Message Queue • Work flow mechanism

  16. Local Deployment • Same CPU and Memory space • Supports synchronous Request/response paradigm • Communicate via messaging • Configuration file versus work-flow mechanism

  17. Distribution of Handlers • Either one or many physical machines • Utilize one-way asynchronous messaging • Utilizes different resources, CPU and Memory • Can be deployed either alone or together with other components • May result in additional cost because of • Network latency • Flow Management • The nature of the distributed deployment needs to be investigated: Standalone application, Intermediary

  18. Hybrid Approach • Leverages both • Handlers staying in same memory space with services • Message-based Handlers • Decision is required about handler deployment approach • Performance versus modularity and simplicity

  19. Queue and Work Flow • Message queue addition • Supports high volume message and prevents message drops • Provides reliable communication between handlers • Supports asynchronous communication between handlers • Copes with memory utilization problems • Copes with synchronization related issues especially in case of voluminous inputs and outputs • Supports for different queuing type; priority, time and produce ordering • May support batching • May support flow control • Work Flow • Supports concurrent processing • Provides automatic integration • Optimizes overall deployment

  20. Overall Architecture

  21. Research Issues I • Quality of Services • Performance • Is performance reasonable when • we use messaging? • we distribute the handler? • Fault Tolerance • Can message-base deployment tolerate the faults? • Can mustUnderstand be utilized ? • Security • Is overall system secure if we distribute handlers over the network?

  22. Research Issues II • Nature of Message • How can a state be passed between handlers? • Metadata may be needed, WS-Context • Is SOAP Data Model ? • Is SOAP explicit communication media ? • Work Flow • Naming for handlers • Privacy and security • Concurrent processing

  23. Research issues III • Is handler appropriate for distribution? • Nature of handler; Reliability, Security • Decision about possible handlers • Three type of specifications • Affecting only header: WS-Context • Affecting only body: WS-Trust • Affecting both : WS-ReliableMessaging, WS-Reliability, WS-Eventing WS-Notification • Transformers • Federation, Mediation • Audit , logging

  24. Milestones • Selection of targeted handlers • Deployment for • implemented • WS-ReliableMesaging • WS-Reliability • WS-Eventing • WS-Notification • Loggers • others • Testing • Getting local deployment results • Getting distributed results. • Measuring message queuing contribution

  25. References • Service Oriented Architecture, Thomas Erl • Enterprise Service Bus, David A. Chappell • Developing Java Web Services, Ramesh Nagappan, Robert Skoczylas, Rima Patel Sriganesh • Java Web Service Architecture, James McGovern, Sameer Tyagi, Michael E. Stevens, Sunil Mathew • http://www.naradabrokering.org/ • http://www.informit.com • http://ws.apache.org/axis/java/index.html

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