Towards workflow simulation in service-oriented architecture: an event-based approach

The success of the Internet and the ongoing globalization led to a demand for new solutions to meet the requirements for ITsystems. The paradigm of service-oriented and event-driven architecture with fine grained and loosely coupled services tries to cope with those needs. Service Oriented Architecture (SOA) and Event Driven Architecture (EDA) are two acknowledged architectures for the development of business applications and information systems, which have evolved separately over the years. Today both architectures are acknowledged, but their synergy is not. There are numerous benefits of having an architecture that supports coexistence between operations and events, and composition of services based on operation invocation and event triggering. As part of our ongoing research work, we have tried to analyze in this paper, the basic design of Event based systems, issues that have to be addressed when event based approach is used for composing and coordinating web services. Then we have specified the techniques available that handle these issues, and gave a comparative study on these techniques. Finally we have attempted to sort out the unhandled/ partially handled issues that could be addressed as part of our research.

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Performance Modeling for Quality of Service Prediction in Service-Oriented Systems

Handbook of Research on Service-Oriented Systems and Non-Functional Properties ◽

10.4018/978-1-61350-432-1.ch011 ◽

2012 ◽

pp. 258-279

Author(s):

Christoph Rathfelder ◽

Benjamin Klatt ◽

Franz Brosch ◽

Samuel Kounev

Keyword(s):

Quality Of Service ◽

Service Oriented Architecture ◽

Service Selection ◽

Quality Prediction ◽

Critical Systems ◽

Management Framework ◽

Service Oriented ◽

Prediction Techniques ◽

Event Based

With the introduction of services, systems become more flexible as new services can easily be composed out of existing services. Services are increasingly used in mission-critical systems and applications, and therefore, considering Quality of Service (QoS) properties is an essential part of the service selection. Quality prediction techniques support the service provider in determining possible QoS levels that can be guaranteed to a customer or in deriving the operation costs induced by a certain QoS level. In this chapter, we present an overview on our work on modeling service-oriented systems for performance prediction using the Palladio Component Model. The prediction builds upon a model of a service-based system, and evaluates this model in order to determine the expected service quality. The presented techniques allow for early quality prediction, without the need for the system being already deployed and operating. We present the integration of our prediction approach into an SLA management framework. The emerging trend to combine event-based communication and Service-Oriented Architecture (SOA) into Event-based SOA (ESOA) induces new challenges to our approach, which are topic of a special subsection.

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Service Oriented Solution Modeling and Variation Propagation Analysis Based on Architectural Building Blocks

International Journal of Web Services Research ◽

10.4018/ijwsr.2013100102 ◽

2013 ◽

Vol 10 (4) ◽

pp. 39-61 ◽

Cited By ~ 4

Author(s):

Liang-Jie Zhang ◽

Jia Zhang

Keyword(s):

Service Oriented Architecture ◽

Unified Modeling Language ◽

Building Blocks ◽

Software Systems ◽

Unified Modeling ◽

Actual Application ◽

Propagation Analysis ◽

Variation Propagation ◽

Service Oriented ◽

Event Based

In spite of the widely recognized benefits of applying Service Oriented Architecture (SOA) to design enterprise-scale software systems, its actual application practice is not always a success. One major reason is the lack of a systematic engineering process and tool supported by reusable architectural artifacts. Toward this ultimate goal, this paper proposes a new method of architectural building blocks (ABB)-based SOA solution design and it is applicable to any layered or tiered infrastructure. The authors present the modeling of solution-level architectural artifacts and their relationships, whose formalization enables event-based variation notification and propagation analysis. The goal is to provide architecture-level support for configuration and re-configuration of architectural artifacts based on industry practices. Their method also supports solution-level project variation management for the process of updating and maintaining architectural artifacts. The authors report a prototype tool that they have developed and describe how they extend the Unified Modeling Language (UML) mechanism to implement the system and enable solution-level enforcement as an example. The prototype has been applied in real projects as an SOA solution modeling tool.

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