Developing Service-Based Software Systems with QoS Monitoring and Adaptation

Yau, Sik-Sang; Ye, N.; Sarjoughian, Hessam S.; Huang, Dazhi

doi:10.1109/ftdcs.2008.44

Cited by 21 publications

(16 citation statements)

References 13 publications

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“…Furthermore, the performance of SBS is usually measured from various aspects, such as timeliness, throughput, used bandwidth, allocated memory, and used percentage of CPU time. A performance model was presented in [7] to analyze the interrelations among these different performance requirements and different performance aspects using non-binary classification and regression trees on experimental data, which can predicate the value of a performance aspect from other performance aspects.…”

Section: Performance Metricmentioning

confidence: 99%

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An Adaptive Tradeoff Model for Service Performance and Security in Service-Based Systems

Yau

Yin

2009

2009 IEEE International Conference on Web Services

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The message-based communication among services in Service Oriented Architecture (SOA) is vulnerable to various security attacks, and has to be well protected by security mechanisms, which may sacrifice service performance due to limited system resources. In this paper, an adaptive tradeoff model for service performance and security in servicebased systems is presented. This model can be used to adjust security configurations of services to provide sufficient protection and satisfy service performance requirements for SOA-based systems simultaneously. The construction of this model includes the development of a set of metrics to quantitatively measure the performance and security of services, the development of a tradeoff objective function incorporating service performance and security, and the parameter estimation through experiments. An example of service-based secure voice communication system is used to illustrate the construction of this model.

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Section: Performance Metricmentioning

confidence: 99%

“…In this paper, we will present an adaptive tradeoff model for service performance and security in adaptable servicebased systems (ASBS) [7]. Typically, the tradeoff between performance and security is implemented through resource allocation, which needs to model all resources and change the systems' resource allocation strategy.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Tradeoff Model for Service Performance and Security in Service-Based Systems

Yau

Yin

2009

2009 IEEE International Conference on Web Services

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“…In [24], an integrated QoS management approach in SBS in order to satisfy user's QoS requirements by providing differentiated system resources and priority of workflows was presented. In [25,26], a general methodology for developing SBS with QoS monitoring and adaptation was introduced. This methodology supports monitoring of the changing system status, analysis and control of tradeoffs among multiple QoS features, and adapting its service configuration to satisfy multiple QoS requirements simultaneously.…”

Section: Current State Of Art Of Resource Allocation For Sbsmentioning

confidence: 99%

Adaptive resource allocation for service-based systems

Yau

2009

Proceedings of the First Asia-Pacific Symposium on Internetware

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Due to its major advantages, service-oriented architecture (SOA) has been adopted in various distributed systems, such as web services, grid computing systems, utility computing systems and cloud computing systems. These systems are referred as service-based systems (SBS). In order to effectively use these systems in various applications, one major challenge which must be addressed is to manage the quality of services (QoS) to satisfy users' requirements. In SBS, multiple services are often hosted by the same server and compete for the limited system resources of the server, such as CPU-time, memory and network bandwidth. In addition, service compositions, resource status of servers, workflow priorities and QoS requirements are usually dynamically changing in runtime. Hence, it is necessary to have effective techniques to allocate the system resources to each service provided by a server in order to satisfy the QoS requirements of multiple workflows in SBS. In this paper, a resource allocation approach is presented to adaptively allocating the system resources of servers to their services in runtime in order to satisfy one of the most important QoS requirements, the throughput, of multiple workflows in SBS.

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“…The model also includes five transducers for each of the software and the hardware components. Another simulation model is for a real Voice Communication Service (Yau et al 2008) which was used to validate the design and implementation of the SOADS environment. The Travel Agent Service and Voice Communication Service are used to show the primitive and composite service compositions.…”

Section: Example Simulation Modelmentioning

confidence: 99%

“…To develop the ASBS framework -design, implement, and test the Monitoring and Adaptation systems -we can develop a set of real composite and simulated services (Yau et al 2008). Together, real and simulated services enable analysis and design capabilities that are impractical to support by either real or simulated services alone.…”

Section: Introductionmentioning

confidence: 99%

A simulation framework for service-oriented computing systems

Sarjoughian¹,

Kim²,

Ramaswamy³

et al. 2008

2008 Winter Simulation Conference

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An SOA-compliant DEVS (SOAD) simulation framework is proposed for modeling service-oriented computing systems. A set of novel abstract component models that conform to the SOA principles and are grounded in the DEVS formalism is developed. The approach supports construction of hierarchical composition of service models with feedback relationships. A SOAD Simulator (SOADS) is designed and implemented. An exemplar model of a basic serviceoriented computing system is described. A representative experiment capturing throughput and timeliness QoS attributes for the exemplar model is devised, simulated, and described. The paper concludes with the concept of community-based development of the SOAD framework and tools.

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Developing Service-Based Software Systems with QoS Monitoring and Adaptation

Cited by 21 publications

References 13 publications

An Adaptive Tradeoff Model for Service Performance and Security in Service-Based Systems

An Adaptive Tradeoff Model for Service Performance and Security in Service-Based Systems

Adaptive resource allocation for service-based systems

A simulation framework for service-oriented computing systems

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