SoD: Design of Service-based Software Systems with QoS Monitoring and Adaptation and Adaptation
SoD: Design of Service-based Software Systems with QoS Monitoring and Adaptation and Adaptation
批准号:
0725340
负责人:
Stephen Yau
金额:
$80.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-08-01 至 2011-07-31
中文摘要
P0725340SoD:基于服务的软件系统的QoS监控和自适应设计基于服务的软件系统stephen S. Yau(首席研究员)Hessam S. Sarjoughian(联合首席研究员)Nong Ye(联合首席研究员)面向服务的体系结构(SOA)使分布式应用程序的快速组合和“系统的系统”的集成成为可能,因此在分布式计算系统中被迅速采用。由于对基于服务的系统(service-based systems, SBS)中与服务操作相关的多个QoS特性之间的权衡缺乏全面的理解,现有的软件工程技术无法有效地支持同时满足多个QoS特性的SBS设计。本研究的目的是开发一个框架,有效地将QoS监控和适应(M/ a)功能整合到SBS中,以处理SBS设计中四个重要QoS特征(及时性、吞吐量、准确性和安全性)之间的权衡。为了实现这一目标,本文将对适应性SBS(ASBS)中的M/A能力设计进行研究,并对ASBS设计进行基于仿真的验证。预期的研究成果包括关于活动-状态-事件- qos权衡的因果动力学的新科学知识,对M/A能力的创新设计支持,以及支持ASBS设计的模型可配置性和可扩展仿真的新仿真原理和方法。这些成果不仅可以加强软件设计的科学严谨性,缩小软件设计与系统设计之间的差距,还可以提高软件工程、高级信息系统、软件建模与仿真等方面的教育水平。
英文摘要
P0725340SoD: Design of Service-based Software Systems with QoS Monitoring and AdaptationStephen S. Yau (Principal Investigator)Hessam S. Sarjoughian (Co-Principal Investigator)Nong Ye (Co-Principal Investigator)Service-Oriented Architecture (SOA) enables the rapid composition of distributed applications and integration of the "system of systems", and hence is quickly adopted in distributed computing systems. Due to lack of comprehensive understanding of tradeoffs among multiple QoS features associated with service operations in service-based systems (SBS), existing software engineering techniques cannot effectively support the design of SBS satisfying multiple QoS features simultaneously.The objective of this research is to develop a framework effectively incorporating QoS Monitoring and Adaptation (M/A) capabilities in SBS to handle tradeoffs among four important QoS features (timeliness, throughput, accuracy and security) in the design of SBS. To achieve this objective, research on the design of M/A capabilities in Adaptable SBS(ASBS) and simulation-based validation of ASBS design will be conducted.Expected research results include new scientific knowledge about the cause-effect dynamics of activity-state-event-QoS tradeoffs, innovative design support for M/A capabilities, and new simulation principles and methods to support model configurability and scalable simulation of ASBS designs.These results will not only strengthen the scientific rigor of software design and reduce the gap between software design and system design, but also improve the education in software engineering, advanced information systems, and software modeling and simulation.
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