一种工作流环境下能耗感知的多路径服务组合方法

当前,服务组合方法只考虑组合服务QoS的优化而不考虑组合服务的能耗优化.针对这一问题,文中首先根据不同情况提出了两种服务能耗模型;其次在基于工作流的服务组合环境下,提出了一种能耗感知的多路径服务组合方法 EAMSC.该方法对服务组合的能耗优化问题进行了数学建模,并提出了一种基于启发式的多路径服务组合算法,该算法包括两个部分:一是组合服务的可行路径查找,即在满足端到端QoS约束的前提下找出若干条可行的服务组合路径;二是请求速率的分配,即在可行的服务组合路径上依据服务能耗模型分配请求流量以降低组合服务的总体能耗.最后,仿真实验结果表明:能耗感知的多路径服务组合方法与传统的服务组合方法相比,能够在保证端到端QoS约束的基础上有效地减少组合服务的总能耗.

An Approach for Energy Aware Multipath Service Composition Based on Workflow

Currently,the approaches to service composition focus on QoS optimization and don’t consider the energy consumption on the composite service.First,this paper proposed the two models of service energy consumption for the two different cases;second,the approach for EAMSC(energy aware multipath service composition) was proposed for workflow-based service composition.In this approach,the optimization of energy consumption in service composition was transferred into the mathematical model.The heuristic multipath service composition algorithm was presented,which is including the two parts: one is to find some feasible paths in terms of the end to end QoS constraints;the other is to allocate the request traffic over the feasible paths in terms of the models of service energy consumption in order to reduce energy consumption.At last,the experimental result shows the approach to energy aware multipath service composition can effectively reduce energy consumption in the composite service while respecting the end-to-end QoS constraints.