摘要
科学工作流调度在自治网格和竞争市场环境下变得极具挑战性.为了兼顾科学用户和服务提供者的需要,提出效用网格环境下市场驱动的科学工作流调度框架:使用平衡定价机制推导出多个资源约束情况下的服务价格,最大化服务提供者的利润和实现资源的最优分配;成本优化映射策略引入成本梯度因子作为服务选择的标准,提高调度算法的优化能力和优化速度.性能模拟表明该框架不仅实现了较高的资源节点收益和资源利用率,还可在保证用户QoS要求的前提下优化不同类型科学工作流的执行成本.
Scheduling of scientific workflow is becoming more challenging for autonomous grid and egoism of competitive market.We proposed market-driven scientific workflow scheduling framework(MSWSF) in utility grid to consider the benefits of both scientific users and service providers.Equilibrium pricing scheme derives service price under multiple resource constraints to achieve optimal allocation of resources and maximal profits of service providers.Cost optimization mapping strategy introduces a cost gradient metric as a criterion for service selection in order to improve optimization capability and speed.Performance simulation proves MSWSF not only can achieve high average profits of resource nodes and resource utilization rate,but also can optimize usage cost of different types of scientific workflows while satisfying QoS requirements.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2010年第10期2416-2421,共6页
Acta Electronica Sinica
基金
国家863高技术研究发展计划(No.2006AA01A113)
国家自然科学基金(No.61070017)
山东大学研究生自主创新基金(No.YZC09063)
关键词
网格计算
任务调度
科学工作流
服务定价
grid computing
task scheduling
scientific workflow
service pricing