On-Demand Resource Provisioning for BPEL Workflows Using Amazon's Elastic Compute Cloud

Tim Dörnemann, Ernst Juhnke, Bernd Freisleben
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引用次数: 142

Abstract

BPEL is the de facto standard for business process modeling in today's enterprises and is a promising candidate for the integration of business and Grid applications. Current BPEL implementations do not provide mechanisms to schedule service calls with respect to the load of the target hosts. In this paper, a solution that automatically schedules workflow steps to underutilized hosts and provides new hosts using Cloud computing infrastructures in peak-load situations is presented. The proposed approach does not require any changes to the BPEL standard.  An implementation based on the ActiveBPEL engine and Amazon's Elastic Compute Cloud is presented.
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使用Amazon的弹性计算云为BPEL工作流提供按需资源配置
BPEL是当今企业中业务流程建模的事实上的标准,并且是集成业务和网格应用程序的一个很有前途的候选者。当前的BPEL实现没有提供根据目标主机的负载来调度服务调用的机制。本文提出了一种解决方案,可以自动将工作流步骤调度到未充分利用的主机上,并在峰值负载情况下使用云计算基础设施提供新的主机。建议的方法不需要对BPEL标准进行任何更改。提出了一个基于ActiveBPEL引擎和Amazon的弹性计算云的实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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