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Novel Client-Cloud Architecture for Scalable Instance-Intensive Workflow Systems

机译：可伸缩实例密集型工作流系统的新型客户端云架构

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摘要

Though workflow technology is relatively mature and has been one of the most popular components of process aware systems over the last two decades, few workflow architectures can efficiently support a large number of concurrent workflow instances, i.e. instance-intensive workflows. The basic requirements include high throughput, elastic scalability, and cost-effectiveness. This paper proposes a novel client-cloud architecture which takes advantages of cloud computing to support instance-intensive workflows, presents an application level real-time resource utilization estimation model, and identifies two primary principles to ensure the sustainable scalability, namely: (1) the time for a load balancer checking must be less than the decaying time of a server instance when it is overloaded, (2) the sampling time for an alarming service plus the launching time of new server instance must be less than the decaying time of a server instance when it is overloaded. Based on the above, we design and implement the SwinFlow-Cloud prototype. Finally, we deploy and evaluate the prototype on Amazon Web Services cloud. The results show that the prototype is able to satisfy all the basic requirements for instance-intensive workflows.
机译：虽然工作流技术相对成熟，并且在过去二十年中一直是过程意识系统中最受欢迎的组件之一，但很少有工作流程架构可以有效地支持大量的并发工作流程，即实例密集型工作流程。基本要求包括高吞吐量，弹性可扩展性和成本效益。本文提出了一种新的客户端 - 云体系结构，该架构采用云计算来支持实例 - 密集型工作流程，提出了一个应用级实时资源利用率估计模型，并识别了两个主要原则，以确保可持续可扩展性，即：（1）负载均衡器检查的时间必须小于服务器实例的衰减时间过载时，（2）警报服务的采样时间加上新服务器实例的发布时间必须小于衰减时间服务器实例超载时。基于以上，我们设计并实施Swinflow-云原型。最后，我们部署和评估亚马逊Web服务云上的原型。结果表明，原型能够满足实例密集型工作流程的所有基本要求。

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