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An agent-based service adaptation approach in distributed multi-tenant service-based systems

机译:分布式多租户基于服务的系统中基于代理的服务适配方法

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Service adaptation aims to alleviate the runtime quality management problem of distributed service based systems (SBSs). Most of the existing service adaptation approaches are designed for single-tenant SBSs. However, modern distributed SBSs must achieve multi-tenancy due to simultaneous existence of multiple tenants. Thus, it is vital to study service adaptation in distributed multi-tenant SBSs. Currently, service adaptation has not been properly addressed in distributed multi-tenant SBSs. Existing approaches for service adaptation in multi-tenant SBSs are centralised which are not very efficient if the SBSs are large and distributed. Some decentralised service adaptation approaches, which are developed in single-tenant SBSs, may be extended to accommodate multi-tenant SBSs. These approaches, however, either incur significant communication overhead to obtain required information, or simply assume that some specific global information is already known, which is not realistic in large and distributed SBSs. To overcome the limitations of existing approaches, in this paper, a novel agent-based hybrid service adaptation approach for distributed multi-tenant SBSs is proposed, which is based on the multi-agent coalition formation technique. Our hybrid approach combines the advantages of both centralised and decentralised approaches while avoiding their disadvantages. The experimental results demonstrate the effectiveness of the proposed approach. (C) 2018 Published by Elsevier Inc.
机译:服务调整旨在缓解基于分布式服务的系统(SBS)的运行时质量管理问题。现有的大多数服务调整方法都是为单租户SBS设计的。但是,由于多个租户同时存在,现代分布式SBS必须实现多租户。因此,研究分布式多租户SBS中的服务适应性至关重要。当前,在分布式多租户SBS中尚未适当解决服务自适应问题。多租户SBS中用于服务适配的现有方法是集中式的,如果SBS较大且分散,则效率不是很高。在单租户SBS中开发的一些分散式服务适应方法可能会扩展以适应多租户SBS。然而,这些方法或者招致巨大的通信开销以获得所需的信息,或者简单地假设已经知道一些特定的全局信息,这在大型且分布式的SBS中是不现实的。为了克服现有方法的局限性,本文提出了一种基于多主体联盟形成技术的,基于代理的分布式多租户SBS混合业务自适应新方法。我们的混合方法结合了集中式方法和分散式方法的优点,同时避免了它们的缺点。实验结果证明了该方法的有效性。 (C)2018由Elsevier Inc.发布

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