面向IaaS层的多代理多云市场模型及广义稳定匹配

Shrenik Jain, Suresh Purini, P. V. Reddy
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引用次数: 6

摘要

在本文中,我们提出了一个具有多个云提供商、中间代理和最终用户的基础设施即服务(IaaS)层的多云市场模型。代理通过聚合来自云提供商的资源(虚拟机)来为订阅它们的最终用户提供服务,同时最大化它们的利润。同样,云提供商(生产者)将其虚拟机供应分配给经纪人(消费者),以实现利润最大化。我们在这种市场结构中定义了社会福利的概念,并研究了两种交易方案。第一种方案涉及集中控制,其目的是使社会福利最大化,但可能包含不稳定的生产者-消费者对,他们有偏离当前分配的动机。第二种方案通过对稳定匹配算法的推广来消除这种不稳定配对,但可能导致次优的社会福利。本文提出的稳定匹配算法是对原Gale-Shapley算法的一种特殊推广。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multi-Cloud Marketplace Model with Multiple Brokers for IaaS Layer and Generalized Stable Matching
In this paper, we propose a multi-cloud marketplace model for Infrastructure-as-a-Service (IaaS) layer with multiple cloud providers, intermediate brokers and end users. The brokers service end users subscribed to them by aggregating resources (virtual machines) from cloud providers while maximizing their profits. Similarly cloud providers (producers) allocate their supply of virtual machines to brokers (consumers) so as to maximize their profits. We define the notion of social welfare in this market structure and study two trading schemes. The first scheme involves centralized control which aims at maximizing social welfare but may contain unstable producer-consumer pairs who have an incentive to deviate from the current allocation. The second scheme eliminates such unstable pairs by using a generalization of stable matching algorithm but may lead to sub-optimal social welfare. The stable matching algorithm we proposed in this paper is a particular way of generalizing the original Gale-Shapley algorithm.
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