EAGER: Towards a Marketplace for Colocation of Cloud Services
EAGER: Towards a Marketplace for Colocation of Cloud Services
批准号:
0952145
负责人:
Azer Bestavros
金额:
$19.98万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-10-01 至 2011-09-30
中文摘要
云计算正在改变我们对计算、存储和网络资源使用和管理方式的看法;带来更高的成本效益,并提供灵活的按需扩展能力。沿着这些思路,这个项目探索了“协作游戏”(CGS)作为一个新颖的、经济合理的框架的优点,在这个框架上可以实现新兴的云架构。CGS允许对理性、自私的各方进行交互以尝试最大限度地降低它们为确保支持其应用程序服务质量或SLA要求所需的共享云资源而招致的个人成本时产生的动态进行建模和分析。CGS提供了一种有吸引力的替代方法,不同于那些要求此类各方信任云提供商(他们可能具有相互冲突的激励)的方法,或者那些期望此类各方利他主义或接受不保证性能隔离的尽力方法的方法。除了开发CGs及其变体的分析基础外,该项目还涉及对其中一些云基础设施变体的实施和实验评估,为为自主、自组织系统开发革命性的分布式资源管理替代方案铺平道路,在这种情况下,采用全局优化方法(集中式或分布式)既不现实,也不合理。这个项目涉及到从经济学到分布式系统设计的技术应用。学生在这些方面的跨学科培训促进了技术创新,这些创新不仅认识到并缓解了羽翼未丰的云计算体系结构的不同利益相关者之间的争斗
英文摘要
Cloud computing is transforming our perception of how computing, storage, and networking resources are consumed and managed; yielding improved cost efficiencies, and delivering flexible, on-demand scalability. Along these lines, this project explores the merits of "Colocation Games" (CGs) as a novel, economically-sound framework upon which emerging cloud architectures could be implemented. CGs enable the modeling and analysis of the dynamics that result when rational, selfish parties interact in an attempt to minimize the individual costs they incur to secure the shared cloud resources necessary to support their application QoS or SLA requirements. CGs offer an attractive alternative to approaches that require such parties to trust cloud providers (who may have conflicting incentives), or those that expect such parties to be altruistic or to accept best-effort approaches that do not guarantee performance isolation. In addition to developing the analytical underpinnings of CGs and variants thereof, this project involves the implementation and experimental evaluation of some of these variants for cloud infrastructures, paving the way for the development of a revolutionary distributed resource management alternative for autonomic, self-organizing systems, in which the adoption of a global optimization approach (centralized or distributed) would be neither practical nor justifiable. This project involves the application of techniques from economics to the design of distributed systems. The interdisciplinary training of students along these dimensions promotes technical innovations that are not only cognizant of, but also mitigate the tussle between the various stakeholders of fledgling cloud computing architectures
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