Towards a Leaner Geo-distributed Cloud Infrastructure
Towards a Leaner Geo-distributed Cloud Infrastructure
复制标题
迈向更精简的地理分布式云基础设施
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Sriram Govindan
中科院分区：
文献类型：
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作者：
Iyswarya Narayanan;A. Kansal;A. Sivasubramaniam;B. Urgaonkar;Sriram Govindan
现代云基础设施是地理分布的。地理分布提供了许多优势，但可以增加所需的总云容量。为了实现低延迟，地理分布放弃了单个数据中心可以从中受益的统计多路传输需求。由于存储一致性问题，地理分布还会使软件设计复杂化。另一方面，地理分配可以通过消除个别地点的冗余或利用能源价格的地区差异来降低成本。我们讨论了影响地理分布的容量调配的几个因素，并量化了出现的延迟、可用性和容量权衡。我们描述了在设计高效利用云容量的软件方面的公开研究挑战。
Modern cloud infrastructures are geo-distributed. Geodistribution offers many advantages but can increase the total cloud capacity required. To achieve low latency, geo-distribution forfeits statistical multiplexing of demand that a single data center could benefit from. Geo-distribution also complicates software design due to storage consistency issues. On the other hand, geodistribution can lower costs through eliminating redundancies at individual sites or exploiting regional differences in energy prices. We discuss several factors that influence geo-distributed capacity provisioning, and quantify latency, availability, and capacity trade-offs that emerge. We describe open research challenges in designing software that efficiently uses cloud capacity.