{"title":"Tiera: towards flexible multi-tiered cloud storage instances","authors":"A. Raghavan, A. Chandra, J. Weissman","doi":"10.1145/2663165.2663333","DOIUrl":null,"url":null,"abstract":"Cloud providers offer an array of storage services that represent different points along the performance, cost, and durability spectrum. If an application desires the composite benefits of multiple storage tiers, then it must manage the complexity of different interfaces to these storage services and their diverse policies. We believe that it is possible to provide the benefits of customized tiered cloud storage to applications without compromising simplicity using a lightweight middleware. In this paper, we introduce Tiera, a middleware that enables the provision of multi-tiered cloud storage instances that are easy to specify, flexible, and enable a rich array of storage policies and desired metrics to be realized. Tiera's novelty lies in the first-class support for encapsulated tiered cloud storage, ease of programmability of data management policies, and support for runtime replacement and addition of policies and tiers. Tiera enables an application to realize a desired metric (e.g., low latency or low cost) by selecting different storage services that constitute a Tiera instance, and easily specifying a policy, using event and response pairs, to manage the life cycle of data stored in the instance. We illustrate the benefits of Tiera through a prototype implemented on the Amazon cloud. By deploying unmodified MySQL database engine and a TPC-W Web bookstore application on Tiera, we are able to improve their respective throughputs by 47% -- 125% and 46% -- 69%, over standard deployments. We further show the flexibility of Tiera in achieving different desired application metrics with minimal overhead.","PeriodicalId":262822,"journal":{"name":"International Middleware Conference","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Middleware Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2663165.2663333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
Cloud providers offer an array of storage services that represent different points along the performance, cost, and durability spectrum. If an application desires the composite benefits of multiple storage tiers, then it must manage the complexity of different interfaces to these storage services and their diverse policies. We believe that it is possible to provide the benefits of customized tiered cloud storage to applications without compromising simplicity using a lightweight middleware. In this paper, we introduce Tiera, a middleware that enables the provision of multi-tiered cloud storage instances that are easy to specify, flexible, and enable a rich array of storage policies and desired metrics to be realized. Tiera's novelty lies in the first-class support for encapsulated tiered cloud storage, ease of programmability of data management policies, and support for runtime replacement and addition of policies and tiers. Tiera enables an application to realize a desired metric (e.g., low latency or low cost) by selecting different storage services that constitute a Tiera instance, and easily specifying a policy, using event and response pairs, to manage the life cycle of data stored in the instance. We illustrate the benefits of Tiera through a prototype implemented on the Amazon cloud. By deploying unmodified MySQL database engine and a TPC-W Web bookstore application on Tiera, we are able to improve their respective throughputs by 47% -- 125% and 46% -- 69%, over standard deployments. We further show the flexibility of Tiera in achieving different desired application metrics with minimal overhead.