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Backend Consistency for Large-Scale Live Services
Companies that build large live cloud service face daunting scalability and availability requirements. Often, these are met at the expense of consistency, e.g., allowing shopping carts to lose items (oh well), or for web search to return stale results (oh well). These solutions fail to meet today's advanced cloud services, for which consistency is a must. For example, Microsoft SQL Azure provides live relational DB services from a cloud. Microsoft FAST Search Server provides indexing and search hosting services for enterprises. In both, clients benefit from quick deployment and transparent management by a cloud which is provisioned and managed by with the highest assurance.
The backend systems supporting these live services guarantee strict data consistency while maintaining scalability, high availability, and failure handling. The talk reviews lessons taken from the innovative architectures and algorithms designed to meet the extreme requirements of these large live data services
author = {Dahlia Malkhi},
title = {Backend Consistency for {Large-Scale} Live Services},
booktitle = {9th International Workshop on Peer-to-Peer Systems (IPTPS 10)},
year = {2010},
address = {San Jose, CA },
url = {https://www.usenix.org/conference/iptps-10/backend-consistency-large-scale-live-services},
publisher = {USENIX Association},
month = apr
}
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