2010 | OriginalPaper | Buchkapitel
Data Management Challenges in Cloud Computing Infrastructures
verfasst von : Divyakant Agrawal, Amr El Abbadi, Shyam Antony, Sudipto Das
Erschienen in: Databases in Networked Information Systems
Verlag: Springer Berlin Heidelberg
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The challenge of building consistent, available, and scalable data management systems capable of serving petabytes of data for millions of users has confronted the data management research community as well as large internet enterprises. Current proposed solutions to scalable data management, driven primarily by prevalent application requirements, limit consistent access to only the granularity of
single objects, rows, or keys
, thereby trading off consistency for high scalability and availability. But the growing popularity of “cloud computing”, the resulting shift of a large number of internet applications to the cloud, and the quest towards providing data management services in the cloud, has opened up the challenge for designing data management systems that provide consistency guarantees at a granularity larger than
single rows and keys
. In this paper, we analyze the design choices that allowed modern scalable data management systems to achieve orders of magnitude higher levels of scalability compared to traditional databases. With this understanding, we highlight some design principles for systems providing scalable and consistent data management as a service in the cloud.