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Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
ISBN: 978-1-4244-5445-7
pp: 1209
Brian Cooper , Yahoo Inc., USA
Dean Jacobs , SAP AG, Germany
Ashok Joshi , Oracle, USA
David Campbell , Microsoft, USA
Srinivas Narayanan , Facebook, USA
ABSTRACT
Cloud computing is a fast emerging computing paradigm for which no commonly accepted definition has yet emerged in the research community. Often, cloud computing denotes a business or service model where a hosted software or infrastructure is made available on a subscription or pay-peruse basis. Due to the massive parallel scale of the hosting environment, cloud computing is often also associated with highly scalable, fault-tolerant, and adaptable computing on large clusters of off-the-shelf computers. The simplicity as perceived from a user's perspective greatly distinguishes Cloud computing from grid computing. This is achieved by a much simpler API at a higher level of abstraction, which is used to deploy and to execute software and to access entire infrastructure stacks as services; the user pays for the service based on its usage. Another advantage of a Cloud computing platform is that the amount of resources required for performing a task does not have to be specified upfront; Cloud computing platforms are explicitly able to handle rapid scale-out. This flexibility allows for economic usage of resources based on demand. Currently, there is an active community evolving in the space of data management on cloud platforms, spurred to a large extent by the the Map/Reduce paradigm and the open-source framework Hadoop. Researchers explore query languages on top of the map/reduce paradigm, e.g., PigLatin, JAQL, Hive, optimization of map/reduce programs, and investigate and even teach map/reduce as a programming paradigm for web-scale computing. Researchers also explore multi-tenancy and the impact of the services model on infrastructure and application development.
CITATION
Brian Cooper, Dean Jacobs, Ashok Joshi, David Campbell, Srinivas Narayanan, "Cloudy skies for data management", ICDE, 2010, 2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013 IEEE 29th International Conference on Data Engineering (ICDE) 2010, pp. 1209, doi:10.1109/ICDE.2010.5447715
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