Cloud Data Storage and Query Processing Systems: A Review

نویسندگان

  • Imran Ashraf
  • Tayyaba Altaf
  • Ayesha Rashid
چکیده

With massive increase in data size, databases have grown beyond size that can be managed at a central point. So databases need to be distributed with capabilities of scaling, aggregation and coordination. With the advent of cloud computing resources are easy than ever to access with the possibility of scalability, increased performance, automatic resource adaptation and up and down scaling. However, suitable distributed management systems need to be developed to get the desired benefits from the cloud. Effective and efficient execution of users complicated queries is a critical task of systems in cloud computing. Distributed data storage and query systems in cloud computing needs to insure two things: efficiently organized data storage and optimized query execution with reduced cost. Different systems have been developed and deployed in cloud computing for this purpose. This paper aims at discussing some most commonly used systems with their pros and cons.

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تاریخ انتشار 2014