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Today, data-intensive applications rely on geographically distributed systems to leverage data collection, storing and processing. Data locality has been seen as a prominent technique to improve application performance and reduce the impact of network latency by scheduling jobs directly in the nodes hosting the data to be processed. MapReduce and Dryad are examples of frameworks which exploit locality...
An increasing number of big-data services are being deployed in a cloud computing environment, attracted by the on-demand service, rapid elasticity, and low maintenance costs. As a result, ensuring the quality of service has become an important research problem. Traditionally, task rescheduling is used to ensure a consistent quality of service in the event of failure of a virtual machine. However,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.