Provisioning, Placement and Pipelining Strategies for Data-Intensive Applications in Cloud Environments
作者： Devarshi Ghoshal , Lavanya Ramakrishnan
DOI: 10.1109/IC2E.2014.66
关键词: Cloud testing 、 Data transmission 、 Set (abstract data type) 、 Testbed 、 Scalability 、 Distributed computing 、 Cloud computing 、 Computer science 、 Reliability (computer networking) 、 Provisioning
摘要: Clouds are increasingly being used for running data-intensive scientific applications. Data-intensive science applications need performance, scalability and reliability. However, these can be hard to achieve in cloud environments. Intelligent strategies required obtain better reliability on platforms. In this paper, we propose a set of pipelining effectively utilize provisioned resources. Our experiments the ExoGENI testbed demonstrates effectiveness our approach increasing performance reducing failures.
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