Provisioning, placement and pipelining strategies for data-intensive applications in cloud environments
D Ghoshal, L Ramakrishnan - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
2014 IEEE International Conference on Cloud Engineering, 2014•ieeexplore.ieee.org
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 are required to obtain
better performance, scalability and reliability on cloud platforms. In this paper, we propose a
set of pipelining strategies to effectively utilize provisioned cloud resources. Our experiments
on the ExoGENI cloud testbed demonstrates the effectiveness of our approach in increasing …
intensive science applications need performance, scalability and reliability. However, these
can be hard to achieve in cloud environments. Intelligent strategies are required to obtain
better performance, scalability and reliability on cloud platforms. In this paper, we propose a
set of pipelining strategies to effectively utilize provisioned cloud resources. Our experiments
on the ExoGENI cloud testbed demonstrates the effectiveness of our approach in increasing …
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 are required to obtain better performance, scalability and reliability on cloud platforms. In this paper, we propose a set of pipelining strategies to effectively utilize provisioned cloud resources. Our experiments on the ExoGENI cloud testbed demonstrates the effectiveness of our approach in increasing performance and reducing failures.
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