Researchers often demand bursts of computing power to quickly obtain the results of certain simulation activities. Multimedia communication simulations usually belong to such category. They may require several days on a generic PC to test a comprehensive set of conditions depending on the complexity of the scenario. This paper proposes to use a cloud computing framework to accelerate these simulations and, consequently, research activities, while at the same time reducing the overall costs. A practical simulation example is shown, representative of a typical simulation of H.264/AVC video communications over a wireless channel. This work shows that, by means of a commercial cloud computing provider, the gains of the proposed technique compared to more traditional solutions using dedicated computers can be significant in terms of speed and cost reduction.
Moving Multimedia Simulations into the Cloud: a Cost-Effective Solution / Masala, Enrico. - STAMPA. - (2012), pp. 32-39. (Intervento presentato al convegno 10th IEEE Intl. Symp. on Parallel and Distributed Processing with Applications tenutosi a Leganes, Madrid, Spain nel July 2012) [10.1109/ISPA.2012.13].
Moving Multimedia Simulations into the Cloud: a Cost-Effective Solution
MASALA, Enrico
2012
Abstract
Researchers often demand bursts of computing power to quickly obtain the results of certain simulation activities. Multimedia communication simulations usually belong to such category. They may require several days on a generic PC to test a comprehensive set of conditions depending on the complexity of the scenario. This paper proposes to use a cloud computing framework to accelerate these simulations and, consequently, research activities, while at the same time reducing the overall costs. A practical simulation example is shown, representative of a typical simulation of H.264/AVC video communications over a wireless channel. This work shows that, by means of a commercial cloud computing provider, the gains of the proposed technique compared to more traditional solutions using dedicated computers can be significant in terms of speed and cost reduction.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2501544
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