Abstract
Multimedia cloud is an emerging computing paradigm that can effectively process media services and provide adequate quality of service (QoS) for multimedia applications from anywhere and on any device at lower cost. However, the mobile clients are still not getting their services in full due to its intrinsic nature such as limited battery life, disconnection, and mobility. In this paper, we propose a context-aware task scheduling algorithm that efficiently allocates the suitable resources to the clients. A queuing-based system model is presented with heuristic resource allocation. The simulation results showed that the proposed solutions provide better performance as compared to the state-of-the-art approaches.
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S, D., S, M., Peter, J.D. (2018). A Two-Stage Queue Model for Context-Aware Task Scheduling in Mobile Multimedia Cloud Environments. In: Rajsingh, E., Veerasamy, J., Alavi, A., Peter, J. (eds) Advances in Big Data and Cloud Computing. Advances in Intelligent Systems and Computing, vol 645. Springer, Singapore. https://doi.org/10.1007/978-981-10-7200-0_26
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DOI: https://doi.org/10.1007/978-981-10-7200-0_26
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