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IEEE Transaction on Cloud Computing (TCC)-"Adaptive Computing-plus-Communication Optimization Framework for Multimedia Processing in Cloud Systems"
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posted on 2017-04-21, 12:49 authored by Mohammad ShojafarMohammad Shojafar, Claudia Canali, Riccardo Lancellotti, Jemal AbawajyA clear trend in the evolution of network-based services is the ever-increasing amount of multimedia data involved. This trend towards big-data multimedia processing finds its natural placement together with the adoption of the cloud computing paradigm, that seems the best solution to cope with the demands of a highly fluctuating workload that characterizes this type of services. However, as cloud data centers become more and more powerful, energy consumption becomes a major challenge both for environmental concerns and for economic reasons. An effective approach to improve energy efficiency in cloud data centers is to rely on traffic engineering techniques to dynamically adapt the number of active servers to the current workload. Towards this aim, we propose a joint computing-plus-communication optimization framework exploiting virtualization technologies, called MMGreen. Our proposal specifically addresses the typical scenario of multimedia data processing with computationally intensive tasks and exchange of a big volume of data. The proposed framework not only ensures users the Quality of Service (through Service Level Agreements), but also achieves maximum energy saving and attains green cloud computing goals in a fully distributed fashion by utilizing the DVFS-based CPU frequencies. To evaluate the actual effectiveness of the proposed framework, we conduct experiments with MMGreen under real-world and synthetic workload traces. The results of the experiments show that MMGreen may significantly reduce the energy cost for computing, communication and reconfiguration with respect to the previous resource provisioning strategies, respecting the SLA constraints.
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SAMMClouds: Secure and Adaptive Management of MultiClouds
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- Networking and communications
- Optical fibre communication systems and technologies
- Cognitive neuroscience
- Distributed computing and systems software not elsewhere classified
- Other information and computing sciences not elsewhere classified
- Cyberphysical systems and internet of things
- Information systems not elsewhere classified
- Information systems organisation and management
- Knowledge and information management
- Entertainment and gaming
- Energy generation, conversion and storage (excl. chemical and electrical)
- Electrical engineering not elsewhere classified
- Software engineering not elsewhere classified
- Digital processor architectures
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network algorithmmultimedia streamsscheduling techniquesalgorithm selectiondistributed simulationData modelsEnergy consumptionResource managementMultimedia communicationServersComputer architectureNetworking and CommunicationsComputer Communications NetworksOptical Networks and SystemsNeurocognitive Patterns and Neural NetworksDistributed ComputingDistributed Computing not elsewhere classifiedInformation and Computing Sciences not elsewhere classifiedUbiquitous ComputingInformation SystemsInformation Systems OrganisationInformation Systems ManagementInformation Engineering and TheoryMultimedia ProgrammingEnergy Generation, Conversion and Storage EngineeringPower and Energy Systems Engineering (excl. Renewable Power)Computer SoftwareComputer EngineeringComputer System ArchitectureComputer Software not elsewhere classified
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