2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) 2016
DOI: 10.1109/w-ficloud.2016.72
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Energy Efficiency in Mobile Cloud Computing Architectures

Abstract: Mobile Cloud Computing (MCC) is an emerging and popular mobile technology which uses fully available Cloud Computing services and functionalities. This technology provides rich computational services to the users, network operators and Cloud service providers as well. However due to users mobility and high computational operations, consumption of energy is a major issue. Energy efficiency over MCC is needed since 57% of generated energy is used by ICT related devices and other negative impacts over environment… Show more

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Cited by 7 publications
(3 citation statements)
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“…Giuseppe Procaccianti et.al. [27] suggested various techniques of hardware and software architecture for resolving the problems and started to analysis of the art and power of the energy efficient cloud computing software solutions. Although their proposed paper could not show the complete solution that can be considered as service level objective.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Giuseppe Procaccianti et.al. [27] suggested various techniques of hardware and software architecture for resolving the problems and started to analysis of the art and power of the energy efficient cloud computing software solutions. Although their proposed paper could not show the complete solution that can be considered as service level objective.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Mobile networks are suffering from "capacity crunch", meaning that network providers are struggling to meet the demand of mobile data services. To provide Quality-of-Service (QoS) to the user, the network provider must provide a rich set of services such as, increasing the network capacity and energy efficiency based on the user's mobility patterns [5].…”
Section: Related Workmentioning
confidence: 99%
“…This energy depends on the mobile characteristics, the network characteristics, and the size of data that is transferred. The table I shows the consumed energy measured for each tested solution [12]. The data compression is used in the proposed work, as it is required during the transmission of data between mobile and the cloud.…”
Section: Communication Energy: This Is Consumed Duringmentioning
confidence: 99%