A Social-Oriented Mobile Cloud Scheme for Optimal Energy Conservation

A Social-Oriented Mobile Cloud Scheme for Optimal Energy Conservation

Constandinos X. Mavromoustakis (University of Nicosia, Cyprus), George Mastorakis (Technological Educational Institute of Crete – Agios Nikolaos, Greece), Athina Bourdena (University of Nicosia, Cyprus), Evangelos Pallis (Technological Educational Institute of Crete – Heraklion, Greece), Dimitrios Stratakis (Technological Educational Institute of Crete – Heraklion, Greece), Emmanouil Perakakis (Technological Educational Institute of Crete – Agios Nikolaos, Greece), Ioannis Kopanakis (Technological Educational Institute of Crete – Agios Nikolaos, Greece), Stelios Papadakis (Technological Educational Institute of Crete – Agios Nikolaos, Greece), Zaharias D. Zaharis (Aristotle University of Thessaloniki, Greece), Christos Skeberis (Aristotle University of Thessaloniki, Greece) and Thomas D. Xenos (Aristotle University of Thessaloniki, Greece)
DOI: 10.4018/978-1-4666-8225-2.ch005


This chapter elaborates on energy usage optimization issues by exploiting a resource offloading process based on a social-oriented mobile cloud scheme. The adoption of the proposed scheme enables for increasing the reliability in services provision to the mobile users by guaranteeing sufficient resources for the mobile application execution. More specifically, this chapter describes the process to improve the energy consumption of the mobile devices through the exploitation of a social-oriented model and a cooperative partial process offloading scheme. This research approach exploits social centrality, as the connectivity model for the resource offloading, among the interconnected mobile devices to increase the energy usage efficiency, the mobile nodes availability, as well as the process of execution reliability. The proposed scheme is thoroughly evaluated to define the validity and the efficiency for the energy conservation increase of future mobile computing devices.
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Social networking experiences a great increase in the current mobile networks, becoming part of the users’ daily routines, while it creates a communications overlay that can be exploited by several services and applications (Hu, Mostashari, Xie, 2010). The mobile users connect to the social media platforms via small devices (e.g. smart phones, tablets) that require increased resources (e.g. memory, processing resources etc.) availability. In addition, the emerging mobile networks will exhibit unique properties, depending on the behavior of the mobile users, their mobility and their local concentration. The prediction of their behavior is a complicated task, while the relation with social-oriented issues could be a solution, towards successfully managing the resources under an efficient approach. Furthermore, the sharing of the resources by the mobile devices is even more demanding, since the applications require sharing to happen in a seamless way, with the minimum possible delays and the maximum possible Quality of Experience (QoE) (Mavromoustakis, 2010). This is a demanding target due to the fact that the wireless networks cannot reliably commit to share the resources, towards creating a consistent communication between the users, since there is no way to guarantee resource allocation. In addition, the mobility factor plays an important role, since it imposes further limitations, as the network topology continuously generates fluctuation in the resource usage and their availability. Furthermore, the dependency on the device capabilities limits particular solutions to be adopted, lacking generality in its applicability. In this framework and by taking into account all such issues, this chapter elaborates on a social interactivity method to model and perform resource sharing in wireless networking platforms.

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