The Value of Cooperation: Minimizing User Costs in Multi-broker Mobile Cloud Computing Networks
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The Value of Cooperation: Minimizing User Costs in Multi-broker Mobile Cloud Computing Networks
Abstract— The Value of Cooperation: Minimizing User Costs in Multi-broker Mobile Cloud Computing Networks. The problem of user cost minimization in mobile cloud computing (MCC) networks. We consider a MCC model where multiple brokers assign cloud resources to mobile users. The model is characterized by an heterogeneous cloud architecture < Final Year Projects 2016 > and by the heterogeneous pricing strategies of cloud service providers. We investigate two classes of cloud reservation strategies, i.e., a competitive strategy, and a compete-then-cooperate strategy as a performance bound. We first study a purely competitive scenario where brokers compete to reserve computing resources from remote public clouds (which are affected by long delays) and from local cloudlets (which have limited computational resources but short delays).
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