Service Oriented Resource Allocation in Mobile Cloud Computing

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The success of wireless networks and Cloud Computing technologies is carrying the technological advances to offer complete transparent and elastic services to the ever-growing number of mobile wireless devices. Mobile Cloud Computing is a novel paradigm that promises to provide processing and storage offloading capabilities by transferring computing resources from the mobile devices to cloud services. Challenges come from the fact that design rationale for Mobile Cloud Computing functional components has been focusing on only a very limited scope of key performance factors. Advanced Mobile Cloud scenarios require more complex mechanisms as result of being deployed in more distributed and heterogeneous infrastructures, thus driving the need for a novel design rationale. ***The long-term objective of this proposal is to develop innovative contributions (e.g., techniques, algorithms, methodologies, and the like) to support efficient modeling and design of offloading decision making coupled with a distributed resource allocation system capable of dynamically composing and self-organizing an end-to-end optimal cloud Infrastructure. The composed infrastructure is optimized for the execution of a mobile application workload. Research effort will include the following four short-term objectives:***(1) Develop analytical modelling for decentralized processing offloading decision making where strategic software components and algorithms take timely decisions on what, when, and how to start the processing offloading procedures. ***(2) Design the building blocks of a Mobile Cloud Computing architecture with their respective functionalities, aiming at (i) accommodating scalability requirements for mobile applications; (ii) providing decentralized decision making mechanisms to mobile devices in order to ease the management load at the cloud computing providers; (iii) minimizing control signaling overhead between mobile devices and the distributed cloud computing infrastructure; and (iv) realizing the dynamic computation of?oading decision update procedures (monitoring, elasticity). ***(3) Develop a dynamic resource provisioning and allocation based on factors such as the availability of cloud resources, the performance optimization objective and the topology awareness of clouds and mobile devices. ***(4) Develop a working prototype to demonstrate usefulness, capabilities, and performance of the novel Mobile Cloud Computing framework. ***The outcome of the project will significantly advance the state-of- the-art on resource allocation in Mobile Cloud Computing. It will also have profound impact on the development of industrial Mobile Cloud Computing resource management systems. The research is particularly critical for the sustained growth of mobile applications. Finally, it will provide excellent opportunities for training highly qualified personal.**