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Multi-criterial Offloading Decision Making in Green Mobile Cloud Computinghere may be various issues such as resource heterogeneity, mobility, network connectivity, amount of communication and computation etc., which makes it challenging to provide low latency offloading and low energy consumption of the user device. This chapter discusses on various factors for multi-obj

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5G Green Mobile Cloud Computing Using Game Theoryta can be easily processed and stored. Comparing and storing data in the cloud with the right mathematical model is a very important task compared to the amount of data that is increasing in the future. A useful tool for this is game theory, in which data is easily offloaded from the device through

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Geospatial Green Mobile Edge Computing: Challenges, Solutions and Future Directions. On the other side, due to the ever-increasing growth in accumulated geospatial data, there are significant research interests in extracting meaningful insights and implicit knowledge from the voluminous geospatial data pool. Nevertheless, the major challenge lies in high computational and storage

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Dynamic Voltage and Frequency Scaling Approach for Processing Spatio-Temporal Queries in Mobile Envion environment due to huge amount of .. emission. In the recent decade, a significant growth in the research domain of “green” and low power consumption network has been observed. With the recent advancements of compute intensive machine learning frameworks like deep learning, the energy consumption

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