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- W3160964534 abstract "In the recent era, for mobile users, adequate computing power, pledge execution preference, and energy efficiency are the primary concerns. Mobile cloud offloading is a promising solution that transfers resource-intensive computation to powerful servers on the cloud and receives results. It makes computing power universally available and provides cloud agility in resource acquisition. The combination of smart devices with cloud services has become promising features for mobile computing services. It reduces the mobile restriction and provides sky land features to their native client regarding storage elasticity, computation services, network communication, and bandwidth services on their premises. This combination technology called Mobile Cloud Computing (MCC) reduces the anxiety of Smart Device Users (SMU) to provide efficient and intelligent services on demand. We emphasize how mobile cloud computing can increase efficiency and maximize mobile energy through cloud offloading techniques. Further, we explain the offloading methods and their execution process. This study’s main objective is to propose a framework called MRARIA, which advocates the major obstacle in the mobile cloud premises. Proposed framework use novel components (signal strength determiner) that provide a favorable decision in code offloading techniques from client devices to cloud resources. The novel component determines signal quality (e.g.-37dBm) and pays attention to efficiently executing the task process. The proposed framework checks the overall thin client execution time and energy efficiency while executing resource-intensive applications. Testing prototype results justify performance perfection to execute resource-intensive Applications (RIA’s) in the MRARIA framework that efficiently select cloud resources." @default.
- W3160964534 created "2021-05-24" @default.
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- W3160964534 date "2021-03-27" @default.
- W3160964534 modified "2023-10-04" @default.
- W3160964534 title "A mobile cloud resourceful communication architecture (MRARIA) for resource-intensive applications" @default.
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- W3160964534 doi "https://doi.org/10.1109/nccc49330.2021.9428807" @default.
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