MAGA: A Mobility-Aware Computation Offloading Decision for Distributed Mobile Cloud Computing
نویسندگان
چکیده
منابع مشابه
Framework for Computation Offloading in Mobile Cloud Computing
— The inherently limited processing power and battery lifetime of mobile phones hinder the possible execution of computationally intensive applications like content-based video analysis or 3D modeling. Offloading of computationally intensive application parts from the mobile platform into a remote cloud infrastructure or nearby idle computers addresses this problem. This paper presents our Mobi...
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Along with the rise of mobile handheld devices the resource demands of respective applications grow as well. However, mobile devices are still and will always be limited related to performance (e.g., computation, storage and battery life), context adaptation (e.g., intermittent connectivity, scalability and heterogeneity) and security aspects. A prominent solution to overcome these limitations ...
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Due to the significant advancement of Smartphone technology, the applications targeted for these devices are getting more and more complex and demanding of high power and resources. Mobile cloud computing (MCC) allows the Smart phones to perform these highly demanding tasks with the help of powerful cloud servers. However, to decide whether a given part of an application is cost-effective to ex...
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The Mobile Cloud Computing is a promising technology that has provided a way to overcome the limitations of the mobile devices. The advancement of mobile devices technology has made the applications of these devices more complex and resource famished. Mobile cloud computing has created opportunities to execute these applications on the mobile devices by migrating the compute intensive task to t...
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ژورنال
عنوان ژورنال: IEEE Internet of Things Journal
سال: 2018
ISSN: 2327-4662
DOI: 10.1109/jiot.2017.2776252