ACO-based solution for computation offloading in 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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Mobile-cloud computing seeks to boost mobile devices by offloading compute-intensive tasks in mobile applications to more powerful machines. Existing mobile-cloud systems use a restricted strategy of computation and communication, which limits the scope of offloaded tasks and the applications that can utilize offloading. We explore the opportunities and challenges of relaxing this strategy alon...
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We consider a dynamic offloading problem arising in the context of mobile cloud computing (MCC). In MCC, three types of tasks can be identified: (i) those which can be processed only locally in a mobile device, (ii) those which are processed in the cloud, and (iii) those which can be processed either in the mobile or in the cloud. For type (iii) tasks, it is of interest to consider when they sh...
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Cloud computing permits the end user to access the required software or hardware structures on demand. This will reduce the cost of installation and maintenance. Mobile Cloud Computing (MCC) is introduced to increase the experience of end user by providing them the services at best. The development of cloud computing and virtualization techniques, enables smart phones to overcome the resource l...
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The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Offloading computation to multiple devices is an effective method to reduce energy consumption and enhance performance for mobile applications. Android provides mechanisms for creating mobile applications but lacks a native scheduling system for determining where code should be execut...
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ژورنال
عنوان ژورنال: Big Data and Information Analytics
سال: 2015
ISSN: 2380-6966
DOI: 10.3934/bdia.2016.1.1