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Automated selection of offloadable tasks for mobile computation offloading in edge computing
2017 13th International Conference on Network and Service Management (CNSM), 2017Mobile computation offloading has recently attracted much interest and first offloading solutions have been developed. However, the relevant technical challenge of how to automatically determine offloadable sections of Android applications has not been adequately investigated so far.
Alessandro Zanni +4 more
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NearBy-Offload: An Android based Application for Computation Offloading
2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), 2020Computation offloading in fog computing not only addresses the computation-intensive and delay-sensitive needs of IoT applications but also improves the network lifetime of the IoT-Fog paradigm. As fog node suits as a place for availing offloading services, it introduces another challenge, i.e., selection of most suitable fog node among available ...
Ashutosh Kumar +2 more
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A survey on computation offloading modeling for edge computing
Journal of Network and Computer Applications, 2020Abstract As a promising technology, edge computing extends computation, communication, and storage facilities toward the edge of a network. This new computing paradigm opens up new challenges, among which computation offloading is considered to be the most important one.
Sherali Zeadally, Lusheng Wang, Hai Lin
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Computation Offloading Toward Edge Computing
Proceedings of the IEEE, 2019We are living in a world where massive end devices perform computing everywhere and everyday. However, these devices are constrained by the battery and computational resources. With the increasing number of intelligent applications (e.g., augmented reality and face recognition) that require much more computational power, they shift to perform ...
Li Lin 0001 +3 more
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Adaptive Offloading for Pervasive Computing
IEEE Pervasive Computing, 2004Delivering a complex application on a resource-constrained mobile device is challenging. An adaptive offloading system enables dynamic partitioning of the application and efficient offloading of part of its execution to a nearby surrogate. To deliver pervasive services without modifying the application or degrading its fidelity, we propose an adaptive ...
Xiaohui Gu +4 more
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Establishing Trust for Computation Offloading
2009 Proceedings of 18th International Conference on Computer Communications and Networks, 2009Computation offloading can extend the battery life- time of a portable device by migrating computation to grid- powered servers. The server may charge the portable device for the computation performed, thus providing offloading as a service. The portable device has to trust that the server has indeed performed the computation as claimed.
Karthik Kumar +2 more
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Distributed Optimization for Computation Offloading in Edge Computing
IEEE Transactions on Wireless Communications, 2020Edge computing is a promising technology that offers data analysis and computing for Internet of Things (IoT) services at the network edge. It has the potential to significantly reduce the latency and improve the reliability of IoT services by allowing computation workloads and local data generated by IoT devices to be offloaded to edge nodes.
Rongping Lin +6 more
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User-Centric Computation Offloading for Edge Computing
IEEE Internet of Things Journal, 2021The number of smart devices newly connected to the Internet has grown exponentially in recent years. These smart devices are interwoven into huge Internet of Things. There is a contradiction between mass data transmission and communication bandwidth, the distance between supercomputing power and processing object, and the demand of frequent interaction
Xiaoheng Deng +4 more
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A Survey of Computation Offloading With Task Types
IEEE Transactions on Intelligent Transportation SystemsAccepted by IEEE Transactions on Intelligent Transportation ...
Yi Ma, Na Yi, Siqi Zhang
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Multiple access computational offloading
2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2016Mobile cloud computing provides shared computational resources to which mobile devices can offload computational tasks in order to reduce energy consumption or reduce the latency of the task execution. The decision of whether or not to offload a task can be formulated as a joint optimization problem over the available computational and radio resources.
Mahsa Salmani, Timothy N. Davidson
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