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Decentralized Computation Offloading Game for Mobile Cloud Computing [PDF]
IEEE Transactions on Parallel and Distributed Systems, 2015 The paper has been accepted by IEEE Transactions on Parallel and Distributed Systems (TPDS) Vol. 26, No. 4, pp.
Xu Chen
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To offload or not to offload? The bandwidth and energy costs of mobile cloud computing
2013 Proceedings IEEE INFOCOM, 2013The cloud seems to be an excellent companion of mobile systems, to alleviate battery consumption on smartphones and to backup user's data on-the-fly. Indeed, many recent works focus on frameworks that enable mobile computation offloading to software clones of smartphones on the cloud and on designing cloud-based backup systems for the data stored in ...
Marco Valerio Barbera +3 more
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Energy-Aware Computation Offloading in Wearable Computing
2017 International Conference on Computer and Applications (ICCA), 2017Wearable technology is an emerging computing paradigm with a broad range of attractive applications. However, wearable devices have limited compute capability, storage and battery lifetime, which hinder their use for compute-intensive applications. In this paper, we propose a lightweight computation offloading technique in which some of the workload is
Mariam Safar +2 more
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A Survey of Computational Offloading in Mobile Cloud Computing
2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2016With the rapid development of mobile cloud computing (MCC), the computational offloading in MCC arises. This paper focuses on the computational offloading topic in MCC. It analyzes the existing research, discusses computational offloading decisions, gives a simple comparison of computational offloading framework, and reviews the data offloading in the ...
Zhaosheng Zhang, Shuyu Li
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2019
Fog computing provides an efficient solution for mobile computing offloading, keeping tight constraints on the response time for real-time applications. The paper takes into account the variation of tasks by introducing the joint distribution function of the required processing volume and data size to be transmitted.
Eduard S. Sopin +2 more
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Fog computing provides an efficient solution for mobile computing offloading, keeping tight constraints on the response time for real-time applications. The paper takes into account the variation of tasks by introducing the joint distribution function of the required processing volume and data size to be transmitted.
Eduard S. Sopin +2 more
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QoE-driven computation offloading for Edge Computing
Journal of Systems Architecture, 2019Abstract We investigate a quality of experience (QoE) based computation offloading scheduling problem for Edge Computing, in which data processing and decision making are placed at the edge of the Internet and close to smart mobile devices and end users.
Jie Luo +3 more
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A Survey on Computation Offloading for Vehicular Edge Computing
Proceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City, 2019Vehicular Edge Computing (VEC) is a promising new paradigm that has received a lot of attention recently. Computation Offloading (CO) can migrate computing tasks to the network edge of VEC, which is critical for mobile applications that are sensitive to computation power.
Shuang Yuan, Yanfang Fan, Ying Cai 0003
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Mobile Cloud Computing: A multisite computation offloading
2016 8th International Symposium on Telecommunications (IST), 2016Mobile cloud computing is a promising approach to overcome limitations of mobile devices in terms of battery consumption and capability to execute computation-intensive applications. It consists in outsourcing some parts of computation-intensive applications to cloud servers, so that the overall energy consumption and execution time of application's ...
Mohammad Goudarzi +2 more
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Multiple access computational offloading with computation constraints
2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2017The shared computational resources provided by the mobile cloud computing paradigm offer the opportunity for mobile devices to reduce the energy expended, or the latency incurred, in performing significant computational tasks. To maximize their impact, cloud computing systems must jointly optimize the allocation of the computational and radio resources.
Mahsa Salmani, Timothy N. Davidson
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Learning for Computation Offloading in Mobile Edge Computing
IEEE Transactions on Communications, 2018Mobile edge computing (MEC) is expected to provide cloud-like capacities for mobile users (MUs) at the edge of wireless networks. However, deploying MEC systems faces many challenges, one of which is to achieve an efficient distributed offloading mechanism for multiple users in time-varying wireless environments.
Thinh Quang Dinh +3 more
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