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Mobile cloud computing for computation offloading: Issues and challenges
Applied Computing and Informatics, 2018 Despite the evolution and enhancements that mobile devices have experienced, they are still considered as limited computing devices. Today, users become more demanding and expect to execute computational intensive applications on their smartphone devices.
Khadija Akherfi +2 more
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A Taxonomy of Computation Offloading in Mobile Cloud Computing
2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, 2014 The ability of cloud computing to provide almost unlimited storage, backup and recovery, and quick deployment contributes to its widespread attention and implementation. Cloud computing has also become an attractive choice for mobile users as well.
Nur Idawati Md Enzai, Maolin Tang
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Applied Sciences, 2020 This paper proposes a novel dynamic offloading decision method which is inspired by deep reinforcement learning (DRL). In order to realize real-time communications in mobile edge computing systems, an efficient task offloading algorithm is required. When
Soohyun Park +4 more
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Multiuser Computation Offloading and Downloading for Edge Computing With Virtualization [PDF]
IEEE Transactions on Wireless Communications, 2019 Mobile-edge computing (MEC) is an emerging technology for enhancing the computational capabilities of mobile devices and reducing their energy consumption via offloading complex computation tasks to the nearby servers. Multiuser MEC at servers is widely realized via parallel computing based on virtualization.
Zezu Liang +3 more
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Offloading IDS Computation to the GPU [PDF]
2006 22nd Annual Computer Security Applications Conference (ACSAC'06), 2006 Signature-matching Intrusion Detection Systems can experience significant decreases in performance when the load on the IDS-host increases. We propose a solution that off-loads some of the computation performed by the IDS to the Graphics Processing Unit (GPU). Modern GPUs are programmable, stream-processors capable of high-performance computing that in
Nigel Jacob, Carla E. Brodley
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IEEE Access, 2020 With the emergence of smart mobile devices (SMDs) and mobile applications, the cloud-mobile edge computing (MEC) collaborative computation offloading (CMCCO) scheme, i.e., offloading the computation-intensive task from the local SMD to either the MEC ...
Chao He, Ruyan Wang, Zefu Tan
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Delilah: eBPF-offload on Computational Storage
Proceedings of the 19th International Workshop on Data Management on New Hardware, 2023 The idea of pushing computation to storage devices has been explored for decades, without widespread adoption so far. The definition of Computational Programs namespaces in NVMe (TP 4091) might be a breakthrough. The proposal defines device-specific programs, that are installed statically, and downloadable programs, offloaded from a host at run-time ...
Niclas Hedam +4 more
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Code offloading on opportunistic computing [PDF]
2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS), 2014 Although mobile smart devices are becoming more and more resourceful, they cannot compete with higher-end devices in terms of computational capabilities. Therefore, it is generally advantageous to offload computationally intensive tasks. While cloud-based offloading is popular, it has a non-negligible impact on the energy consumption of mobile devices.
Alan Ferrari +2 more
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A Dual-Agent Approach for Coordinated Task Offloading and Resource Allocation in MEC
Journal of Electrical and Computer Engineering, 2023 Multiaccess edge computing (MEC) is a novel distributed computing paradigm. In this paper, we investigate the challenges of task offloading scheduling, communication bandwidth, and edge server computing resource allocation for multiple user equipments ...
Jiadong Dong +5 more
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IEEE Access, 2021 Fog computing is considered to be an effective method to solve the problem of high latency and high energy consumption of IoT devices. A suitable computation offloading strategy can provide a low offloading cost to the user device.
Wenle Bai +6 more
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