4,681 Hits in 6.3 sec

Towards Computation Offloading in Edge Computing: A Survey

Congfeng Jiang, Xiaolan Cheng, Honghao Gao, Xin Zhou, Jian Wan
2019 IEEE Access  
Computation offloading plays a crucial role in edge computing in terms of network packets transmission and system responsiveness through dynamic task partitioning between cloud data centers and edge servers  ...  In this paper a thorough literature review is conducted to reveal the state-of-the-art of computation offloading in edge computing.  ...  [102] investigated the mobile edge cloud system with energy harvesting equipment, and design a dynamic computation offloading strategy.  ... 
doi:10.1109/access.2019.2938660 fatcat:qcpqojzxsnbsnmuez3x2ew4sqa

Secure and Energy-Efficient Computational Offloading Using LSTM in Mobile Edge Computing

Muhammad Arif, F. Ajesh, Shermin Shamsudheen, Muhammad Shahzad, Mamoun Alazab
2022 Security and Communication Networks  
the scheme of edge cloud scheduling helps to optimize the edge computing offloading model.  ...  So, this paper proposed a secure and energy-efficient computational offloading scheme using LSTM.  ...  Mobile edge computing (MEC) networks have two major challenges: energy efficiency and security.  ... 
doi:10.1155/2022/4937588 fatcat:cm54h5tfcze43btke5hdxctbqi

Computation Offloading in Mobile Cloud Computing and Mobile Edge Computing: Survey, Taxonomy, and Open Issues

Mohammed Maray, Junaid Shuja, Syed Ahmad Chan Bukhari
2022 Mobile Information Systems  
Cloud and mobile edge computing (MEC) provides a wide range of computing services for mobile applications.  ...  Based on user behavior and demand, the computational tasks are first offloaded from mobile users to the mobile edge network and then executed at one or several specific base stations in the mobile edge  ...  application, and the main aim of this approach is to improve the efficiency of energy utilization in mobile devices. is aim is achieved by offloading annotated parts such as methods or threads to gain  ... 
doi:10.1155/2022/1121822 fatcat:agfciwfownfbrgkqcw2hxpwlte

Mitigation Impact of Energy and Time Delay for Computation Offloading in an Industrial IoT Environment Using Levenshtein Distance Algorithm

Ahsan Rafiq, Ping Wang, Min Wei, Muhammad Saleh Ali Muthanna, Nteziriza Nkerabahizi Josbert
2022 Security and Communication Networks  
IoT devices can offload the data for computation to the cloud server or edge nodes.  ...  Performance evaluation of our proposed algorithm shows that it can achieve satisfactory energy efficiency and mitigate time delay in the industrial IoT environment.  ...  problem, the best way is to offload all the device tasks on the cloud or edge devices. e mobile edge computing application becomes free after offloading and results in high performance.  ... 
doi:10.1155/2022/6469380 doaj:5fd68c9ee04c459881d2a1f7fa3d72dd fatcat:rpcat65rgjayncnu5kajmkxyxu

Exploiting Massive D2D Collaboration for Energy-Efficient Mobile Edge Computing [article]

Xu Chen, Lingjun Pu, Lin Gao, Weigang Wu, Di Wu
2017 arXiv   pre-print
A key objective of this framework is to achieve energy-efficient collaborative task executions at network-edge for mobile users.  ...  In this article we propose a novel Device-to-Device (D2D) Crowd framework for 5G mobile edge computing, where a massive crowd of devices at the network edge leverage the network-assisted D2D collaboration  ...  and the mobile-edge cloud in order to optimize the overall energy efficiency.  ... 
arXiv:1703.10340v1 fatcat:mcis24dvzjbitbpwqk7jdv7fsq

Task Offloading Strategy and Simulation Platform Construction in Multi-User Edge Computing Scenario

Guilu Wu, Zhongliang Li
2021 Electronics  
Mobile edge computing (MEC) technology is an effective computing method that is used to solve this problem at the edge of network for multiple mobile users.  ...  In this paper, we propose the multi-user task offloading strategy based on game theory to reduce the computational complexity and improve system performance.  ...  A survey of computational offloading in mobile cloud computing.  ... 
doi:10.3390/electronics10233038 fatcat:ih4zzkbiqbdypbzy6wzzhvyrke

A Taxonomy of Computation Offloading in Mobile Cloud Computing

Nur Idawati Md Enzai, Maolin Tang
2014 2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering  
The taxonomy provides guidelines to identify research scopes in computation offloading for mobile cloud computing. We also outline directions and anticipated trends for future research.  ...  However, there are many challenges which need to be addressed in computation offloading for mobile cloud computing such as communication cost, connectivity maintenance and incurred latency.  ...  Even though the works assist in improving efficiency and performance of computation offloading in mobile cloud computing, the offloading techniques have not been directly addressed.  ... 
doi:10.1109/mobilecloud.2014.16 dblp:conf/mobilecloud/EnzaiT14 fatcat:omgll6mddjejbgtrenl5qt77se

Dynamic Offloading for Energy Harvesting Mobile Edge Computing: Architecture, Case Studies, and Future Directions

Bin Li, Zesong Fei, Jian Shen, Xiao Jiang, Xiaoxiong Zhong
2019 IEEE Access  
A dynamic offloading decision is made to execute the computation tasks. Then, we focus on the energy-efficient offloading scheme, and joint offloading and user association scheme.  ...  INDEX TERMS Mobile edge computing, energy harvesting, device-to-device (D2D) communication, computation offloading.  ...  This is because more devices are allowed to choose the energy-efficient edge cloud computing for large T to save energy.  ... 
doi:10.1109/access.2019.2922362 fatcat:pqnjxyehvzat5jey4fq3dzcdsy

Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms

Junaid Qadir
The Mobile Edge Computing (MEC) paradigm is one of the effective solutions, which brings the cloud computing services to the proximityof the edge network and leverages the available resources.  ...  However, deploying cloud computing for delay critical applications and reducing the delay in access to the resources are challenging.  ...  However, to compute the task, it requires a high amount of energy. 12) EEO-MEC The energy efficient-offloading in mobile edge computing (EEO-MEC) with edge-cloud collaboration is presented in [70] .  ... 
doi:10.6084/m9.figshare.13147607.v1 fatcat:ni77edahzfhifgqtl22o565ygi

Novel Dynamic Scaling Algorithm for Energy Efficient Cloud Computing

M. Vinoth Kumar, K. Venkatachalam, Mehedi Masud, Mohamed Abouhawwash
2022 Intelligent Automation and Soft Computing  
In this research work server clouds with edge devices and centralized cloud servers are combined to work for providing efficient energy consumption.  ...  This technique is building in NDS algorithm and computed in Edge devices for less energy consumption.  ...  Here we study about different workloads affects the energy efficiency of the cloud computing system. Security of mobile cloud is proposed in novel offloading methodology.  ... 
doi:10.32604/iasc.2022.023961 fatcat:2cyr6x2ujfbktfiqnvlfcageam

Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence

Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang
2022 IEEE Access  
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond.  ...  INDEX TERMS Mobile edge computing (MEC), network uncertainty, reinforcement learning (RL).  ...  Multiaccess edge computing is considered in the former, and autonomous IoT edge/fog/cloud computing systems are considered in the latter.  ... 
doi:10.1109/access.2022.3183647 fatcat:pd5z6q4innd5jl25g4r7b4nq3i

Implementation analysis of IoT-based offloading frameworks on cloud/edge computing for sensor generated big data

Karan Bajaj, Bhisham Sharma, Raman Singh
2021 Complex & Intelligent Systems  
Computation or data offloading tasks to nearby devices or the fog or cloud structure can aid in achieving the resource requirements of IoT applications.  ...  Various applications and services that are crucial require meeting multiple performance parameters like time-sensitivity and energy efficiency, computation offloading framework comes into play to meet  ...  Acknowledgements This work has been carried out in wireless sensor network research facility in Computer Science and Engineering department of Chitkara University, India.  ... 
doi:10.1007/s40747-021-00434-6 fatcat:q7itavmy6vhjrouldk4qbuuecu

A Context Aware Mechanism for Mobile Devices to Efficiently Acquire Resources Remotely

Kashif Tasneem, Ayesha Siddiqui, Anum Liaquat
2019 International Journal of Computer Applications  
Recent works to improve mobile device efficiency include mobile cloud computing, mobile edge computing, and device to device communication.  ...  Computational and network intensive applications cannot run efficiently on mobile devices due to their limited batteries and energy deficient systems.  ...  Offloading Computational tasks are offloaded to the host through network [7] . It is only viable if its efficient in every aspect like power consumption, network speed and mobile batteries.  ... 
doi:10.5120/ijca2019918489 fatcat:ilgdxw4krbcydcsu7umegxgf4e

Edge Cloud Offloading Algorithms: Issues, Methods, and Perspectives [article]

Jianyu Wang, Jianli Pan, Flavio Esposito, Prasad Calyam, Zhicheng Yang, Prasant Mohapatra
2018 arXiv   pre-print
To make this happen, efficient coordination mechanisms and "offloading" algorithms are needed to allow the mobile devices and the edge cloud to work together smoothly.  ...  We adopt a new characterizing model to study the whole process of offloading from mobile devices to the edge cloud.  ...  The overall goal of offloading is to achieve low latency and better energy efficiency at each step of computation offloading.  ... 
arXiv:1806.06191v1 fatcat:677dtqahtraifpczna74vwssve

Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence [article]

Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang
2022 arXiv   pre-print
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond.  ...  However, its uncertainty, referred to as dynamic and randomness, from the mobile device, wireless channel, and edge network sides, results in high-dimensional, nonconvex, nonlinear, and NP-hard optimization  ...  Multiaccess edge computing is considered in the former, and autonomous IoT edge/fog/cloud computing systems are considered in the latter.  ... 
arXiv:2201.11410v4 fatcat:24igkq4kbrb2pjzwf3mf3n7qtq
« Previous Showing results 1 — 15 out of 4,681 results