A Novel Predictive Approach to Trajectory-aware Online Service Allocation in Mobile Edge Environment-Reference-Cited by-同舟云学术

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A Novel Predictive Approach to Trajectory-aware Online Service Allocation in Mobile Edge Environment

Published:2021-10-17 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Shuai Bin¹,Chen Peng²,Chen Wei³,Xia Yunni¹,Jiang Ning⁴,Zhong Xingli⁵

Affiliation:

1. Chongqing University,school of computers,Chongqing,China,400030

2. Xihua University,school of Computer and Software Engineering,Chengdu,China,610039

3. SocialCredits, Inc.,Chongqing,China,400021

4. Mashang Consumer Finance Co., Ltd. (MSCF),Chongqing,China,400022

5. CISDI R & D co. Ltd,Chongqing,China,400025

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9658572/9658575/09659290.pdf?arnumber=9659290

Reference24 articles.

1. Distributed Resource Allocation in Blockchain-Based Video Streaming Systems With Mobile Edge Computing

2. A Decentralized Collaborative Approach to Online Edge User Allocation in Edge Computing Environments

3. Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing

4. Computation offloading in multi-access edge computing: A multi-task learning approach;yang;IEEE Transactions on Mobile Computing,2020

5. Dynamic Task Offloading and Resource Allocation for Mobile-Edge Computing in Dense Cloud RAN

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