Reliability-Aware Offloading and Allocation in Multilevel Edge Computing System

• Published in: IEEE transactions on reliability Vol. 70; no. 1; pp. 200 - 211
• Main Authors: Dong, Luobing, Wu, Weili, Guo, Qiumin, Satpute, Meghana N., Znati, Taieb, Du, Ding Zhu
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: <named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> n</tex-math> </inline-formula> </named-content>-fold integer programming; Algorithms; Cloud computing; Combinatorial analysis; Component reliability; Computation offloading; Computer Science; Edge computing; Electronic devices; Energy consumption; Engineering; Integer programming; Mobile computing; Mobile edge computing (MEC); Mobile handsets; Network latency; offloading; Optimization; Reliability; Resource management; Servers; task allocation; Task analysis; User experience

Mobile edge computing system provides cloud computing capabilities at the edge of wireless mobile networks, ensuring low latency, highly efficient computing, and improved user experience. At the same time, computationally intensive components are offloaded from mobile devices to edge servers and dis...