Journal ArticleDOI
Energy-Saving Computation Offloading by Joint Data Compression and Resource Allocation for Mobile-Edge Computing
Ding Xu,Qun Li,Hongbo Zhu +2 more
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TLDR
This paper transforms the non-convex problem into a convex one and applies convex optimization to solve the problem of jointly optimizing computation offloading, data compression and resource allocation under the latency constraint and finite MEC computation capacity.Abstract:
In this letter, we consider a multiuser mobile-edge computing (MEC) system with latency constraint. In order to meet the latency requirement and save energy consumption, each user can partially offload the task to the MEC server for edge computing. Data compression is applied to compress the offloaded data before transmission to reduce the data size. The problem of jointly optimizing computation offloading, data compression and resource allocation to minimize energy consumption under the latency constraint and finite MEC computation capacity is considered. We transform the non-convex problem into a convex one and apply convex optimization to solve it. The simulation results demonstrate that our proposed scheme significantly outperforms the benchmark schemes.read more
Citations
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Journal ArticleDOI
Profit-Maximized Collaborative Computation Offloading and Resource Allocation in Distributed Cloud and Edge Computing Systems
Haitao Yuan,MengChu Zhou +1 more
TL;DR: A novel algorithm is proposed to maximize the profit of distributed cloud and edge computing systems while meeting response time limits of tasks and realizes a larger profit than several typical offloading strategies.
Journal ArticleDOI
Latency‐minimum offloading decision and resource allocation for fog‐enabled Internet of Things networks
Qian Wang,Siguang Chen +1 more
TL;DR: This article forms a joint optimization problem of the offloading decision, the local computation capability, and the computing resource allocation of fog node to minimize the task completion time with energy constraint, in which practically considers M/M/1 waiting queues in the wireless channel and fog node.
Journal ArticleDOI
A mobile data offloading framework based on a combination of blockchain and virtual voting
TL;DR: A directed acyclic graph‐enabled mobile offloading (DAGMO) algorithm is proposed that is empowered by traditional blockchain features and provides additional advantages to overcome the fundamental limitations of generic blockchain.
Journal ArticleDOI
Computation Efficiency Maximization in OFDMA-Based Mobile Edge Computing Networks
TL;DR: In this letter, weighted sum computation efficiency (CE) maximization problems are formulated in a mobile edge computing (MEC) network with orthogonal frequency division multiple access (OFDMA).
Journal ArticleDOI
A joint optimization scheme for task offloading and resource allocation based on edge computing in 5G communication networks
TL;DR: The experimental results show that the joint optimization scheme for task offloading and resource allocation based on edge computing in 5G communication networks can effectively reduce the time delay and energy consumption of terminal tasks, which improves the efficiency of task processing and the experience quality of end users.
References
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Book
Digital Communication over Fading Channels
TL;DR: The book gives many numerical illustrations expressed in large collections of system performance curves, allowing the researchers or system designers to perform trade-off studies of the average bit error rate and symbol error rate.
Journal ArticleDOI
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
Pavel Mach,Zdenek Becvar +1 more
TL;DR: This paper describes major use cases and reference scenarios where the mobile edge computing (MEC) is applicable and surveys existing concepts integrating MEC functionalities to the mobile networks and discusses current advancement in standardization of the MEC.
Journal ArticleDOI
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
Pavel Mach,Zdenek Becvar +1 more
TL;DR: In this paper, the authors present a survey of the research on computation offloading in mobile edge computing (MEC), focusing on user-oriented use cases and reference scenarios where the MEC is applicable.
Book
Data Compression: The Complete Reference
TL;DR: Detailed descriptions and explanations of the most well-known and frequently used compression methods are covered in a self-contained fashion, with an accessible style and technical level for specialists and nonspecialists.
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