多接入边缘计算中基于分布式重叠网络缓存共享机制的计算卸载

IF 2.8 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Future Internet Pub Date : 2024-04-19 DOI:10.3390/fi16040136
Yazhi Liu, Pengfei Zhong, Zhigang Yang, Wei Li, Siwei Li
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引用次数: 0

摘要

多接入边缘计算(MEC)通过将工作负载和应用数据迁移到网络边缘,提高了用户的服务质量,降低了计算开销。然而,目前边缘场景中的任务卸载和高速缓存替换解决方案受到通信带宽、无线网络覆盖范围和边缘设备存储容量有限等因素的制约,使得实现高速缓存重用和降低系统能耗变得十分困难。为了解决这些问题,我们设计了一个利用部署在不同地理区域无线接入网中的合作边缘服务器的框架。具体来说,我们提出了分布式边缘服务缓存和卸载(DESCO)网络架构,并设计了一种基于一致散列的分散式资源共享算法,命名为 "缓存和弦"。随后,在 DESCO 的基础上,为了在保持用户延迟约束的同时最大限度地降低用户整体能耗,我们引入了实时计算卸载(RCO)问题,并将 RCO 转化为多人静态博弈,证明了纳什均衡解的存在,并使用多维粒子群优化算法对其进行求解。最后,仿真结果表明,与现有算法相比,所提出的解决方案可将 DESCO 网络的平均能耗降低 27% 以上。
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Computation Offloading Based on a Distributed Overlay Network Cache-Sharing Mechanism in Multi-Access Edge Computing
Multi-access edge computing (MEC) enhances service quality for users and reduces computational overhead by migrating workloads and application data to the network edge. However, current solutions for task offloading and cache replacement in edge scenarios are constrained by factors such as communication bandwidth, wireless network coverage, and limited storage capacity of edge devices, making it challenging to achieve high cache reuse and lower system energy consumption. To address these issues, a framework leveraging cooperative edge servers deployed in wireless access networks across different geographical regions is designed. Specifically, we propose the Distributed Edge Service Caching and Offloading (DESCO) network architecture and design a decentralized resource-sharing algorithm based on consistent hashing, named Cache Chord. Subsequently, based on DESCO and aiming to minimize overall user energy consumption while maintaining user latency constraints, we introduce the real-time computation offloading (RCO) problem and transform RCO into a multi-player static game, prove the existence of Nash equilibrium solutions, and solve it using a multi-dimensional particle swarm optimization algorithm. Finally, simulation results demonstrate that the proposed solution reduces the average energy consumption by over 27% in the DESCO network compared to existing algorithms.
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来源期刊
Future Internet
Future Internet Computer Science-Computer Networks and Communications
CiteScore
7.10
自引率
5.90%
发文量
303
审稿时长
11 weeks
期刊介绍: Future Internet is a scholarly open access journal which provides an advanced forum for science and research concerned with evolution of Internet technologies and related smart systems for “Net-Living” development. The general reference subject is therefore the evolution towards the future internet ecosystem, which is feeding a continuous, intensive, artificial transformation of the lived environment, for a widespread and significant improvement of well-being in all spheres of human life (private, public, professional). Included topics are: • advanced communications network infrastructures • evolution of internet basic services • internet of things • netted peripheral sensors • industrial internet • centralized and distributed data centers • embedded computing • cloud computing • software defined network functions and network virtualization • cloud-let and fog-computing • big data, open data and analytical tools • cyber-physical systems • network and distributed operating systems • web services • semantic structures and related software tools • artificial and augmented intelligence • augmented reality • system interoperability and flexible service composition • smart mission-critical system architectures • smart terminals and applications • pro-sumer tools for application design and development • cyber security compliance • privacy compliance • reliability compliance • dependability compliance • accountability compliance • trust compliance • technical quality of basic services.
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