Breakout Local Search Solution to the Offloading Decision Problem in a Multi-Access Edge Computing Cloud-Enabled Network

IF 5.4 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Mina Kato;Tiago Koketsu Rodrigues;Nei Kato
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引用次数: 0

Abstract

Cloud offloading is an important technique for Internet of Things systems, as it allows devices with limited capabilities to access the powerful resources in the cloud when executing their applications. However, relying solely on the remote cloud is problematic, as the long access time from the far distance to the server makes real-time applications impossible to be executed. Multi-access edge computing addresses this by deploying cloud servers near the devices. The issue then becomes how to allocate devices between either remote cloud and multi-access edge computing, based on the device requirements. In this paper, we propose a Breakout Local Search-based solution that, given our designed binary integer linear programming model of the offloading problem, finds a near-optimal configuration for allocating devices between the two cloud types. The proposal is based on iterating between exploiting the local optimum found so far and perturbation of the current solution to explore more the search space. A comparison study shows that our proposal is better than baseline and conventional algorithms, speeding up the total service delay of tasks by at least 30 ms.
多接入边缘计算云网络卸载决策问题的突破局部搜索解决方案
云卸载是物联网系统的一项重要技术,因为它允许功能有限的设备在执行其应用程序时访问云中的强大资源。然而,仅仅依赖远程云是有问题的,因为从远距离到服务器的访问时间很长,使得实时应用程序无法执行。多访问边缘计算通过在设备附近部署云服务器来解决这个问题。接下来的问题就变成了如何根据设备需求在远程云和多访问边缘计算之间分配设备。在本文中,我们提出了一个基于突破局部搜索的解决方案,给定我们设计的卸载问题的二进制整数线性规划模型,找到在两种云类型之间分配设备的近乎最佳配置。该方法基于利用已找到的局部最优解和扰动当前解之间的迭代,以探索更大的搜索空间。对比研究表明,该算法优于基准算法和传统算法,可将任务的总服务延迟提高至少30 ms。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Emerging Topics in Computing
IEEE Transactions on Emerging Topics in Computing Computer Science-Computer Science (miscellaneous)
CiteScore
12.10
自引率
5.10%
发文量
113
期刊介绍: IEEE Transactions on Emerging Topics in Computing publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT.
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