A Review: Scheduling Methods in Serverless Edge Computing

Aseel Thamer Ebrahem, Basil Sh. Mahmmood
{"title":"A Review: Scheduling Methods in Serverless Edge Computing","authors":"Aseel Thamer Ebrahem, Basil Sh. Mahmmood","doi":"10.47001/irjiet/2023.702005","DOIUrl":null,"url":null,"abstract":"Recently, the emergence for serverless edge computing has been an attractive topic of research community. It is a new understood in which brings computational resources proximity to edge node network which permits the computation of tasks which triggers the program carry out as a reply for assigned events. The purpose of this research is to investigate diverse methods relevant to scheduling tasks in serverless edge computing. Consequently, these methods are classified depending on their objective functions, precisely, reducing execution cost, low latency, reducing of makespan, scalability, offloading, and intelligent scheduling. The trade-off and dependency among the goals play a critical role in make decision to determine the scheduling policy efficiently. These trade-off and dependency may be led to waste of resources. This issue can be resolved by integrating among the above objectives. Serverless edge computing is predicted to have a substantial influence on the process of the scheduling. Using serverless edge computing, we can run the fine-grained requests on serverless platform by scheduler within coordination item. This allows in expanding size of the resource's utilization due to the optimal use of the scheduling process. An extension of the constrained time limit of objectives by cloud providers will permit the execution of the entire tasks, and get ridding of the rescheduling issue using a serverless edge computing mechanism.","PeriodicalId":403005,"journal":{"name":"International Research Journal of Innovations in Engineering and Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Research Journal of Innovations in Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47001/irjiet/2023.702005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Recently, the emergence for serverless edge computing has been an attractive topic of research community. It is a new understood in which brings computational resources proximity to edge node network which permits the computation of tasks which triggers the program carry out as a reply for assigned events. The purpose of this research is to investigate diverse methods relevant to scheduling tasks in serverless edge computing. Consequently, these methods are classified depending on their objective functions, precisely, reducing execution cost, low latency, reducing of makespan, scalability, offloading, and intelligent scheduling. The trade-off and dependency among the goals play a critical role in make decision to determine the scheduling policy efficiently. These trade-off and dependency may be led to waste of resources. This issue can be resolved by integrating among the above objectives. Serverless edge computing is predicted to have a substantial influence on the process of the scheduling. Using serverless edge computing, we can run the fine-grained requests on serverless platform by scheduler within coordination item. This allows in expanding size of the resource's utilization due to the optimal use of the scheduling process. An extension of the constrained time limit of objectives by cloud providers will permit the execution of the entire tasks, and get ridding of the rescheduling issue using a serverless edge computing mechanism.
无服务器边缘计算中的调度方法综述
近年来,无服务器边缘计算的出现已经成为研究社区的一个有吸引力的话题。这是一种新的理解,它将计算资源接近边缘节点网络,允许计算触发程序执行的任务,作为对指定事件的回复。本研究的目的是探讨在无服务器边缘计算中与调度任务相关的各种方法。因此,这些方法根据其目标函数进行精确分类,降低执行成本,降低延迟,减少makespan,可伸缩性,卸载和智能调度。目标之间的权衡和依赖关系是有效确定调度策略的关键。这些取舍和依赖可能导致资源的浪费。这个问题可以通过综合上述目标来解决。预计无服务器边缘计算将对调度过程产生重大影响。使用无服务器边缘计算,我们可以通过协调项内的调度器在无服务器平台上运行细粒度请求。这允许通过优化调度过程来扩展资源的利用率。云提供商对目标的约束时间限制的扩展将允许执行整个任务,并使用无服务器边缘计算机制消除重新调度问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信