Survey on Task Scheduling in Inter-Cloud Environment

被引：0
作者：
Tang X. [1 ]
Liu F. [1 ,2 ]
Wang B. [2 ]
Li C. [1 ]
Jiang J. [1 ]
Tang Q. [1 ]
Chen W. [3 ]
He F. [3 ]
机构：
[1] School of Computer Science and Engineering, South China University of Technology, Guangzhou
[2] Peng Cheng Laboratory, Guangdong, Shenzhen
[3] Guangdong Provincial Tax Service, State Taxation Administration, Guangzhou
来源：
Jisuanji Yanjiu yu Fazhan/Computer Research and Development | 2023年 / 60卷 / 06期
关键词：
cloud computing; federated cloud; inter-cloud; multi-cloud; task scheduling;
D O I：
10.7544/issn1000-1239.202220021
中图分类号：
学科分类号：
摘要：
As cloud computing technology advances continuously, there are a growing number of enterprises and organizations choosing the inter-cloud approach to apply on IT delivery. Inter-cloud environments can efficiently solve problems such as low resource utilization, resource limitation, and vendor lock-in in traditional single-cloud environments, and manage cloud resources in an integrated model. Due to the heterogeneity of resources in the inter-cloud environment, which will complicate the scheduling of inter-cloud tasks. Based on the current status, how to logically schedule user tasks and allocate them to the most suitable inter-cloud resources for execution has developed to be an important issue to be solved in the inter-cloud environment. From the perspective of the inter-cloud environment, we discuss the progress and future challenges of research on the task of scheduling algorithms under this environment. Firstly, combined with the characteristics of an inter-cloud environment, cloud computing is divided into federated cloud and multi-cloud environments and introduced in detail. Meanwhile, the existing task scheduling types are reviewed and their advantages and disadvantages are analyzed. Secondly, based on the classification and current research procedure, representative documents are selected to analyze the algorithms for task scheduling on inter-cloud. Finally, shortcomings in research on algorithms for task scheduling in inter-cloud and future research trends are discussed, which provide a reference for further research on inter-cloud task scheduling. © 2023 Science Press. All rights reserved.
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页码：1262 / 1275
页数：13
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