A hybrid multi-objective artificial bee colony algorithm for flexible task scheduling problems in cloud computing system

2019 ◽  
Vol 23 (4) ◽  
pp. 2483-2499 ◽  
Author(s):  
Jun-qing Li ◽  
Yun-qi Han
2015 ◽  
Vol 32 ◽  
pp. 199-210 ◽  
Author(s):  
Ying Huo ◽  
Yi Zhuang ◽  
Jingjing Gu ◽  
Siru Ni

Cloud computing is being heavily used for implementing different kinds of applications. Many of the client applications are being migrated to cloud for the reasons of cost and elasticity. Cloud computing is generally implemented on distributing computing wherein the Physical servers are heavily distributed considering both hardware and software, the connectivity among which is established through Internet. The cloud computing systems as such have many physical servers which contain many resources. The resources can be made to be shared among many users who are the tenants to the cloud computing system. The resources can be virtualized so as to provide shared resources to the clients. Scheduling is one of the most important task of a cloud computing system which is concerned with task scheduling, resource scheduling and scheduling Virtual Machin Migration. It is important to understand the issue of scheduling within a cloud computing system more in-depth so that any improvements with reference to scheduling can be investigated and implemented. For carrying in depth research, an OPEN source based cloud computing system is needed. OPEN STACK is one such OPEN source based cloud computing system that can be considered for experimenting the research findings that are related to cloud computing system. In this paper an overview on the way the Scheduling aspect per say has been implemented within OPEN STACK cloud computing system


Sign in / Sign up

Export Citation Format

Share Document