The Eucalyptus Open-Source Cloud-Computing System

2009 ◽  
Author(s):  
Daniel Nurmi ◽  
Rich Wolski ◽  
Chris Grzegorczyk ◽  
Graziano Obertelli ◽  
Sunil Soman ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Open Source ◽  
Computing System ◽  
Cloud Computing System

scholarly journals Scheduling under Open stack – The Current State and Future Enhancements

2019 ◽  
Vol 8 (2) ◽  
pp. 375-382
Keyword(s):  
Cloud Computing ◽  
Open Source ◽  
Task Scheduling ◽  
Computing System ◽  
Important Task ◽  
Shared Resources ◽  
Computing Systems ◽  
Current State ◽  
Cloud Computing System ◽  
Research Findings

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

Cloud Computing: System Instances and Current Research

2010 ◽  
Vol 20 (5) ◽  
pp. 1337-1348 ◽  
Author(s):  
Kang CHEN ◽  
Wei-Min ZHENG
Keyword(s):  
Cloud Computing ◽  
Computing System ◽  
Cloud Computing System
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