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ANCS: Achieving QoS through Dynamic Allocation of Network Resources inVirtualized Clouds
- Source :
- SCIENTIFIC PROGRAMMING, Scientific Programming, Vol 2016 (2016)
- Publication Year :
- 2016
-
Abstract
- To meet the various requirements of cloud computing users, research on guaranteeing Quality of Service (QoS) is gaining widespread attention in the field of cloud computing. However, as cloud computing platforms adopt virtualization as an enabling technology, it becomes challenging to distribute system resources to each user according to the diverse requirements. Although ample research has been conducted in order to meet QoS requirements, the proposed solutions lack simultaneous support for multiple policies, degrade the aggregated throughput of network resources, and incur CPU overhead. In this paper, we propose a new mechanism, called ANCS (Advanced Network Credit Scheduler), to guarantee QoS through dynamic allocation of network resources in virtualization. To meet the various network demands of cloud users, ANCS aims to concurrently provide multiple performance policies; these include weight-based proportional sharing, minimum bandwidth reservation, and maximum bandwidth limitation. In addition, ANCS develops an efficient work-conserving scheduling method for maximizing network resource utilization. Finally, ANCS can achieve low CPU overhead via its lightweight design, which is important for practical deployment.
- Subjects :
- 020203 distributed computing
Article Subject
business.industry
Computer science
Distributed computing
Quality of service
020206 networking & telecommunications
Cloud computing
02 engineering and technology
Virtualization
computer.software_genre
Computer Science Applications
Scheduling (computing)
QA76.75-76.765
Bandwidth limitation
Bandwidth reservation
Software deployment
0202 electrical engineering, electronic engineering, information engineering
Computer software
business
computer
Software
Resource utilization
Computer network
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- SCIENTIFIC PROGRAMMING, Scientific Programming, Vol 2016 (2016)
- Accession number :
- edsair.doi.dedup.....704079fa4194e56040e30f2ce0303e80