標題: An SLA-aware Load Balancing Scheme for Cloud Datacenters
作者: Li, Chung-Cheng
Wang, Kuochen
資訊工程學系
Department of Computer Science
關鍵字: cloud computing;decentralized architecture;load balancing;neural network;service level agreement
公開日期: 1-一月-2014
摘要: One of the most important issues about cloud computing is how to achieve load balancing among thousands of virtual machines (VMs) in a large datacenter. In this paper, we propose a novel decentralized load balancing architecture, called tldlb (two-level decentralized load balancer). This distributed load balancer takes advantage of the decentralized architecture for providing scalability and high availability capabilities to service more cloud users. We also propose a neural network-based dynamic load balancing algorithm, called nn-dwrr (neural network-based dynamic weighted round-robin), to dispatch a large number of requests to different VMs, which are actually providing services. In nn-dwrr, we combine VM load metrics (CPU, memory, network bandwidth, and disk I/O utilizations) monitoring and neural network-based load prediction to adjust the weight of each VM. Experimental results support that our proposed load balancing algorithm, nn-dwrr, can be applied to a large cloud datacenter, and it is 1.86 times faster than the wrr, 1.49 times faster than the Capacity-based, and 1.21 times faster than the ANN-based load balancing algorithms in terms of average response time. In addition, tldlb can reduce the SLA (service-level agreement) violation rate via in-time activating VMs from a spare VM pool.
URI: http://dx.doi.org/10.1109/ICOIN.2014.6799665
http://hdl.handle.net/11536/125160
ISBN: 978-1-4799-3689-2
ISSN: 
DOI: 10.1109/ICOIN.2014.6799665
期刊: 2014 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN 2014)
起始頁: 58
結束頁: 63
顯示於類別:會議論文


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  1. 000354395000011.pdf