A Statistical Admission Control Algorithm for Storage Systems with Mixed Multimedia Workloads

Li Zhong, Wang Gang, and Liu Jing

Journal of Computer Research and Development > 2006 > 43(3): 563-570.

Li Zhong, Wang Gang, and Liu Jing. A Statistical Admission Control Algorithm for Storage Systems with Mixed Multimedia Workloads[J]. Journal of Computer Research and Development, 2006, 43(3): 563-570.

Citation:

PDF (439 KB)

A Statistical Admission Control Algorithm for Storage Systems with Mixed Multimedia Workloads

Li Zhong, Wang Gang, and Liu Jing

(College of Information Technology Science, Nankai University, Tianjin 300071)

More Information

Published Date: March 14, 2006

Graphical Abstract

Abstract

Abstract

Retrieving data from the storage systems with mixed multimedia workloads is a complex process. Different classes of multimedia applications need the storage systems to guarantee different requirements of QoS (quality of service). In order to support as many multimedia applications as possible, the storage systems need an effectual admission control algorithm. A systematic research on this problem is carried on in this paper: the QoS parameters of the multimedia applications are clearly defined, the workload model of aggregate multimedia applications is established, and the constraint condition of admission control is derived. Based on the workload model and the constraint condition, the statistical admission control algorithm is implemented. The simulation experiments show that the novel algorithm is efficient and accurate enough.
- storage system,
- mixed multimedia workloads,
- QoS (quality of service),
- admission control

FullText(HTML)

References (0)

[1]	Hu Yujing, Gao Yang, An Bo. Online Counterfactual Regret Minimization in Repeated Imperfect Information Extensive Games[J]. Journal of Computer Research and Development, 2014, 51(10): 2160-2170. DOI: 10.7544/issn1000-1239.2014.20130823
[2]	Tian Youliang, Peng Chenggen, Ma Jianfeng, Jiang Qi, Zhu Jianming. Game-Theoretic Mechanism for Cryptographic Protocol[J]. Journal of Computer Research and Development, 2014, 51(2): 344-352.
[3]	Zhu Guiming, Jin Shiyao, Guo Deke, Wei Hailiang. SOSC：A Self-Organizing Semantic Cluster Based P2P Query Routing Algorithm[J]. Journal of Computer Research and Development, 2011, 48(5): 736-745.
[4]	Cheng Bailiang, Zeng Guosun, Jie Anquan. Study of Multi-Agent Trust Coalition Based on Self-Organization Evolution[J]. Journal of Computer Research and Development, 2010, 47(8): 1382-1391.
[5]	Shi Chunqi, Shi Zhiping, Liu Xi, Shi Zhongzhi. Image Segmentation Based on Self-Organizing Dynamic Neural Network[J]. Journal of Computer Research and Development, 2009, 46(1): 23-30.
[6]	Luo Junhai and Fan Mingyu. Research on Trust Model Based on Game Theory in Mobile Ad-Hoc Networks[J]. Journal of Computer Research and Development, 2008, 45(10): 1704-1710.
[7]	Wang Wei and Zeng Guosun. Self-Organization Resource Topology Revolution Based on Trust Mechanism[J]. Journal of Computer Research and Development, 2007, 44(11): 1849-1856.
[8]	Huang Guanyao, Hong Peilin, and Li Jinsheng. P2P-VCG: A Game Theory Proposal for Bandwidth Allocation[J]. Journal of Computer Research and Development, 2007, 44(1): 78-84.
[9]	Tang Jiuyang, Zhang Weiming, Xiao Weidong, and Tang Daquan. Self-Organizing Peer-to-Peer Network Based on Community Mimicking Social Society[J]. Journal of Computer Research and Development, 2006, 43(8): 1383-1390.
[10]	Hou Yuexian, Ding Zheng, and He Pilian. Self-Organizing Isometric Embedding[J]. Journal of Computer Research and Development, 2005, 42(2): 188-195.