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Title:
dynamic modeling of elastic caching platforms for cache strategy reconfiguration
Author: Zhang Wenbo ; Huang Xiang ; Chen Ningjiang ; Qin Xiulei ; Zhong Hua
Keyword: Computer applications ; Information systems ; Models
Source: Journal of Computational Information Systems
Issued Date: 2012
Volume: 8, Issue:22, Pages:9299-9314
Indexed Type: EI
Department: (1) Technology Center of Software Engineering Institute of Software Chinese Academy of Sciences Beijing 100190 China; (2) College of Computer Electronic and Information Guangxi University Nanning 530004 China
Abstract: Elastic caching platforms (ECPs) support various cache strategies that can largely affect the system performance, where cache strategy reconfiguration plays an important role. While traditional try-and-do approaches are not capable of making such costly decisions, performance models have some native advantages to do so. However, building performance models for ECPs is challenging, since some arguments, such as their cluster sizes, are variable according to workloads. In this paper, we propose a dynamic modeling approach for cache strategy reconfiguration of ECPs. In our study, an ECP is firstly decoupled into several aspect models that can be dynamically instantiated with their current arguments. These models, together with the application model, can be woven into different LQN (Layer Queue Network) models of the entire ECP-based system for each specific cache strategy. Then reconfiguration decisions can be made based on the predict results of these LQN models. Our experimental results have shown the effectiveness of the approach. Copyright © 2012 Binary Information Press.
English Abstract: Elastic caching platforms (ECPs) support various cache strategies that can largely affect the system performance, where cache strategy reconfiguration plays an important role. While traditional try-and-do approaches are not capable of making such costly decisions, performance models have some native advantages to do so. However, building performance models for ECPs is challenging, since some arguments, such as their cluster sizes, are variable according to workloads. In this paper, we propose a dynamic modeling approach for cache strategy reconfiguration of ECPs. In our study, an ECP is firstly decoupled into several aspect models that can be dynamically instantiated with their current arguments. These models, together with the application model, can be woven into different LQN (Layer Queue Network) models of the entire ECP-based system for each specific cache strategy. Then reconfiguration decisions can be made based on the predict results of these LQN models. Our experimental results have shown the effectiveness of the approach. Copyright © 2012 Binary Information Press.
Language: 英语
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/15419
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Zhang Wenbo,Huang Xiang,Chen Ningjiang,et al. dynamic modeling of elastic caching platforms for cache strategy reconfiguration[J]. Journal of Computational Information Systems,2012-01-01,8(22):9299-9314.
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