NDLI: An SLA-Driven Cache Optimization Approach for Multi-tenant Application on PaaS

Content Provider	IEEE Xplore Digital Library
Author	Huihong He Zhiyi Ma Hongjie Chen Dan Wu Huanhuan Liu Weizhong Shao
Copyright Year	2014
Description	Author affiliation: Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China (Huihong He; Zhiyi Ma; Hongjie Chen; Dan Wu; Huanhuan Liu; Weizhong Shao)
Abstract	As multi-tenant applications spring up in clouds, more and more people advocate using Service Level Agreement (SLA) in service delivery to fit tenants' non-functional needs e.g. Response time and budget limit. However, most of the present application optimizations based on SLA focuses on virtual machine-based (VM-based) computing service, while other services such as storage and cache are often neglected. In this paper, we propose an SLA-driven application optimization for cache service to help to meet tenants' needs better and improve cost-effectiveness, which can be taken as complementary to the existing work. The proposed approach, built on top of Platform-as-a-Service (PaaS), pays attention to evicted data. It considers both tenant SLA-evaluated status and data performance when weighting the evicted data with re-cache likelihoods, and then adjusts their re-cache priorities. At the beginning of every cycle it predicts tenant status and evicted data performance for the coming cycle by Holt-Winters double exponential smoothing. Our simulation experiments demonstrate the optimization effectiveness in improving cache cost-effectiveness and satisfying tenant SLAs.
Sponsorship	IEEE Comput. Soc.
Starting Page	139
Ending Page	148
File Size	471702
Page Count	10
File Format	PDF
ISBN	9781479935758
ISSN	07303157
DOI	10.1109/COMPSAC.2014.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-21
Publisher Place	Sweden
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization Time factors Resource management Market research Smoothing methods Data models Databases Platform-as-a-Service (PaaS) Service Level Agreement (SLA) cache prediction probabilistic caching multi-tenancy
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Software

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