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ClouDiA: A Deployment Advisor for Public Clouds
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BibTeX
@MISC{Zou_cloudia:a,
author = {Tao Zou and Ronan Le Bras and Marcos Vaz Salles and Alan Demers and Johannes Gehrke},
title = {ClouDiA: A Deployment Advisor for Public Clouds},
year = {}
}
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Abstract
An increasing number of distributed data-driven applications are moving into shared public clouds. By sharing resources and operating at scale, public clouds promise higher utilization and lower costs than private clusters. To achieve high utilization, however, cloud providers inevitably allocate virtual machine instances noncontiguously, i.e., instances of a given application may end up in physically distant machines in the cloud. This allocation strategy can lead to large differences in average latency between instances. For a large class of applications, this difference can result in significant performance degradation, unless care is taken in how application components are mapped to instances. In this paper, we propose ClouDiA, a general deployment advisor that selects application node deployments minimizing either (i) the largest latency between application nodes, or (ii) the longest critical path among all application nodes. ClouDiA employs mixedinteger programming and constraint programming techniques to efficiently search the space of possible mappings of application nodes to instances. Through experiments with synthetic and real applications in Amazon EC2, we show that our techniques yield a 15 % to 55 % reduction in time-to-solution or service response time, without any need for modifying application code. 1.
Keyphrases
public cloud deployment advisor application node critical path application node deployment large difference distributed data-driven application large class real application service response time private cluster virtual machine instance application component possible mapping allocation strategy average latency distant machine significant performance degradation application code general deployment advisor amazon ec2 high utilization cloud provider
