NDLI: On the design of decentralized control architectures for workload consolidation in large-scale server clusters

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On the design of decentralized control architectures for workload consolidation in large-scale server clusters

Content Provider	ACM Digital Library
Author	Wang, Rui Kandasamy, Nagarajan
Abstract	This paper develops a fully decentralized control architecture to address the workload consolidation problem in large-scale server clusters wherein the cluster's processing capacity is dynamically tuned to satisfy the service level agreements (SLAs) associated with the incoming workload while consolidating the workload onto the fewest number of servers. In a decentralized setting, this problem is decomposed into simpler subproblems, each of which is mapped to a server and solved by a controller assigned to that server. Though control loops on different servers run independently of each other, they are implicitly coupled via the shared high-level performance goal and interactions between controllers may result in undesired system behavior such as SLA violations and frequent switching of cores on and off. Using the proposed architecture as the reference, we analyze how the organization of individual controllers within the control structure affects its overall performance for large clusters of up to thousand servers. Our studies indicate that the control structure, when organized as a causal system in which a precedence relation exists among the individual controllers, achieves a high degree of SLA satisfaction (> 98%) while significantly reducing the corresponding switching cost.
Starting Page	115
Ending Page	124
Page Count	10
File Format	PDF
ISBN	9781450315203
DOI	10.1145/2371536.2371558
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-09-18
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Receding horizon control Workload consolidation Decentralized control Team decision theory
Content Type	Text
Resource Type	Article

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