A Hierarchical Approach for the Resource Management of Very Large Cloud Platforms

Worldwide interest in the delivery of computing and storage capacity as a service continues to grow at a rapid pace. The complexities of such cloud computing centers require advanced resource management solutions that are capable of dynamically adapting the cloud platform while providing continuous...

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Bibliographic Details
Published in:IEEE transactions on dependable and secure computing 2013-09, Vol.10 (5), p.253-272
Main Authors: Addis, B., Ardagna, D., Panicucci, B., Squillante, M. S., Li Zhang
Format: Article
Language:English
Subjects:
Availability
Cloud computing
Computation
Cost reduction
Effectiveness studies
Information storage
Load management
Optimization
optimization of cloud configurations
Performance attributes
performance of systems
Platforms
QoS-based scheduling and load balancing
quality concepts
Quality of service
Radio spectrum management
Resource allocation
Resource management
Resources management
Servers
Storage capacity
Technology adoption
virtualized system QoS-based migration policies
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Description
Summary:Worldwide interest in the delivery of computing and storage capacity as a service continues to grow at a rapid pace. The complexities of such cloud computing centers require advanced resource management solutions that are capable of dynamically adapting the cloud platform while providing continuous service and performance guarantees. The goal of this paper is to devise resource allocation policies for virtualized cloud environments that satisfy performance and availability guarantees and minimize energy costs in very large cloud service centers. We present a scalable distributed hierarchical framework based on a mixed-integer nonlinear optimization of resource management acting at multiple timescales. Extensive experiments across a wide variety of configurations demonstrate the efficiency and effectiveness of our approach.
ISSN:1545-5971
1941-0018
DOI:10.1109/TDSC.2013.4