Paper Info
Title
A load balancing framework for clustered storage systems
Abstract
The load balancing framework for high-performance clustered storagesystems presented in this paper provides a general method for reconfiguringa system facing dynamic workload changes. It simultaneously balances load andminimizes the cost of reconfiguration. It can be used for automatic reconfigurationor to present an administrator with a range of (near) optimal reconfigurationoptions, allowing a tradeoff between load distribution and reconfiguration cost.The framework supports a wide range of measures for load imbalance and reconfigurationcost, as well as several optimization techniques. The effectivenessof this framework is demonstrated by balancing the workload on a NetApp DataONTAP GX system, a commercial scale-out clustered NFS server implementation.The evaluation scenario considers consolidating two real world systems,with hundreds of users each: a six-node clustered storage system supporting engineeringworkloads and a legacy system supporting three email severs.
Year
DOI
Venue
2008
10.1007/978-3-540-89894-8_9
HiPC
Keywords
Field
DocType
dynamic workload change,real world system,storage system,load imbalance,load distribution,reconfiguration cost,reconfiguringa system,netapp dataontap gx system,wide range,legacy system,blas,multicore,cache coherency,load balance
Computer science,Load balancing (computing),Workload,Parallel computing,Round-robin DNS,Greedy algorithm,Multi-core processor,Legacy system,Control reconfiguration,Distributed computing,Cache coherence
Conference
Volume
ISSN
Citations 
5374
0302-9743
12
PageRank 
References 
Authors
0.63
14
2
Name
Order
Citations
PageRank
Daniel Kunkle1627.12
Jiri Schindler241126.82