A Trace-Driven Simulation Study of Dynamic Load Balancing
IEEE Transactions on Software Engineering
Predictability of Process Resource Usage: A Measurement-Based Study on UNIX
IEEE Transactions on Software Engineering
Utopia: a load sharing facility for large, heterogeneous distributed computer systems
Software—Practice & Experience
A worldwide flock of Condors: load sharing among workstation clusters
Future Generation Computer Systems - Special issue: resource management in distributed systems
The MOSIX multicomputer operating system for high performance cluster computing
Future Generation Computer Systems - Special issue on HPCN '97
An Empirical Investigation of Load Indices for Load Balancing Applications
Performance '87 Proceedings of the 12th IFIP WG 7.3 International Symposium on Computer Performance Modelling, Measurement and Evaluation
The Globus Project: A Status Report
HCW '98 Proceedings of the Seventh Heterogeneous Computing Workshop
Load Sharing in Distributed Systems
IEEE Transactions on Computers
Designing an Adaptive CORBA Load Balancing Service Using TAO
IEEE Distributed Systems Online
Workload capacity considering NBTI degradation in multi-core systems
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
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The growth of load balancing system raises the issue of scalability, and decentralized load balancing architecture has been proposed to address this issue. In this paper, we investigate how a load balancing architecture can be built on decentralized policies based on CORBA and enhanced by predictive algorithm. The L_2 E predictive filtering model was used to supply workstations with robust cluster load information, which allows them to make more accurate independent allocation decisions. Experimental results showed that our decentralized load balancing approach was able to suppress thrashing and oscillations compared to other load monitoring and prediction techniques, and it was able to achieve a highly balanced system than Sun Grid Engine.