A dynamic load balancing policy with a central job dispatcher (LBC)

A dynamic load balancing policy with a central job dispatcher, called the LBC policy, is proposed for distributed systems. The design of this policy is motivated by the operation of a single-queue-multi-server queuing system. The average job response time of this policy is the same as that of a single-queue-multi-server system which is the best achievable performance when the communication delay is reduced to zero. Hence, this policy is expected to provide near minimum average job response time for distributed systems with high-speed communication subnets. The performance of this policy is studied for systems with non-negligible job transfer delays in the following three aspects: average job response time, overhead due to information exchanges, and sensitivity to heterogeneous load.<<ETX>>

[1]  Jacob A. Abraham,et al.  Load Balancing in Distributed Systems , 1982, IEEE Transactions on Software Engineering.

[2]  Philip Heidelberger,et al.  A spectral method for confidence interval generation and run length control in simulations , 1981, CACM.

[3]  John A. Stankovic,et al.  Simulations of Three Adaptive, Decentralized Controlled, Job Scheduling Algorithms , 1984, Comput. Networks.

[4]  Donald F. Towsley,et al.  Imbedding gradient estimators in load balancing algorithms , 1988, [1988] Proceedings. The 8th International Conference on Distributed.

[5]  Miron Livny,et al.  Load balancing in homogeneous broadcast distributed systems , 1982, SIGMETRICS 1982.

[6]  Donald F. Towsley,et al.  Analysis of the Effects of Delays on Load Sharing , 1989, IEEE Trans. Computers.

[7]  Edward D. Lazowska,et al.  Adaptive load sharing in homogeneous distributed systems , 1986, IEEE Transactions on Software Engineering.

[8]  Phillip Krueger,et al.  Two adaptive location policies for global scheduling algorithms , 1990, Proceedings.,10th International Conference on Distributed Computing Systems.

[9]  Anders Svensson.  History, an intelligent load sharing filter , 1990, Proceedings.,10th International Conference on Distributed Computing Systems.

[10]  Chong-Wei Xu,et al.  A Distributed Drafting Algorithm for Load Balancing , 1985, IEEE Transactions on Software Engineering.

[11]  Kemal Efe,et al.  Minimizing control overheads in adaptive load sharing , 1989, [1989] Proceedings. The 9th International Conference on Distributed Computing Systems.

[12]  Mario Gerla,et al.  Load Balancing in Distributed Systems with Multiple Classes and Site Constraints , 1984, International Symposium on Computer Modeling, Measurement and Evaluation.

[13]  Edward D. Lazowska,et al.  A Comparison of Receiver-Initiated and Sender-Initiated Adaptive Load Sharing , 1986, Perform. Evaluation.

[14]  Asser N. Tantawi,et al.  Optimal static load balancing in distributed computer systems , 1985, JACM.

[15]  Robert M. Keller,et al.  The Gradient Model Load Balancing Method , 1987, IEEE Transactions on Software Engineering.

[16]  Anurag Kumar,et al.  Adaptive Optimal Load Balancing in a Nonhomogeneous Multiserver System with a Central Job Scheduler , 1990, IEEE Trans. Computers.

[17]  Songnian Zhou.  A Trace-Driven Simulation Study of Dynamic Load Balancing , 1988, IEEE Trans. Software Eng..

[18]  Asser N. Tantawi,et al.  A General Model for Optimal Static Load Balancing in Star Network Configurations , 1984, Performance.

[19]  Marvin Theimer,et al.  Finding Idle Machines in a Workstation-Based Distributed System , 1989, IEEE Trans. Software Eng..

[20]  Jane W.-S. Liu,et al.  Dynamic Load Balancing Algorithms in Homogeneous Distributed Systems , 1986, IEEE International Conference on Distributed Computing Systems.

[21]  Robert S. Swarz,et al.  The theory and practice of reliable system design , 1982 .

[22]  Tze-Hore Howard Liu,et al.  Dynamic load balancing in distributed heterogeneous computer systems , 1988 .

[23]  P. R. Kumar,et al.  Optimal control of a queueing system with two heterogeneous servers , 1984 .