Flexible Load Balancing in Distributed Information Agent Systems

Gomoluch, Jacek; Schroeder, Michael

doi:10.1007/3-540-45982-0_11

Cited by 2 publications

(1 citation statement)

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“…The price-based economy, on the other hand, prices resources based on the demand, supply, and wealth in the economic system; the goal is to arrive at an equilibrium price vector where the demand equals the supply. [14] also explores the use of market mechanisms as a way of balancing the computational work load in distributed systems, where consumers and suppliers access resources and sell resources, respectively. Several protocols for the transactions between consumers and suppliers are employed.…”

Section: Related Workmentioning

confidence: 99%

Market-Based Load Balancing for Distributed Heterogeneous Multi-Resource Servers

Yang

Chen

et al. 2009

2009 15th International Conference on Parallel and Distributed Systems

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To cope with rapidly increasing Internet usage nowadays, providing Internet services using multiple servers has become a necessity. To ensure sufficient service quality and server utilization at the same time, effective methods are needed to spread load among servers properly. Existing load balancing methods often assume servers are homogeneous and consider only one type of resource, such as CPU. Such methods suffer from the fact that different requests often demand multiple types of resources with different requirements; trying to balance the usage of only one resource type may induce an inadvertent performance bottleneck, leading to low resource utilization and service quality. To address this problem, we propose a load balancing method based on the concept of distributed market mechanism, where requests are priced with respect to the load of multiple resources on each server. By migrating jobs among servers to balance inter-server load and minimize intra-server job cost at the same time, our method shows significant improvement in terms of load imbalance degrees, server utilization, and response time when compared to other published methods, especially when server heterogeneity increases.

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Section: Related Workmentioning

confidence: 99%