A Space-Based Generic Pattern for Self-Initiative Load Balancing Agents

Kühn, Eva; Šešum-Čavić, Vesna

doi:10.1007/978-3-642-10203-5_3

Cited by 10 publications

(2 citation statements)

References 43 publications

(50 reference statements)

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“…SILCA follows a similar approach as introduced in [18] where a generic pattern for a load balancing framework is proposed, allowing for plugging and benchmarking different load balancing algorithms in different configurable settings and therefore easing the selection of the best algorithm for a specific problem scenario.…”

Section: Related Workmentioning

confidence: 99%

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A Space-Based Generic Pattern for Self-Initiative Load Clustering Agents

Kühn

Marek

Scheller

et al. 2012

Lecture Notes in Computer Science

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Abstract. Load clustering is an important problem in distributed systems, which proper solution can lead to a significant performance improvement. It differs from load balancing as it considers a collection of loads, instead of normal data items, where a single load can be described as a task. Current approaches that treat load clustering mainly lack of provisioning a general framework and autonomy. They are neither agentbased nor configurable for many topologies. In this paper we propose a generic framework for self-initiative load clustering agents (SILCA) that is based on autonomous agents and decentralized control. SILCA is a generic architectural pattern for load clustering. The SILCA framework is the corresponding implementation and thus supports exchangeable policies and allows for the plugging of different algorithms for load clustering. It is problem independent, so the best algorithm or combination of algorithms can be found for each specific problem. The pattern has been implemented on two levels: In its basic version different algorithms can be plugged, and in the extended version different algorithms can be combined. The flexibility is proven by means of nine algorithms. Further contributions are the benchmarking of the algorithms, and the working out of their best combinations for different topologies.

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Section: Related Workmentioning

confidence: 99%

“…The design of SILCA is based on [18], which is a generic architectural pattern for load balancing that consists of several sub-patterns that can be composed to solve different problem scenarios.…”

Section: Introductionmentioning

confidence: 99%