A goal-driven auto-configuration tool for the distributed workflow management system mentorlite

Gillmann, Michael; Weißenfels, Jeanine; Shegalov, German; Roth, Olivier; Wonner, Wolfgang; Weikum, Gerhard

doi:10.1145/342009.336577

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…Although the components of these systems are distributed, their structures can not be changed dynamically. In [10], a goal-driven autoconfiguration tool is introduced. This tool aims to recommend an appropriate system configuration in terms of replicated workflow, application, and communication servers, so as to meet given goals for performance, availability, and performability at low system costs.…”

Section: Related Workmentioning

confidence: 99%

A Distributed Re-configurable Grid Workflow Engine

Cao

Wei

et al. 2006

Computational Science – ICCS 2006

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Abstract. Grid workflow, as a basic service in the grid environment, is a useful tool to help researchers make use of various gird resources to solve scientific problems. It is possible lots of users invoke grid workflow services in a very narrow time interval. Therefore, a centralized grid workflow engine is apt to be a bottleneck. In the paper, a novel grid workflow engine is proposed. It is based on Jini platform and employs Jini services to implement functions of grid workflow engine. By adding or removing enactment services, the grid workflow engine can be reconfigured dynamically. The workflow manager of the engine can allocate requests to proper enactment services according to some load-balancing strategy. The structure and mechanisms of this grid workflow engine are discussed in the paper. A prototype system and testing results are also introduced.

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Section: Related Workmentioning

confidence: 99%

A Distributed Re-configurable Grid Workflow Engine

Cao

Wei

et al. 2006

Computational Science – ICCS 2006

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A Fuzzy Rule Based Load Balancing Model for a Distributed Service Process Engine

Cao

Zhao

2008

2008 the 3rd International Conference on Grid and Pervasive Computing - Workshops

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A distributed engine with a fuzzy rule based load balancing model for service process is presented. A heuristic algorithm is employed to evaluate and then indicate the potential load of a client's request with a load tag firstly. Based on the load tag of an incoming client's request and load statuses of the engine, the controller of the service process engine allocates the request to an appropriate service according to a set of fuzzy rules. Algorithms and it's structure are discussed in detail; in addition, experiment results are provided to demonstrate the feasibility of the proposed approach.

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A goal-driven auto-configuration tool for the distributed workflow management system mentorlite

Cited by 2 publications

References 2 publications

A Distributed Re-configurable Grid Workflow Engine

A Distributed Re-configurable Grid Workflow Engine

A Fuzzy Rule Based Load Balancing Model for a Distributed Service Process Engine

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