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

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

doi:10.1145/335191.336577

Cited by 4 publications

(5 citation statements)

References 7 publications

(3 reference statements)

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“…In [6], stochastic processes, more specifically the first-order continuous-time Markov chains (CTMC), are employed to describe the control flow behaviors. The mean turnaround time of a workflow instance can be deduced by the transient analysis of the corresponding CTMC.…”

Section: Workload Estimation For Service Request To the Process Enginementioning

confidence: 99%

“…But it does not provide details as how to develop a re-configurable workflow engine. In [6], a goal-driven auto-configuration tool is introduced and the tool can recommend an appropriate system configuration in terms of replicated workflow, application, and communication servers, so as to meet given goals for performance, availability, and performance at low system costs. The basic idea of our service process engine system is very similar to theirs.…”

Section: Related Workmentioning

confidence: 99%

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A dynamically self-configurable service process engine

Cao

Zhao

et al. 2010

World Wide Web

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The performance of a process engine is one of the key factors that contribute to the successful deployment of systems, based on a service-oriented architecture. A novel service process engine that can be self-configured dynamically is introduced in the paper. It is based on the Jini platform, and leverages of Jini services to provide key functionalities. It automatically maintains the global performance by performing load balancing and configuring the system structure dynamically. A heuristic algorithm is applied to indicate every client's request with a workload tag after a service process model is designed. Based on workload tags of client requests and the status of available services in the engine, a controller allocates the requests to appropriate services and dynamically reconfigures the engine based on fuzzy control algorithms. Algorithms and the architecture for the engine are discussed in detail; in addition, performance experiments are performed to show the effectiveness and feasibility of the proposed approach.

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Section: Workload Estimation For Service Request To the Process Enginementioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A dynamically self-configurable service process engine

Cao

Zhao

et al. 2010

World Wide Web

View full text Add to dashboard Cite

show abstract

“…In [14], stochastic processes, more specifically the first-order continuous-time Markov chains (CTMC), are employed to describe the control flow behavior. The mean turnaround time of a workflow instance can be deduced by the transient analysis of the corresponding CTMC.…”

Section: Calculation Of Workload For Service Request To the Process Ementioning

confidence: 99%

“…But it does not provide any workload measurement of each client's request. In [14], a goal-driven auto-configuration tool is introduced and the tool is proposed 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 performance at low system costs. The basic idea of our service process engine system is very similar to theirs.…”

Section: Related Workmentioning

confidence: 99%

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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“…The proposed architecture has been fully prototyped in the latest version of our Mentor-lite distributed workflow management system [GWS+00,WGR+00]. The XML mediator itself is implemented using Oracle's XSQL servlet, run under the Apache Web application server, with a small number of very compact so-called custom XSQL action handlers.…”

Section: Contributionmentioning

confidence: 99%

XML-enabled workflow management for e-services across heterogeneous platforms

Shegalov

Gillmann²,

Weikum

2001

The VLDB Journal

Self Cite

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Advanced e-services require efficient, flexible, and easy-to-use workflow technology that integrates well with mainstream Internet technologies such as XML and Web servers. This paper discusses an XML-enabled architecture for distributed workflow management that is implemented in the latest version of our Mentor-lite prototype system. The key asset of this architecture is an XML mediator that handles the exchange of business and flow control data between workflow and business-object servers on the one hand and client activities on the other via XML messages over http. Our implementation of the mediator has made use of Oracle's XSQL servlet. The major benefit of the advocated architecture is that it provides seamless integration of client applications into eservice workflows with scalable efficiency and very little explicit coding, in contrast to an earlier, Java-based, version of our Mentor-lite prototype that required much more code and exhibited potential performance problems.

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

Cited by 4 publications

References 7 publications

A dynamically self-configurable service process engine

A dynamically self-configurable service process engine

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

XML-enabled workflow management for e-services across heterogeneous platforms

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