Dynamic workflow composition using Markov decision processes

Doshi, Prashant; Goodwin, Richard; Akkiraju, Rama; Verma, Kunal

doi:10.1109/icws.2004.1314784

Cited by 86 publications

(82 citation statements)

References 2 publications

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“…A number of solutions have been proposed for the problem of dynamic, runtime QoS-aware service selection and composition within SOA [46][47][48][49]. These (proactive) solutions aim to adapt the service composition dynamically at runtime.…”

Section: Literature and Related Workmentioning

confidence: 99%

Traffic Management for Cloud Federation

Burakowski

Bęben

Berg

et al. 2018

Lecture Notes in Computer Science

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Abstract. The chapter summarizes activities of COST IC1304 ACROSS European Project corresponding to traffic management for Cloud Federation (CF). In particular, we provide a survey of CF architectures and standardization activities. We present comprehensive multilevel model for traffic management in CF that consists of five levels: Level 5 -Strategies for building CF, Level 4 -Network for CF, Level 3 -Service specification and provision, Level 2 -Service composition and orchestration, and Level 1 -Task service in cloud resources. For each level we propose specific methods and algorithms. The effectiveness of these solutions were verified by simulation and analytical methods. Finally, we also describe specialized simulator for testing CF solution in IoT environment.

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Section: Literature and Related Workmentioning

confidence: 99%

Traffic Management for Cloud Federation

Burakowski

Bęben

Berg

et al. 2018

Lecture Notes in Computer Science

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“…In this phase, we employ MDP concept to model the process of service composition as it can enable to model service composition in dynamic environments as a series of steps showing stochastic nature [5,7]. We employed MDP concept in our approach to model the service composition process.…”

Section: Phase 1: Modeling the Service Composition Processmentioning

confidence: 99%

Towards Proactive Web Service Adaptation

Moustafa

Zhang

2012

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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Abstract. With the rapid development of web service technology, next generations of web service applications need to be able to predict problems, such as potential degradation scenarios, future erroneous behaviors and deviations from expected behaviors, and move towards resolving those problems not just reactively, but even proactively, i.e., before the problems occur. Service oriented applications are thus driven by the requirements that bring the concepts of decentralization, dynamism, adaptation, and automation to an extreme. In this paper, an approach is proposed that depends mainly on the concept of proactive adaptation by the use of reinforcement learning to achieve an autonomous dynamic behavior of web service composition considering potential degradation and emergence in QoS values. Experimental results show the effectiveness of the proposed approach in dynamic web service composition environments.

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“…Tentative techniques to address this problem are experimented using many formalisms and techniques, among which Situation calculus [15], Logic programming [16], Type matching: [17], Coloured Petri nets: [6,7], Linear logic: [18], Process solving methods [19,20,21], AI Planning [22], Hierarchical Task Network (HTN) planning [23,24], Markov decision processes [25].…”

Section: Related Workmentioning

confidence: 99%

A Constrained Object Model for Configuration Based Workflow Composition

Albert¹,

Henocque²,

Kleiner³

2006

Business Process Management Workshops

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Abstract. Automatic or assisted workflow composition is a field of intense research for applications to the world wide web or to business process modeling. Workflow composition is traditionally addressed in various ways, generally via theorem proving techniques. Recent research [1] observed that building a composite workflow bears strong relationships with finite model search, and that some workflow languages can be defined as constrained object metamodels [2,3]. This lead to consider the viability of applying configuration techniques to this problem, which was proven feasible. Constrained based configuration expects a constrained object model as input. The purpose of this document is to formally specify the constrained object model involved in ongoing experiments and research using the Z specification language, and more precisely using some of the definitions in [4].

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Dynamic workflow composition using Markov decision processes

Cited by 86 publications

References 2 publications

Traffic Management for Cloud Federation

Traffic Management for Cloud Federation

Towards Proactive Web Service Adaptation

A Constrained Object Model for Configuration Based Workflow Composition

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