Dynamic Compatibility Matching of Services for Distributed Workflow Execution

Czarnul, Paweł; Wójcik, Michał

doi:10.1007/978-3-642-31500-8_16

Cited by 2 publications

(5 citation statements)

References 5 publications

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“…When utilizing relation similarity to progressively adjust the matching degree with uncertainty of module pairs under pairwise workflows, the efficacy of MANSOR is influenced by the number of modules present in a given workflow (termed as "workflow scale"), represented by num. To assess the impact of workflow scale on MANSOR's performance, we partition the user rating dataset into subsets based on the number of modules (≤ 5, [6, 10], [11,15], [16,20], ≥ 21) and evaluate MANSOR's effectiveness under varying workflow scales. The outcomes of these experiments are depicted in Figure 6.…”

Section: Performance Analyses Wrt the Number Of Modules In One Workflowmentioning

confidence: 99%

“…The authors of Reference 19 propose that the indegree and outdegree of the module, that is, the numbers of input and output modules, can be computed as a supplement of basic attributes. Czarnul et al 20 compare services by using OWL‐S descriptions of inputs and outputs and matching scores between pairs of services representing statistically successful sequential calls. However, these approaches do not extract and incorporate the latent semantic information of neighboring modules.…”

Section: Related Workmentioning

confidence: 99%

“…The authors of Reference 19 additionally compare the numbers and types of input/output ports, but the qualities of those ports have not been utilized adequately. The strategy for selecting a suitable module in Reference 20 is based on compatibility between pairs of successive modules, while ignoring the transitivity of neighbor influence.…”

Section: Introductionmentioning

confidence: 99%

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MANSOR: A module alignment method based on neighbor information for scientific workflow

Cao

Qian

et al. 2023

Concurrency and Computation

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SummaryFinding similar scientific workflow modules that can substitute essential components of the privacy workflows from public repositories to create a personalized workflow is growing in popularity. This is a cost‐effective and error‐free strategy for the scientific community. Currently, module alignment approaches heavily depend on syntactic information such as modules' names and types. However, the contextual semantic information of modules, which encompasses inputs, outputs, and datalinks connecting modules, can also convey their functions. Unfortunately, this information is scarcely utilized during the module alignment process. In this work, we propose a module alignment method based on neighbor information for scientific workflow (MANSOR). Specifically, we present a rule‐based attribute similarity computation approach for calculating initial module‐pair similarity in two workflows. The relation similarity is then employed to iteratively fine‐tune the matching degree with uncertainty of module pairs by considering the contextual semantics until reaching a steady state. After pairwise comparison of workflows, the module alignment results are determined based on their module‐pair similarity. Experimental results on the human‐curated corpus of ratings indicate that MANSOR outperforms the existing state‐of‐the‐art approaches with statistical significance.

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Section: Performance Analyses Wrt the Number Of Modules In One Workflowmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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MANSOR: A module alignment method based on neighbor information for scientific workflow

Cao

Qian

et al. 2023

Concurrency and Computation

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“…The developed APIS platform [15], [16] is based on the JADE (Java Agent DEvelopment Framework) which is an agent development framework allowing for creating distributed multi agent systems [17]. It is one for the mostly used and recognizable agent platforms [5], [4], [3], [8], [6].…”

Section: Infrastructurementioning

confidence: 99%

“…They do not provide any means of workflows composition but can be used as underlying systems. • Decentralized agent systems with static workflow composition [5], [6]. In contrast to centralized systems, they can use autonomous agents for dynamic services selection.…”

mentioning

confidence: 99%

APIS – Agent Platform for Integration of Services

Wójcik¹,

Napieracz²,

Jędruch³

2016

Annals of Computer Science and Information Systems

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This paper presents an approach to create a platform for development and evaluation of task execution algorithms relying on services composition. Proposed solution is based on an agent paradigm where autonomous agents can cooperate and negotiate in order to execute specified tasks which are defined by input/output descriptions. Tasks are realized by the means of services exposed by different agents. In case when there is no a single service fulfilling the submitted task requirements, there is a need for an automated composition of services into one complex workflow. The platform provides ready to use communication blocks which can be easily used for algorithms development without consideration for complex conversation protocols handling. All the algorithms developed on the platform are service implementation independent and oriented on interagent communication. I. SERVICE COMPOSITION PROBLEM Position Papers of the Federated Conference on Computer Science and Information Systems pp. 247-254

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Dynamic Compatibility Matching of Services for Distributed Workflow Execution

Cited by 2 publications

References 5 publications

MANSOR: A module alignment method based on neighbor information for scientific workflow

MANSOR: A module alignment method based on neighbor information for scientific workflow

APIS – Agent Platform for Integration of Services

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