Developing scientific workflows from heterogeneous services

Tsalgatidou, Aphrodite; Athanasopoulos, George; Pantazoglou, Michael; Pautasso, Cesare; Heinis, Thomas; Grønmo, Roy; Hoff, Hjørdis; Berre, Arne-Jørgen; Glittum, M.; Topouzidou, Simela

doi:10.1145/1147376.1147380

Cited by 44 publications

(32 citation statements)

References 9 publications

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“…The workflow performance influences the service quality and response time to user requests. Adopting workflow systems that allow flexible allocation, automated execution and cloud computing task management leads to improvements in cloud service [9,10]. The benefits of WfMS for cloud computing may be grouped on two hierarchic levels [11]: abovethe-cloud and in-the-cloud.…”

Section: Cloud Computing and Workflow Management Systemsmentioning

confidence: 99%

Combining Cloud-based Workflow Management System with SOA and CEP to Create Agility in Collaborative Environment

Stoica¹,

Mircea²,

Ghilic-Micu³

2017

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Section: Cloud Computing and Workflow Management Systemsmentioning

confidence: 99%

Combining Cloud-based Workflow Management System with SOA and CEP to Create Agility in Collaborative Environment

Stoica¹,

Mircea²,

Ghilic-Micu³

2017

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“…SODIUM [25] (Service Oriented Development In a Unified FraMework) is a platform which provides a set of languages, tools, and corresponding middleware, for modeling and executing scientific workflows composed of heterogeneous services. The system is implemented as Service-oriented architecture and the main objective is to provide seamless access to different types of services such as Web services, Grid Services and P2P services.…”

Section: Related Workmentioning

confidence: 99%

Scalable Scientific Workflows Management System SWFMS

Rahman¹

2016

ijacsa

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Abstract-In today"s electronic world conducting scientific experiments, especially in natural sciences domain, has become more and more challenging for domain scientists since "science" today has turned out to be more complex due to the two dimensional intricacy; one: assorted as well as complex computational (analytical) applications and two: increasingly large volume as well as heterogeneity of scientific data products processed by these applications. Furthermore, the involvement of increasingly large number of scientific instruments such as sensors and machines makes the scientific data management even more challenging since the data generated from such type of instruments are highly complex. To reduce the amount of complexities in conducting scientific experiments as much as possible, an integrated framework that transparently implements the conceptual separation between both the dimensions is direly needed. In order to facilitate scientific experiments "workflow" technology has in recent years emerged in scientific disciplines like biology, bioinformatics, geology, environmental science, and eco-informatics. Much more research work has been done to develop the scientific workflow systems. However, our analysis over these existing systems shows that they lack a well-structured conceptual modeling methodology to deal with the two complex dimensions in a transparent manner. This paper presents a scientific workflow framework that properly addresses these two dimensional complexities in a proper manner.

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“…The SODIUM [12] and OPUCE [13] projects consist of a set of languages and tools as well as related middleware, for the creation and execution of workflows composed of heterogeneous services. The MoSCA [14] middleware facilitates the development and deployment of workflows and provides for at runtime selection of the service providers that are capable of collectively delivering the composite service with the highest reliability.…”

Section: Related Workmentioning

confidence: 99%

Design of a Framework for Automated Service Mashup Creation and Execution Based on Semantic Reasoning

Hristoskova

Volckaert

Turck

et al. 2010

2010 Fifth International Conference on Internet and Web Applications and Services

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Abstract-Instead of building self-contained silos, applications are being broken down in independent structures able to offer a scoped service using open communication standards and encoding. Nowadays there is no automatic environment for the construction of new mashups from these reusable services. At the same time the designer of the mashup needs to establish the actual locations for deployment of the different components.This paper introduces the development of a framework focusing on the dynamic creation and execution of service mashups. By enriching the available building blocks with semantic descriptions, new service mashups are automatically composed through the use of planning algorithms. The composed mashups are automatically deployed on the available resources making optimal use of bandwidth, storage and computing power of the network and server elements. The system is extended with dynamic recovery from resource and network failures. This enrichment of business components and services with semantics, reasoning, and distributed deployment is demonstrated by means of an e-shop use case.

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Developing scientific workflows from heterogeneous services

Cited by 44 publications

References 9 publications

Combining Cloud-based Workflow Management System with SOA and CEP to Create Agility in Collaborative Environment

Combining Cloud-based Workflow Management System with SOA and CEP to Create Agility in Collaborative Environment

Scalable Scientific Workflows Management System SWFMS

Design of a Framework for Automated Service Mashup Creation and Execution Based on Semantic Reasoning

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