Conventional Workflow Technology for Scientific Simulation

Görlach, Katharina; Sonntag, Mirko; Karastoyanova, Dimka; Leymann, Frank; Reiter, Michael K.

doi:10.1007/978-0-85729-439-5_12

Cited by 47 publications

(37 citation statements)

References 22 publications

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“…This information is passed to the analyser (5). The analysis outcome is passed to the planner (6), which generates a deployment plan (7). The deployer transmits the partitions to remote engines (8).…”

Section: Execution Engine's Internal Modulesmentioning

confidence: 99%

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Towards an autonomous decentralized orchestration system

Jaradat

Dearle

Barker

2015

Concurrency and Computation

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SUMMARYOrchestrating workflows needed for modern scientific data analysis presents a significant research challenge: they are typically executed in a centralised manner such that all data pass through a single compute server known as the engine, which causes unnecessary network traffic that leads to a performance bottleneck. This paper presents a scalable decentralised orchestration system that relies on a functional, high-level data coordination language for executing workflows. This system consists of distributed execution engines, each of which is responsible for executing part of the overall workflow. It exploits parallelism in the workflow by partitioning it into smaller sub workflows, and determines the most appropriate engines to execute them using network resource monitoring and placement analysis. This permits the computation logic of the workflow to be moved towards the services providing the data, which improves the overall execution time. The system supports data-driven execution that allows each sub workflow to be executed as soon as the data needed for its execution becomes available from other sources. Therefore, a scheduling mechanism is not required to manage the order in which the sub workflows are orchestrated. This paper provides an evaluation of the proposed system, which demonstrate that decentralised orchestration provides scalability over centralised orchestration.

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Section: Execution Engine's Internal Modulesmentioning

confidence: 99%

“…Many researchers have studied the design and orchestration of workflows [6,7,8]. Typically, workflows are designed by composing services together using a workflow language such as Business Process Execution Language (BPEL) [9], and orchestrated using a centralised compute server known as the execution engine.…”

Section: Introductionmentioning

confidence: 99%

Towards an autonomous decentralized orchestration system

Jaradat

Dearle

Barker

2015

Concurrency and Computation

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“…Existing workflow systems [3,5] require the user to compose workflows, usually in a drag-and-drop or textual manner, or with some kind of aid of a verification tool. The Fish4Knowledge workflow system can automatically compose video processing workflows using domain knowledge and heuristics-based selection of steps in a planning-based manner [11].…”

Section: Related Workmentioning

confidence: 99%

A video processing and data retrieval framework for fish population monitoring

Beauxis-Aussalet

Palazzo

Nadarajan

et al. 2013

Proceedings of the 2nd ACM International Workshop on Multimedia Analysis for Ecological Data

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In this work we present a framework for fish population monitoring through the analysis of underwater videos. We specifically focus on the user information needs, and on the dynamic data extraction and retrieval mechanisms that support them. Sophisticated though a software tool may be, it is ultimately important that its interface satisfies users' actual needs and that users can easily focus on the specific data of interest. In the case of fish population monitoring, marine biologists have to interact with a system which not only provides information from a biological point of view, but also offers instruments to let them guide the video processing task for both video and algorithm selection. This paper aims at describing the system's underlying video processing and workflow low-level details, and their connection to the user interface for on-demand data retrieval by biologists.

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“…Görlach et al [6]. This allows to use and to develop individual solution strategies for each sub-model as well as the independent development of both model parts.…”

Section: Numerical Implementationmentioning

confidence: 99%

Bone remodelling: A combined biomechanical and systems‐biological challenge

Krause

Schittler

Reiter

et al. 2011

Proc Appl Math and Mech

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Bone tissues are formed by cells, bone matrix and fluids. The bone matrix is a porous structure, which is remodelled by bone-cells. To describe this process, a coupled systems-biological and biomechanical model is presented.The macroscopic mechanical behaviour of bone is specified by a biphasic model embedded in the Theory of Porous Media, where the solid phase represents cells and bone matrix, and the fluid phase summarises the extracellular fluids and its components. In this context, the bone remodelling process is described on the macro-scale by a distinct mass exchange that also results in a change of the constituents' material properties.On the micro-scale, the description of the bone remodelling process stems from a systems-biological cell interaction model. Therein, the bone matrix formation and resorption are a result of the stress-regulated activity of cells.Here, a staggered solutions strategy is presented. Therein, snapshots of the mechanical stress distribution are calculated on the macro-scale by use of the finite element method. The snapshots are locally evaluated on the micro-scale by use of a cell interaction model, which calculates the long term remodelling process. The evaluation results of the micro-scale are then used to update the reference configuration of the mechanical simulation. As an integrative modelling platform scientific workflows and web-service technologies are employed.

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Conventional Workflow Technology for Scientific Simulation

Cited by 47 publications

References 22 publications

Towards an autonomous decentralized orchestration system

Towards an autonomous decentralized orchestration system

A video processing and data retrieval framework for fish population monitoring

Bone remodelling: A combined biomechanical and systems‐biological challenge

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