- Sponsor:
- sighpc
WORKS'14 was the ninth workshop in the WORKS series. The call for papers attracted thirteen submissions from Europe, the USA and Russia. After peer reviews by the program committee, ten of the papers were accepted, covering a variety of topics: workflows scheduling, large-scale workflows optimization, languages, enactors, and support environments.
The topics addressed in this year papers reveal a clear interest from the scientific workflow community for large-scale compute-intensive workflows: half of the workshop papers were related to workflow scheduling and scalability. The other main topic addressed was related to ease of workflows design with works targeting workflow languages and patterns as well as workflow support environments.
Proceeding Downloads
Execution time estimation for workflow scheduling
Estimation of the execution time is an important part of the workflow scheduling problem. The aim of this paper is to highlight common problems in estimating the workflow execution time and propose a solution that takes into account the complexity and ...
A performance model to estimate execution time of scientific workflows on the cloud
Scientific workflows, which capture large computational problems, may be executed on large-scale distributed systems such as Clouds. Determining the amount of resources to be provisioned for the execution of scientific workflows is a key component to ...
Sensitivity analysis for time dependent problems: optimal checkpoint-recompute HPC workflows
Sensitivity analysis (SA) is a fundamental tool of uncertainty quantification(UQ). Adjoint-based SA is the optimal approach in many large-scale applications, such as the direct numerical simulation (DNS) of combustion. However, one of the challenges of ...
Workflow management for real-time analysis of lightsource experiments
- Jack Deslippe,
- Abdelilah Essiari,
- Simon J. Patton,
- Taghrid Samak,
- Craig E. Tull,
- Alexander Hexemer,
- Dinesh Kumar,
- Dilworth Parkinson,
- Polite Stewart
The Advanced lightsource (ALS) is a X-ray synchrotron facility at Lawrence Berkeley National Laboratory. The ALS generates terabytes of raw and derived data each day and serves 1,000's of researchers each year. Only a subset of the data is analyzed due ...
A cleanup algorithm for implementing storage constraints in scientific workflow executions
Scientific workflows are often used to automate large-scale data analysis pipelines on clusters, grids, and clouds. However, because workflows can be extremely data-intensive, and are often executed on shared resources, it is critical to be able to ...
Combining workflow templates with a shared space-based execution model
- Javier Rojas Balderrama,
- Matthieu Simonin,
- Lavanya Ramakrishnan,
- Valerie Hendrix,
- Christine Morin,
- Deborah Agarwal,
- Cédric Tedeschi
The growth for scientific data has led to data analysis being a critical step in the scientific process. The next-generation scientific data analysis environment needs to address two challenges i) productivity of the end-user and ii) scalability of the ...
Increasing scientific workflow programming productivity with HyperFlow
This paper presents HyperFlow: an approach to workflow programming which combines the advantages of a declarative workflow description and low-level scripting programming. The workflow execution model of HyperFlow is based on a formal model of ...
User-oriented partial result evaluation in workflow-based science gateways
Scientific workflow management systems provide a useful layer for defining and executing applications supported by science gateways. In various optimization or simulation applications that need to run for a long time, the users may be satisfied with an ...
Workflows in a dashboard: a new generation of usability
- Sandra Gesing,
- Malcolm Atkinson,
- Rosa Filgueira,
- Ian Taylor,
- Andrew Jones,
- Vlado Stankovski,
- Chee Sun Liew,
- Alessandro Spinuso,
- Gabor Terstyanszky,
- Peter Kacsuk
In the last 20 years quite a few mature workflow engines and workflow editors have been developed to support communities in managing workflows. While there is a trend followed by the providers of workflow engines to ease the creation of workflows ...
Towards workflow ecosystems through semantic and standard representations
Workflows are increasingly used to manage and share scientific computations and methods. Workflow tools can be used to design, validate, execute and visualize scientific workflows and their execution results. Other tools manage workflow libraries or ...