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Examining the Challenges of Scientific Workflows
TLDR
A recent National Science Foundation workshop brought together domain, computer, and social scientists to discuss requirements of future scientific applications and the challenges they present to current workflow technologies.
Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing
TLDR
The results indicate that the current clouds need an order of magnitude in performance improvement to be useful to the scientific community, and show which improvements should be considered first to address this discrepancy between offer and demand.
Scheduling of scientific workflows in the ASKALON grid environment
TLDR
This paper evaluates three algorithms namely genetic, HEFT, and simple "myopic" and compares incremental workflow partitioning against the full-graph scheduling strategy and demonstrates that full- graph scheduling with the HEFT algorithm performs best.
A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing
TLDR
This work analyzes the performance of the Amazon EC2 platform using micro-benchmarks and kernels and indicates that the current cloud services need an order of magnitude in performance improvement to be useful to the scientific community.
ASKALON: a Grid application development and computing environment
TLDR
The ASKALON environment is centered around a set of high-level services for transparent and effective Grid access, including a Scheduler for optimized mapping of workflows onto the Grid, an Enactment Engine for reliable application execution, and a Resource Manager covering both computers and application components.
Specification of grid workflow applications with AGWL: an Abstract Grid Workflow Language
TLDR
This paper presents an abstract grid workflow language (AGWL) for describing grid workflow applications at a high level of abstraction and describes a material science workflow that has been successfully ported to a grid infrastructure based on an AGWL specification.
ASKALON: A Development and Grid Computing Environment for Scientific Workflows
TLDR
While a variety of graphical workflow composition tools are currently being proposed, none of them is based on standard modeling techniques such as Unified Modeling Language (UML).
Bi-criteria Scheduling of Scientific Workflows for the Grid
TLDR
A general bi-criteria scheduling heuristic called dynamic constraint algorithm (DCA) based on dynamic programming, dedicated to the problem model defined by us is proposed and shows relatively low scheduling times for workflows of medium size.
ASKALON: a tool set for cluster and Grid computing
TLDR
The overall architecture of the ASKALON tool set is described and the basic functionality of the four constituent tools are outlined, enabling tool interoperability and demonstrating the usefulness and effectiveness of ASKalON by applying the tools to real‐world applications.
GroudSim: An Event-Based Simulation Framework for Computational Grids and Clouds
TLDR
GroudSim provides a comprehensive set of features for complex simulation scenarios from simple job executions on leased computing resources to calculation of costs, and background load on resources.
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