Simplifying construction of complex workflows for non-expert users of the Southern California Earthquake Center Community Modeling Environment

Maechling, P. J.; Chalupsky, Hans; Dougherty, Maureen; Deelman, Ewa; Gil, Yolanda; Gullapalli, Sridhar; Gupta, Vinay K.; Kesselman, Carl; Kim, Jihic; Mehta, Gaurang; Mendenhall, Brian; Russ, Thomas A.; Singh, Gurmeet; Spraragen, Marc; Staples, Garrick; Vahi, Karan

doi:10.1145/1084805.1084811

Cited by 43 publications

(24 citation statements)

References 16 publications

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“…With this context, the tools become much more helpful in checking that the process model makes sense within the background knowledge that it has. As indicated by our studies of process models that are authored by end users Blythe 2003, Pool et al, 2003;Maechling et al, 2005], checks made by CAT and KANAL seem useful for helping end users. In particular, consistency checks on failed conditions and inconsistent links, and completeness checks on unnecessary ordering and unsatisfied parameters seem to cover many user errors.…”

Section: Underlying Principles In Cat and Kanalmentioning

confidence: 84%

“…CAT has been integrated into an end-to-end SCEC (Southern California Earthquake Science) grid workflow execution system where users can create workflow templates, specify data files using metadata catalog service, refine the workflows to executable forms and use a grid environment to execute workflows against domain specific software libraries and data sources [Maechling et al, 2005;Gil et al 2007].…”

Section: Example Validations Made By Catmentioning

confidence: 99%

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Principles for interactive acquisition and validation of workflows

Kim

Gil

Spraragen

2010

Journal of Experimental & Theoretical Artificial Intelligen

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Workflows, also known as process models, are essential in many science and engineering fields. Workflows express compositions of individual steps or tasks that assembled together account for various aspects of an overall process. When workflows include dozens of components and many links among them, the creation of valid workflows becomes challenging since users have to track many interdependencies and constraints. This paper describes principles for assisting users to create valid workflows that are based on two knowledge acquisition systems that we have developed. A shared goal in these projects was to enable end users who do not have computer science backgrounds, such as biologists, military officers, or engineers, to create valid end-to-end process models or workflows. Our approach exploits knowledge-rich descriptions of the individual components and their constraints in order to validate the composition, and uses artificial intelligence planning techniques in order to systematically verify formal properties of valid workflows. Both systems analyze partial workflows created by the user, determine whether they are consistent with the background knowledge that the system has, notifies the user of issues to be resolved in the current workflow, and suggests to the user what actions could be taken to correct those issues.2

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Section: Underlying Principles In Cat and Kanalmentioning

confidence: 84%

Section: Example Validations Made By Catmentioning

confidence: 99%

Principles for interactive acquisition and validation of workflows

Kim

Gil

Spraragen

2010

Journal of Experimental & Theoretical Artificial Intelligen

Self Cite

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“…when the search going into a certain extent, the solution of all individual ants are basically as the same, but has been unable to obtain the optimal solution stagnation from bigger range, that is to say it is unable to find the global optimal solution, it may appear unbalanced phenomenon of load. Node resources overload easily result in cloud computing task scheduling bottlenecks, which effects of task minimum completion time; node resources under-load, the resources can not be fully utilized [8,9]. In swarm intelligence optimization algorithms, there are PSO (Particle Swarm Optimization) algorithm [10], but PSO algorithm is is difficult to understand,comparing with ACO algorithm, meanwhile the algorithm is needed to encode for a large number of particles, so it requires larger work for the resource node and task particles [11,12].…”

Section: Testing Task Partition and Allocation On Cbdstpmentioning

confidence: 99%

Research on Distributed Software Testing Platform Based on Cloud Resource

Shi¹,

Zhao²,

Huang³

et al. 2013

IJCSES

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“…This phenomenon has led to the emergence of a whole new range of applications capable of performing tasks of a complexity not envisioned before. For instance, several scientific workfolk applications [24], [25], [27] involve the orchestration of multiple compute and data transfer stages. These stages normally have strong dependency on completion times; thus the ability to co-schedule and synchronize resources usage is crucial.…”

Section: Introductionmentioning

confidence: 99%

Efficient resource management using advance reservations for heterogeneous Grids

Castillo

Rouskas

Harfoush

2008

2008 IEEE International Symposium on Parallel and Distributed Processing

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Abstract-Support for advance reservations of resources plays a key role in Grid resource management as it enables the system to meet user expectations with respect to time requirements and temporal dependence of applications, increases predictability of the system and enables coallocation of resources. Despite these attractive features, adoption of advance reservations is limited mainly due to the fact that related algorithms are typically complex and fail to scale to large and loaded systems. In this work we consider two aspects of advance reservations. First, we investigate the impact of heterogeneity on Grid resource management when advance reservations are supported. Second, we employ techniques from computational geometry to develop an efficient heterogeneity-aware scheduling algorithm. Our main finding is that Grids may benefit from high levels of resource heterogeneity, independently of the total system capacity. Our results show that our algorithm performs well across several user and system performance and overcome the lack of scalability and adaptability of existing mechanisms.

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Simplifying construction of complex workflows for non-expert users of the Southern California Earthquake Center Community Modeling Environment

Abstract: Abstract

Cited by 43 publications

References 16 publications

Principles for interactive acquisition and validation of workflows

Principles for interactive acquisition and validation of workflows

Research on Distributed Software Testing Platform Based on Cloud Resource

Efficient resource management using advance reservations for heterogeneous Grids

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