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Journal articles on the topic 'Grid workflow'

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Published: 4 June 2021

Last updated: 6 February 2022

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1

Balis, Bartosz, Marian Bubak, and Bartłomiej Łabno. "Monitoring of Grid Scientific Workflows." Scientific Programming 16, no. 2-3 (2008): 205–16. http://dx.doi.org/10.1155/2008/849354.

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Scientific workflows are a means of conducting in silico experiments in modern computing infrastructures for e-Science, often built on top of Grids. Monitoring of Grid scientific workflows is essential not only for performance analysis but also to collect provenance data and gather feedback useful in future decisions, e.g., related to optimization of resource usage. In this paper, basic problems related to monitoring of Grid scientific workflows are discussed. Being highly distributed, loosely coupled in space and time, heterogeneous, and heavily using legacy codes, workflows are exceptionally challenging from the monitoring point of view. We propose a Grid monitoring architecture for scientific workflows. Monitoring data correlation problem is described and an algorithm for on-line distributed collection of monitoring data is proposed. We demonstrate a prototype implementation of the proposed workflow monitoring architecture, the GEMINI monitoring system, and its use for monitoring of a real-life scientific workflow.

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2

Kukla, Tamas, Tamas Kiss, Peter Kacsuk, and Gabor Terstyanszky. "Integrating Open Grid Services Architecture Data Access and Integration with computational Grid workflows." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1897 (June 28, 2009): 2521–32. http://dx.doi.org/10.1098/rsta.2009.0040.

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Although many scientific applications rely on data stored in databases, most workflow management systems are not capable of establishing database connections during workflow execution. For this reason, e-Scientists have to use different tools before workflow submission to access their datasets and gather the required data on which they want to carry out computational experiments. Open Grid Services Architecture Data Access and Integration (OGSA-DAI) is a good candidate to use as middleware providing access to several structured and semi-structured database products through Web/Grid services. The integration technique and its reference implementation described in this paper enable e-Scientists to reach databases via OGSA-DAI within their scientific workflows at run-time and give a general solution that can be adopted by any workflow management system.

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3

Bosin, Andrea, Nicoletta Dessì, Bairappan Madusudhanan, and Barbara Pes. "A SOA-Based Environment Supporting Collaborative Experiments in E-Science." International Journal of Web Portals 3, no. 3 (July 2011): 12–26. http://dx.doi.org/10.4018/jwp.2011070102.

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Many sophisticated environments allow creating and managing of scientific workflows, whereas the workflow itself is provided as a service. Scientific Grids handle large amounts of data and share resources, but the implementation of service-based applications that use scientific infrastructures remains a challenging task, due to the heterogeneity of Grid middleware and different programming models. This paper proposes an e-Science environment providing functionality in a simplified way, considering the Grid as a source of computational power and an information infrastructure. To promote integration among components and user interaction, the paper outlines a SOA-based scientific environment where an experiment is modeled through an abstract workflow defining the functional model of the experiment. The tasks are mapped to the corresponding scientific services by a workflow engine, separating logical aspects from implementation issues. Services depend on the type of experiment and can be re-used, wrapped, or moved into a new workflow. Infrastructural services discover suitable resources that match user requirements and schedule workflow tasks. Further, they monitor the execution of each task and aggregate the results. The proposed approach provides a simple-to-use and standardized way for the deployment of scientific workflows in a distributed scientific environment, including the Grid.

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Elmsheuser, Johannes, Alessandro Di Girolamo, Andrej Filipcic, Antonio Limosani, Markus Schulz, David Smith, Andrea Sciaba, and Andrea Valassi. "ATLAS Grid Workflow Performance Optimization." EPJ Web of Conferences 214 (2019): 03021. http://dx.doi.org/10.1051/epjconf/201921403021.

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The CERN ATLAS experiment grid workflow system manages routinely 250 to 500 thousand concurrently running production and analysis jobs to process simulation and detector data. In total more than 370 PB of data is distributed over more than 150 sites in the WLCG. At this scale small improvements in the software and computing performance and workflows can lead tosignificant resource usage gains. ATLAS is reviewing together with CERN IT experts several typical simulation and data processing workloads for potential performance improvements in terms of memory and CPU usage, disk and network I/O. All ATLASproduction and analysis grid jobs are instrumented to collect many performance metrics for detailed statistical studies using modern data analytics tools like ElasticSearch and Kibana. This presentation will review and explain the performance gains of several ATLAS simulation and data processing workflows and present analytics studies of the ATLAS grid workflows.

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Nguyen, Binh Thanh, Duc Huu Nguyen, Thuy Thanh Nguyen, and Doan Bang Hoang. "Design of a Workflow-Based Grid Framework." International Journal of Computer Theory and Engineering 8, no. 1 (February 2016): 14–23. http://dx.doi.org/10.7763/ijcte.2016.v8.1013.

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6

Liu, Yue Hua. "Applied Technology in the Grid Workflow Quality of Service Calculation and Estimation." Advanced Materials Research 859 (December 2013): 531–36. http://dx.doi.org/10.4028/www.scientific.net/amr.859.531.

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For the grid workflow system include a large of candidate services, the activity scheduling in workflow’s ex-ecution base on quality of service (QoS) constraints can pro-vide optimal service for users. This paper established the QoS’s parameter system with applied technology of grid workflow, and introduced the each parameter’s calculation model of activity’s QoS, the grid work-flow’s QoS estimation method based on the basic flow control structures defined by the abstract grid workflow language (AGWL). The experimental results show that the calculation method in this paper can estimate stably QoS parameter values of grid workflow combining with the multi candidate services, and, can provide a reasonable basis for process scheduling based on QoS constraints.

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7

Singh, Gurmeet, Karan Vahi, Arun Ramakrishnan, Gaurang Mehta, Ewa Deelman, Henan Zhao, Rizos Sakellariou, et al. "Optimizing Workflow Data Footprint." Scientific Programming 15, no. 4 (2007): 249–68. http://dx.doi.org/10.1155/2007/701609.

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In this paper we examine the issue of optimizing disk usage and scheduling large-scale scientific workflows onto distributed resources where the workflows are data-intensive, requiring large amounts of data storage, and the resources have limited storage resources. Our approach is two-fold: we minimize the amount of space a workflow requires during execution by removing data files at runtime when they are no longer needed and we demonstrate that workflows may have to be restructured to reduce the overall data footprint of the workflow. We show the results of our data management and workflow restructuring solutions using a Laser Interferometer Gravitational-Wave Observatory (LIGO) application and an astronomy application, Montage, running on a large-scale production grid-the Open Science Grid. We show that although reducing the data footprint of Montage by 48% can be achieved with dynamic data cleanup techniques, LIGO Scientific Collaboration workflows require additional restructuring to achieve a 56% reduction in data space usage. We also examine the cost of the workflow restructuring in terms of the application's runtime.

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8

Cybok, Dieter. "A Grid workflow infrastructure." Concurrency and Computation: Practice and Experience 18, no. 10 (2006): 1243–54. http://dx.doi.org/10.1002/cpe.998.

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9

Neubauer, Falk, Andreas Hoheisel, and Joachim Geiler. "Workflow-based Grid applications." Future Generation Computer Systems 22, no. 1-2 (January 2006): 6–15. http://dx.doi.org/10.1016/j.future.2005.08.002.

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10

Prajapati, Harshadkumar B., and Vipul A. Shah. "Bandwidth-Aware Scheduling of Workflow Application on Multiple Grid Sites." Journal of Computer Networks and Communications 2014 (2014): 1–15. http://dx.doi.org/10.1155/2014/529835.

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Bandwidth-aware workflow scheduling is required to improve the performance of a workflow application in a multisite Grid environment, as the data movement cost between two low-bandwidth sites can adversely affect the makespan of the application. Pegasus WMS, an open-source and freely available WMS, cannot fully utilize its workflow mapping capability due to unavailability of integration of any bandwidth monitoring infrastructure in it. This paper develops the integration of Network Weather Service (NWS) in Pegasus WMS to enable the bandwidth-aware mapping of scientific workflows. Our work demonstrates the applicability of the integration of NWS by making existing Heft site-selector of Pegasus WMS bandwidth aware. Furthermore, this paper proposes and implements a new workflow scheduling algorithm—Level based Highest Input and Processing Weight First. The results of the performed experiments indicate that the bandwidth-aware workflow scheduling algorithms perform better than bandwidth-unaware algorithms: Random and Heft of Pegasus WMS. Moreover, our proposed workflow scheduling algorithm performs better than the bandwidth-aware Heft algorithms. Thus, the proposed bandwidth-aware workflow scheduling enhances capability of Pegasus WMS and can increase performance of workflow applications.

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11

Thompson, Craig, Wing Li, and Zhichun Xiao. "Workflow Planning on a Grid." IEEE Internet Computing 11, no. 1 (2007): 74–77. http://dx.doi.org/10.1109/mic.2007.26.

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12

WANG, Yong. "QoS-Awared Grid Workflow Schedule." Journal of Software 17, no. 11 (2006): 2341. http://dx.doi.org/10.1360/jos172341.

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13

Hongwei, Zeng, and Miao Huaikou. "Data exchange in grid workflow." Wuhan University Journal of Natural Sciences 11, no. 5 (September 2006): 1330–34. http://dx.doi.org/10.1007/bf02829261.

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14

Taylor, Ian, Matthew Shields, Ian Wang, and Andrew Harrison. "Visual Grid Workflow in Triana." Journal of Grid Computing 3, no. 3-4 (September 2005): 153–69. http://dx.doi.org/10.1007/s10723-005-9007-3.

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Singh, Gurmeet, Carl Kesselman, and Ewa Deelman. "Optimizing Grid-Based Workflow Execution." Journal of Grid Computing 3, no. 3-4 (September 2005): 201–19. http://dx.doi.org/10.1007/s10723-005-9011-7.

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Korkhov, Vladimir, Dmitry Vasyunin, Adianto Wibisono, Adam S. Z. Belloum, Márcia A. Inda, Marco Roos, Timo M. Breit, and L. O. Hertzberger. "VLAM-G: Interactive Data Driven Workflow Engine for Grid-Enabled Resources." Scientific Programming 15, no. 3 (2007): 173–88. http://dx.doi.org/10.1155/2007/812036.

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Grid brings the power of many computers to scientists. However, the development of Grid-enabled applications requires knowledge about Grid infrastructure and low-level API to Grid services. In turn, workflow management systems provide a high-level environment for rapid prototyping of experimental computing systems. Coupling Grid and workflow paradigms is important for the scientific community: it makes the power of the Grid easily available to the end user. The paradigm of data driven workflow execution is one of the ways to enable distributed workflow on the Grid. The work presented in this paper is carried out in the context of the Virtual Laboratory for e-Science project. We present the VLAM-G workflow management system and its core component: the Run-Time System (RTS). The RTS is a dataflow driven workflow engine which utilizes Grid resources, hiding the complexity of the Grid from a scientist. Special attention is paid to the concept of dataflow and direct data streaming between distributed workflow components. We present the architecture and components of the RTS, describe the features of VLAM-G workflow execution, and evaluate the system by performance measurements and a real life use case.

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17

Yu, Wan Jun, Yun Xiang Liu, and Hua Fang. "The Analysis and Application Research on the Performance of Describing Based on an Abstract Grid Workflow Language." Applied Mechanics and Materials 475-476 (December 2013): 811–14. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.811.

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Grid Workflow Language Yu wan jun1,2, Liu Yunxiang1,2, Fang Hua1,21 Shanghai institute of technology, School of computer science and information engineering, Shanghai, 201418, China 2Shanghai institute of technology, research center of machine olfaction, Shanghai, 201418, China Key words:Intelligant System; Grid Workflow; Activity; Parallel Structure; Abstract:Grids specification is one of the imporant contents in grid workflow fields, it can shield details of underling grid, so users can concentrate on the description of Grid applications. AGWL(Abstract Grid Workflow Language) is an abstract language based on XML, it was always used to describe grid workflow. The basic activities are connected by the control flow and data link. AGWL uses advanced control flow to support the parallel execution of conditions and loops. As an example, we finally introduced a sales process to show the capacity of the grid workflow language AGWL.

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18

Baranowski, Mikołaj, Adam Belloum, Marian Bubak, and Maciej Malawski. "Constructing Workflows from Script Applications." Scientific Programming 20, no. 4 (2012): 359–77. http://dx.doi.org/10.1155/2012/683634.

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For programming and executing complex applications on grid infrastructures, scientific workflows have been proposed as convenient high-level alternative to solutions based on general-purpose programming languages, APIs and scripts. GridSpace is a collaborative programming and execution environment, which is based on a scripting approach and it extends Ruby language with a high-level API for invoking operations on remote resources. In this paper we describe a tool which enables to convert the GridSpace application source code into a workflow representation which, in turn, may be used for scheduling, provenance, or visualization. We describe how we addressed the issues of analyzing Ruby source code, resolving variable and method dependencies, as well as building workflow representation. The solutions to these problems have been developed and they were evaluated by testing them on complex grid application workflows such as CyberShake, Epigenomics and Montage. Evaluation is enriched by representing typical workflow control flow patterns.

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19

Quan, Dang Minh, and Odej Kao. "ON ARCHITECTURE FOR SLA-AWARE WORKFLOWS IN GRID ENVIRONMENTS." Journal of Interconnection Networks 06, no. 03 (September 2005): 245–63. http://dx.doi.org/10.1142/s0219265905001411.

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Service Level Agreements (SLAs) are currently one of the major research topics in Grid Computing, as they serve as a foundation for reliable and predictable Grids. SLAs define an explicit statement of expectations and obligations in a business relationship between provider and customer. Thus, SLAs should guarantee the desired and a-priori negotiated Quality of Service (QoS), which is a mandatory prerequisite for the Next Generation Grids. This development is proved by a manifold research work about SLAs and architectures for implementing SLAs in Grid environments. However, this work is mostly related to SLAs for standard, monolithic Grid jobs and neglects the dependencies between different steps of operation. The complexity of an SLA-specification for workflows grows significantly, as characteristics of correlated sub-jobs, the data transfer phases, the deadline constraints and possible failures have to be considered. Thus, an architecture for an SLA-aware workflow implementation needs sophisticated mechanisms for specification and management, sub-job mapping, data transfer optimization and fault reaction. Therefore, this paper presents an architecture for SLA-aware Grid workflows. The main contributions are an improved specification language for SLA-aware workflows, a mapping and optimization algorithm for sub-job assignment to Grid resources and a prototype implementation using standard middleware. Experimental measurements prove the quality of the development.

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20

Yuan, Yi Ping, Mei Nian, and Wen Lei Sun. "Manufacturing Grid Workflow Framework and Model." Advanced Materials Research 33-37 (March 2008): 1431–38. http://dx.doi.org/10.4028/www.scientific.net/amr.33-37.1431.

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The Manufacturing Grid domain is characterized by rapid and substantial change over time. The entire process of product development can be quite complex. The activities are expected to be executed on heterogeneous resources which are geographically distributed. However, traditional modeling systems use static workflow models which can not automatically redesign the business process and mask the isomerism of the resources. In this article, an open and extensible framework of MG workflow is given, which complies with the standard of WFMC and GGF. A formalized definition workflow model is proposed including process model, organization model, resource model, and service mode. The integrated workflow model can be used to dynamically represent a business process and other aspect s of Manufacturing Grid workflow.

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21

Shamardin, Lev, Alexander Kryukov, Andrey Demichev, and Vyacheslav Ilyin. "Grid workflow job execution service 'Pilot'." Journal of Physics: Conference Series 331, no. 6 (December 23, 2011): 062045. http://dx.doi.org/10.1088/1742-6596/331/6/062045.

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22

Nichols, J., H. Demirkan, and M. Goul. "Autonomic workflow execution in the grid." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 36, no. 3 (May 2006): 353–64. http://dx.doi.org/10.1109/tsmcc.2006.871574.

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23

Fox, Geoffrey C., and Dennis Gannon. "Special Issue: Workflow in Grid Systems." Concurrency and Computation: Practice and Experience 18, no. 10 (2006): 1009–19. http://dx.doi.org/10.1002/cpe.1019.

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24

Li, Zhongwen, and Yang Xiang. "Checkpointing schemes for Grid workflow systems." Concurrency and Computation: Practice and Experience 20, no. 15 (October 2008): 1773–90. http://dx.doi.org/10.1002/cpe.1321.

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Cafaro, M., I. Epicoco, M. Mirto, D. Lezzi, and G. Aloisio. "The Grid Resource Broker workflow engine." Concurrency and Computation: Practice and Experience 20, no. 15 (October 2008): 1725–39. http://dx.doi.org/10.1002/cpe.1318.

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26

Cuda, G., P. Veltri, and M. Cannataro. "Modeling and Designing a Proteomics Application on PROTEUS." Methods of Information in Medicine 44, no. 02 (2005): 221–26. http://dx.doi.org/10.1055/s-0038-1633951.

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Summary Objectives: Biomedical applications, such as analysis and management of mass spectrometry proteomics experiments, involve heterogeneous platforms and knowledge, massive data sets, and complex algorithms. Main requirements of such applications are semantic modeling of the experiments and data analysis, as well as high performance computational platforms. In this paper we propose a software platform allowing to model and execute biomedical applications on the Grid. Methods: Computational Grids offer the required computational power, whereas ontologies and workflow help to face the heterogeneity of biomedical applications. In this paper we propose the use of domain ontologies and workflow techniques for modeling biomedical applications, whereas Grid middleware is responsible for high performance execution. As a case study, the modeling of a proteomics experiment is discussed. Results: The main result is the design and first use of PROTEUS, a Grid-based problem-solving environment for biomedical and bioinformatics applications. Conclusion: To manage the complexity of biomedical experiments, ontologies help to model applications and to identify appropriate data and algorithms, workflow techniques allow to combine the elements of such applications in a systematic way. Finally, translation of workflow into execution plans allows the exploitation of the computational power of Grids. Along this direction, in this paper we present PROTEUS discussing a real case study in the proteomics domain.

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Benedict, Shajulin, Rejitha R. S, and V. Vasudevan. "An Evolutionary Hybrid Scheduling Algorithm for Computational Grids." Journal of Advanced Computational Intelligence and Intelligent Informatics 12, no. 5 (September 20, 2008): 479–84. http://dx.doi.org/10.20965/jaciii.2008.p0479.

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Grids promote user collaboration through flexible, coordinated sharing of distributed resources to solve a single large problem. Grid scheduling, similar to resource discovery and monitoring, is inherently more complex in Grid environments. We propose two approaches for solving Grid scheduling problems with the simultaneous objectives of maximizing the number of workflow executions and minimizing the waiting time variance among tasks of each workflow. One is the multiple objective Niched Pareto Genetic Algorithm (NPGA) that involves evolution during a comprehensive search and work on multiple solutions. After the Genetic search, we strengthen the search using Simulated Annealing as a local search meta-heuristic. For comparison, we evaluate other scheduling, such as, Tabu Search (TS), Simulated annealing (SA), and Discrete Particle Swarm Optimization (Discrete PSO). Results show that our proposed evolutionary Hybrid scheduling involving NPGA with an SA search, works better than other scheduling in considering workflow execution time within a deadline and waiting time variance in tasks with minimal iterations.

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Smanchat, Sucha, and Suchon Sritawathon. "A scheduling algorithm for grid workflow using bottleneck detection and load balancing." International Journal of Web Information Systems 10, no. 3 (August 12, 2014): 263–74. http://dx.doi.org/10.1108/ijwis-02-2014-0002.

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Purpose – This paper aims to propose a scheduling technique for parameter sweep workflows, which are used in parametric study and optimization. When executed in multiple parallel instances in the grid environment, it is necessary to address bottleneck and load balancing to achieve an efficient execution. Design/methodology/approach – A bottleneck detection approach is based on commonly known performance metrics of grid resources. To address load balancing, a resource requirement similarity metric is introduced to determine the likelihood of the distribution of tasks across available grid resources, which is referred to as an execution context. The presence of a bottleneck and the execution context are used in the main algorithm, named ABeC, to schedule tasks selectively at run-time to achieve a better overall execution time or makespan. Findings – According to the results of the simulations against four existing algorithms using several scenarios, the proposed technique performs, at least, similarly to the existing four algorithms in most cases and achieves better performance when scheduling workflows have a parallel structure. Originality/value – The bottleneck detection and the load balancing proposed in this paper require only common resource and task information, rendering it applicable to most workflow systems. The proposed scheduling technique, through such selective behaviour, may help reduce the time required for the execution of multiple instances of a grid workflow that is to be executed in parallel.

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Brandic, Ivona, Sabri Pllana, and Siegfried Benkner. "An Approach for the High-Level Specification of QoS-Aware Grid Workflows Considering Location Affinity." Scientific Programming 14, no. 3-4 (2006): 231–50. http://dx.doi.org/10.1155/2006/670375.

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Many important scientific and engineering problems may be solved by combining multiple applications in the form of a Grid workflow. We consider that for the wide acceptance of Grid technology it is important that the user has the possibility to express requirements on Quality of Service (QoS) at workflow specification time. However, most of the existing workflow languages lack constructs for QoS specification. In this paper we present an approach for high level workflow specification that considers a comprehensive set of QoS requirements. Besides performance related QoS, it includes economical, legal and security aspects. For instance, for security or legal reasons the user may express the location affinity regarding Grid resources on which certain workflow tasks may be executed. Our QoS-aware workflow system provides support for the whole workflow life cycle from specification to execution. Workflow is specified graphically, in an intuitive manner, based on a standard visual modeling language. A set of QoS-aware service-oriented components is provided for workflow planning to support automatic constraint-based service negotiation and workflow optimization. For reducing the complexity of workflow planning, we introduce a QoS-aware workflow reduction technique. We illustrate our approach with a real-world workflow for maxillo facial surgery simulation.

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30

CaiLi Fang, and Lin Wu. "Performance Evaluation Based Grid Workflow Scheduling Algorithm." International Journal of Digital Content Technology and its Applications 7, no. 7 (April 15, 2013): 760–69. http://dx.doi.org/10.4156/jdcta.vol7.issue7.90.

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31

Binder, Walter, Ion Constantinescu, Boi Faltings, and Nadine Heterd. "Optimized, decentralized workflow execution in grid environments." Multiagent and Grid Systems 3, no. 3 (August 18, 2007): 259–79. http://dx.doi.org/10.3233/mgs-2007-3301.

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Tang, Feilong, Minglu Li, and Minyi Guo. "A transactional grid workflow service for ShanghaiGrid." International Journal of Web and Grid Services 3, no. 4 (2007): 424. http://dx.doi.org/10.1504/ijwgs.2007.015423.

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Spooner, D. P. "Performance-Aware Workflow Management for Grid Computing." Computer Journal 48, no. 3 (March 1, 2005): 347–57. http://dx.doi.org/10.1093/comjnl/bxh090.

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Kim, Seung-Hyun, Kyong Hoon Kim, Jong Kim, Sung-Je Hong, and Sangwan Kim. "Workflow-Based Authorization Service in the Grid." Journal of Grid Computing 2, no. 1 (March 2004): 43–55. http://dx.doi.org/10.1007/s10723-004-2080-1.

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Chauhan, Piyush, and Nitin. "Fault Tolerant PLBGSA: Precedence Level Based Genetic Scheduling Algorithm for P2P Grid." Journal of Engineering 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/749132.

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Due to monetary limitation, small organizations cannot afford high end supercomputers to solve highly complex tasks. P2P (peer to peer) grid computing is being used nowadays to break complex task into subtasks in order to solve them on different grid resources. Workflows are used to represent these complex tasks. Finishing such complex task in a P2P grid requires scheduling subtasks of workflow in an optimized manner. Several factors play their part in scheduling decisions. The genetic algorithm is very useful in scheduling DAG (directed acyclic graph) based task. Benefit of a genetic algorithm is that it takes into consideration multiple criteria while scheduling. In this paper, we have proposed a precedence level based genetic algorithm (PLBGSA), which yields schedules for workflows in a decentralized fashion. PLBGSA is compared with existing genetic algorithm based scheduling techniques. Fault tolerance is a desirable trait of a P2P grid scheduling algorithm due to the untrustworthy nature of grid resources. PLBGSA handles faults efficiently.

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Blower, J. D., A. B. Harrison, and K. Haines. "Styx Grid Services: Lightweight Middleware for Efficient Scientific Workflows." Scientific Programming 14, no. 3-4 (2006): 209–16. http://dx.doi.org/10.1155/2006/314367.

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The service-oriented approach to performing distributed scientific research is potentially very powerful but is not yet widely used in many scientific fields. This is partly due to the technical difficulties involved in creating services and workflows and the inefficiency of many workflow systems with regard to handling large datasets. We present the Styx Grid Service, a simple system that wraps command-line programs and allows them to be run over the Internet exactly as if they were local programs. Styx Grid Services are very easy to create and use and can be composed into powerful workflows with simple shell scripts or more sophisticated graphical tools. An important feature of the system is that data can be streamed directly from service to service, significantly increasing the efficiency of workflows that use large data volumes. The status and progress of Styx Grid Services can be monitored asynchronously using a mechanism that places very few demands on firewalls. We show how Styx Grid Services can interoperate with with Web Services and WS-Resources using suitable adapters.

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McGough, A. Stephen, Asif Akram, Li Guo, Marko Krznaric, Luke Dickens, David Colling, Janusz Martyniak, et al. "GRIDCC: A Real-Time Grid Workflow System with QoS." Scientific Programming 15, no. 4 (2007): 213–34. http://dx.doi.org/10.1155/2007/516174.

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The over-arching aim of Grid computing is to move computational resources from individual institutions where they can only be used for in-house work, to a more open vision of vast online ubiquitous `virtual computational' resources which support individuals and collaborative projects. A major step towards realizing this vision is the provision of instrumentation – such as telescopes, accelerators or electrical power stations – as Grid resources, and the tools to manage these resources online. The GRIDCC project attempts to satisfy these requirements by providing the following four co-dependent components; a flexible wrapper for publishing instruments as Grid resources; workflow support for the orchestration of multiple Grid resources in a timely manner; the machinery to make reservation agreements on Grid resources; and the facility to satisfy quality of service (QoS) requirements on elements within workflows. In this paper we detail the set of services developed as part of the GRIDCC project to provide the last three of these components. We provide a detailed architecture for these services along with experimental results from load testing experiments. These services are currently deployed as a test-bed at a number of institutions across Europe, and are poised to provide a 'virtual lab' to production level applications.

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Zhu, Ying, Hai Feng Huang, and Yi Ping Yuan. "The Research of Execute Process and Service Selecting under Manufacturing Grid Workflow." Advanced Materials Research 33-37 (March 2008): 1439–44. http://dx.doi.org/10.4028/www.scientific.net/amr.33-37.1439.

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MG workflow can be defined as the composition of manufacturing activities which execute on heterogeneous and distributed manufacturing resources in a well-defined order to accomplish a specific goal. The execute process of MG workflow includes model building, service finding, service selecting, service binding and service invocation. Service selecting is one of the most critical components in MG workflow. So, this research brings forth AHP-based grid nodes choosing method, which takes time, quality, cost, service, fidelity, reliability, policy (TQCSFRP) as rules, and chooses best resource node as target. The dynamic service binding and invocation between an activity request and an optimal service provider is realized when a workflow is in execution. Higher flexibility and self-adaptability of workflow management are achieved. Furthermore, the application architecture is depicted at the end of the paper to illustrate the utilization of MG workflow.

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Zhang, Shichao. "A Norm-Driven Grid Workflow State Machine Model." Journal of Computer Research and Development 43, no. 2 (2006): 307. http://dx.doi.org/10.1360/crad20060218.

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Sirvent, Raül, Josep M. Pérez, Rosa M. Badia, and Jesús Labarta. "Automatic Grid workflow based on imperative programming languages." Concurrency and Computation: Practice and Experience 18, no. 10 (2006): 1169–86. http://dx.doi.org/10.1002/cpe.1000.

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Chen, Jinjun, and Yun Yang. "A taxonomy of grid workflow verification and validation." Concurrency and Computation: Practice and Experience 20, no. 4 (2008): 347–60. http://dx.doi.org/10.1002/cpe.1220.

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Ma, Ru-Yue, Yong-Wei Wu, Xiang-Xu Meng, Shi-Jun Liu, and Li Pan. "Grid-Enabled Workflow Management System Based On BPEL." International Journal of High Performance Computing Applications 22, no. 3 (August 2008): 238–49. http://dx.doi.org/10.1177/1094342007086224.

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Gomes, Cecilia, Omer F. Rana, and Jose Cunha. "Extending Grid-Based Workflow Tools With Patterns/Operators." International Journal of High Performance Computing Applications 22, no. 3 (August 2008): 301–18. http://dx.doi.org/10.1177/1094342007086228.

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Chen, Xiaowu, Haifeng Ou, and Qinping Zhao. "A distributed workflow management model for grid middleware." International Journal of Parallel, Emergent and Distributed Systems 23, no. 2 (April 2008): 107–20. http://dx.doi.org/10.1080/17445760701751758.

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Ji, Yimu, Ruchuan Wang, and Xunyi Ren. "A hybrid petri-net model of grid workflow." Journal of Electronics (China) 25, no. 2 (March 2008): 283–88. http://dx.doi.org/10.1007/s11767-007-0043-y.

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Tao, Yongcai, Hai Jin, Song Wu, Xuanhua Shi, and Lei Shi. "Dependable Grid Workflow Scheduling Based on Resource Availability." Journal of Grid Computing 11, no. 1 (September 29, 2012): 47–61. http://dx.doi.org/10.1007/s10723-012-9237-0.

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Bubak, Marian, Tomasz Gubała, Michał Kapałka, Maciej Malawski, and Katarzyna Rycerz. "Workflow composer and service registry for grid applications." Future Generation Computer Systems 21, no. 1 (January 2005): 79–86. http://dx.doi.org/10.1016/j.future.2004.09.021.

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Hsu, Chih-Chiang, Kuo-Chan Huang, and Feng-Jian Wang. "Online scheduling of workflow applications in grid environments." Future Generation Computer Systems 27, no. 6 (June 2011): 860–70. http://dx.doi.org/10.1016/j.future.2010.10.015.

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Cao, Haijun, Hai Jin, Song Wu, and Shadi Ibrahim. "Petri net based Grid workflow verification and optimization." Journal of Supercomputing 66, no. 3 (August 17, 2011): 1215–30. http://dx.doi.org/10.1007/s11227-011-0668-3.

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Juve, Gideon, Ewa Deelman, Karan Vahi, and Gaurang Mehta. "Experiences with Resource Provisioning for Scientific Workflows Using Corral." Scientific Programming 18, no. 2 (2010): 77–92. http://dx.doi.org/10.1155/2010/208568.

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Abstract:

The development of grid and workflow technologies has enabled complex, loosely coupled scientific applications to be executed on distributed resources. Many of these applications consist of large numbers of short-duration tasks whose runtimes are heavily influenced by delays in the execution environment. Such applications often perform poorly on the grid because of the large scheduling overheads commonly found in grids. In this paper we present a provisioning system based on multi-level scheduling that improves workflow runtime by reducing scheduling overheads. The system reserves resources for the exclusive use of the application, and gives applications control over scheduling policies. We describe our experiences with the system when running a suite of real workflow-based applications including in astronomy, earthquake science, and genomics. Provisioning resources with Corral ahead of the workflow execution, reduced the runtime of the astronomy application by up to 78% (45% on average) and of a genome mapping application by an order of magnitude when compared to traditional methods. We also show how provisioning can benefit applications both on a small local cluster as well as a large-scale campus resource.

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