An innovative workflow mapping mechanism for Grids in the frame of Quality of Service

Kyriazis, Dimosthenis; Tserpes, Konstantinos; Menychtas, Andreas; Λίτκε, Αντώνιος; Varvarigou, Theodora

doi:10.1016/j.future.2007.07.009

Cited by 52 publications

(24 citation statements)

References 26 publications

(30 reference statements)

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“…To achieve this, QosCosGrid provides services such as co-allocation and advance resource reservation [6], which are very difficult to provide in dynamic grid environments. Recent efforts in these areas include that by Elmroth and Tordsson for the NorduGrid/ARC middleware [7] and the work by Kyriazis and colleagues [8] who concentrate on orchestrating grid resources in order to support application workflows. More established solutions are provided by Condor-G [9], and Nimrod-G [10].…”

Section: Discussionmentioning

confidence: 99%

Complex System Simulations with QosCosGrid

Kurowski

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Dubitzky

et al. 2009

Lecture Notes in Computer Science

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Abstract. The aim of the QosCosGrid project is to bring supercomputer-like performance and structure to cross-cluster computations. To support parallel complex systems simulations, QosCosGrid provides six reusable templates that may be instantiated with simulation-specific code to help with developing parallel applications using the ProActive Java library. The templates include static and dynamic graphs, cellular automata and mobile agents. In this work, we show that little performance is lost when a ProActive cellular automata simulation is executed across two distant administrative domains. We describe the middleware developed in the QosCosGrid project, which provides advance reservation and resource co-allocation functionality as well as support for parallel applications based on OpenMPI (for C/C++ and Fortran) or ProActive for Java. In particular, we describe how we modified ProActive Java to enable inter-cluster communication through firewalls. The bulk of the QosCosGrid software is available in open source from the QosCosGrid project website: www.qoscosgrid.org.

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Section: Discussionmentioning

confidence: 99%

Complex System Simulations with QosCosGrid

Kurowski

Back

Dubitzky

et al. 2009

Lecture Notes in Computer Science

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“…This is then improved iteratively until a valid solution is found. Similarly, Kyriazis et al [16] propose a mapping of workflow processes to service instances so that the user's requirements are met concerning availability level or cost. Subsequently, improvements of the first solution with a better level of QoS replace the previous solution.…”

Section: Workflow Application Scheduling Problemmentioning

confidence: 99%

“…w h i l e ( a t l e a s t one T H i n o t empty ) { t mi n =Double .MAX_VALUE; f o r each t a s k t i such t h a t T H i n o t empty { f o r each t h r e a d th ij i n T H i { 16 …”

Section: U R R E N T T I M E =0; F O R Each T a S K T I I N V Startmentioning

confidence: 99%

A model, design, and implementation of an efficient multithreaded workflow execution engine with data streaming, caching, and storage constraints

Czarnul

2012

J Supercomput

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The paper proposes a model, design, and implementation of an efficient multithreaded engine for execution of distributed service-based workflows with data streaming defined on a per task basis. The implementation takes into account capacity constraints of the servers on which services are installed and the workflow data footprint if needed. Furthermore, it also considers storage space of the workflow execution engine and its cost. Caching service output data is implemented to speed up the execution of the workflow. Input data is partitioned into data packets, which are passed and processed by services previously selected for workflow tasks so that the aforementioned constraints are met. Performance impact of the proposed mechanisms is investigated for workflow structures common in acyclic directed graph workflow applications. It is shown for a real workflow with distributed processing of digital media content that the initial budget needs to be properly distributed between both the cost of services, but also the cost of intermediate storage to obtain good workflow execution times.

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“…Many techniques have been introduced to study the quality of service and performance models and to monitor the execution of business Web services and workflows [2,[30][31][32]. The WebLogic Process Integrator [33] allows the user to examine status of workflow instances.…”

Section: Related Workmentioning

confidence: 99%

“…It is because the Grid offers a huge amount of heterogeneous computing resources, making the traditional code optimization cycle difficult. Instead, the performance optimization is shifted to Grid middleware services which aim at optimizing the execution of Grid workflows by means of the optimization of resource selections and execution control, and self-adaptive techniques [2][3][4][5][6][7][8]. To support this paradigm shift, Grid middleware require performance analysis services which are capable of detecting performance problems of Grid workflows during runtime.…”

Section: Introductionmentioning

confidence: 99%

DIPAS: A distributed performance analysis service for grid service-based workflows

Truong

Brunner

Nae

et al. 2009

Future Generation Computer Systems

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Grid workflows are executed on diverse resources whose interactions are highly complex and hardly predicted. Often the user and the workflow middleware services want to be informed about the performance behavior of workflows, as early as possible, so that they can steer the execution of workflows to compensate the performance loss or execution failures. This paper describes a distributed performance analysis service that supports tracing execution, analyzing performance overheads, and searching for performance problems of Web services-based workflows in the Grid. We present how the user and the Grid workflow middleware can utilize the distributed performance analysis service in order to optimize the execution of workflows.

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An innovative workflow mapping mechanism for Grids in the frame of Quality of Service

Cited by 52 publications

References 26 publications

Complex System Simulations with QosCosGrid

Complex System Simulations with QosCosGrid

A model, design, and implementation of an efficient multithreaded workflow execution engine with data streaming, caching, and storage constraints

DIPAS: A distributed performance analysis service for grid service-based workflows

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