From Grid Middleware to Grid Applications: Bridging the Gap with Hocs

Gorlatch, Sergei; Dünnweber, Jan

doi:10.1007/978-0-387-29445-2_13

Cited by 20 publications

(26 citation statements)

References 6 publications

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“…Skeleton technology has recently been adopted in the component based programming scenario by developing (composite) components modeling common parallelism exploitation patterns and accepting other components as parameters to model the skeleton inner computations [10,11]. To support automatic adaptation of skeleton component execution to highly dynamic features of target architectures such as grids, autonomic management has been eventually combined with skeleton based modeling in the behavioural skeletons [12].…”

Section: Background and Related Workmentioning

confidence: 99%

Stkm on Sca: A Unified Framework with Components, Workflows and Algorithmic Skeletons

Aldinucci

Bouziane

Danelutto

et al. 2009

Lecture Notes in Computer Science

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Abstract. This paper investigates an implementation of STKM, a SpatioTemporal sKeleton Model. STKM expands the Grid Component Model (GCM) with an innovative programmable approach that allows programmers to compose an application by combining component, workflow and skeleton concepts. The paper deals with a projection of the STKM model on top of SCA and it evaluates its implementation using Tuscany Java SCA. Experimental results show the need and the benefits of the high level of abstraction offered by STKM.

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Section: Background and Related Workmentioning

confidence: 99%

Stkm on Sca: A Unified Framework with Components, Workflows and Algorithmic Skeletons

Aldinucci

Bouziane

Danelutto

et al. 2009

Lecture Notes in Computer Science

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“…Higher-Order Components for grids [25] is skeleton framework specifically designed to support the execution of skeleton-based applications on grid systems. The use of AOP techniques to transparently execute Java thread-based applications on grids is addressed in [26].…”

Section: Pluggable Grid Services Performancementioning

confidence: 99%

Pluggable grid services

Sobral

2007

2007 8th IEEE/ACM International Conference on Grid Computing

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Abstract-This paper introduces a new concept of pluggable grid service, that provides seamless access to computational grids, based on aspect-oriented techniques. Pluggable grid services avoid explicit calls to grid services in scientific codes, localize grid-specific concerns into well defined modules and can be (un)plugged from scientific codes. Domain specific code becomes oblivious of grid issues, allowing scientists to concentrate on domain specific issues, and to manage grid issues by composing grid-specific modules. This paper presents a collection of pluggable grid services that illustrates the idea and shows how pluggable grid services can grid-enable a skeleton framework. I. INTRODUCTIONComputational grids provide unparallel computational power to scientists, making it possible to perform larger and more complex simulations and experiments. However, current grid services require a considerable up-front investment to understand and to use a grid application programming interface. Moreover, to enable applications to run on computational grids, scientists lose control of the overall structure of their code and execution of their code becomes dependent of a grid infrastructure (or a ghost local grid). For instance, when using MPICH-G [1] programmers must parallelize their application, splitting application data among MPI process and to use send and receive primitives to exchange data among processes. The main control flow is now MPI-based, which poses limitations to understanding and evolving grid-enabled codes. These limitations contribute to a shortage of real grid users, as converting applications to run on computational grids requires multiple and non-reversible changes to the original domain specific code.Aspect-oriented programming [2] (AOP) was proposed to address crosscutting concerns in systems software. AOP makes it possible to localize into well defined modules concerns that are not effectively modularized with other programming techniques. This paper explores the use of AOP techniques to support pluggable grid services (PGS). The idea is three-fold:(i) Modularity of grid concerns: to use AOP techniques to localize grid concerns into well defined modules. (ii) Pluggability of grid services: to provide means to grid-enable scientific applications with less changes to the source code than current approaches. (iii) Unpluggability of grid services: to support the development of grid enabled applications that can run when grid-specific modules are not included in the build.

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“…More recently algorithmic skeleton concepts moved to the grid scenario and were used to program several different kind of super/meta/skeleton components modelling common grid programming paradigms [13,7,4]. Components embedding of skeletons somehow filled the gap among skeletons concepts and software engineering concepts.…”

Section: Introductionmentioning

confidence: 99%

Behavioural Skeletons Meeting Services

Danelutto¹,

Giorgio

2008

Computational Science – ICCS 2008

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Abstract. Behavioural skeletons have been introduced as a suitable way to model autonomic management of parallel, distributed (grid) applications. A behavioural skeleton is basically a skeleton with an associated autonomic manager taking care of non-functional issues related to skeleton implementation. Here we discuss an implementation of a task farm behavioural skeleton exploiting SCA, the Service Component Architecture recently introduced by IBM. This implementation is meant to provide plain service/SCA users some efficient skeleton modelling common parallel application pattern and also to investigate the advantages and the problems relative to skeletons in the service world. Experimental results are eventually discussed.

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From Grid Middleware to Grid Applications: Bridging the Gap with Hocs

Cited by 20 publications

References 6 publications

Stkm on Sca: A Unified Framework with Components, Workflows and Algorithmic Skeletons

Stkm on Sca: A Unified Framework with Components, Workflows and Algorithmic Skeletons

Pluggable grid services

Behavioural Skeletons Meeting Services

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