Programming, Composing, Deploying for the Grid

Baduel, Laurent; Baude, Françoise; Caromel, Denis; Contes, Arnaud; Huet, Fabrice; Morel, Matthieu; Quilici, Romain

doi:10.1007/1-84628-339-6_9

Cited by 86 publications

(79 citation statements)

References 21 publications

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“…Finally, the chosen framework for this work is ProActive Parallel Suite [5], which is an innovative Open Source solution (OW2 consortium) for parallel, distributed, multi-core computing. Developed in Java, it features a concurrent and parallel programming model, o↵ers distributed and asynchronous communications, mobility and a deployment framework.…”

Section: Parallel/distributed Computation Toolsmentioning

confidence: 99%

Parallel profiling of water distribution networks using the Clément formula

Pezzi

Vaissié

Viala

et al. 2015

Applied Mathematics and Computation

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Optimization of water distribution is a crucial issue which has been targeted by many modelling tools. Useful models, implemented several decades ago, need to be updated and implemented in more powerful computing environments. This paper presents the distributed and redesigned version of a legacy hydraulic simulation software written in Fortran (IRMA) that has been used for over 30 years by the Société du Canal de Provence in order to design and to maintain water distribution networks. IRMA was developed aiming mainly at the treatment of irrigation networks -by using the Clément demand model and is now used to manage more than 6.000 km of piped networks. The growing complexity and size of networks requested to redesign the code by using modern tools and language (Java) and also to run distributed simulations by using the ProActive Parallel Suite.

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Section: Parallel/distributed Computation Toolsmentioning

confidence: 99%

Parallel profiling of water distribution networks using the Clément formula

Pezzi

Vaissié

Viala

et al. 2015

Applied Mathematics and Computation

Self Cite

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“…Since then it has been one of the main rules in stateful actor languages such as Erlang [6], Akka and Scala [7], Kilim [8], ProActive [9], E [10], Salsa [11] and AmbientTalk [12]. In all these languages execution of parallel messages within a single actor is disallowed by construction, e.g.…”

Section: Related Workmentioning

confidence: 99%

“…This is the case for instance in the ProActive actor-based middleware for Java [9]. In ProActive "naked" data structures can be created, which actors can access freely, concurrently.…”

Section: Related Workmentioning

confidence: 99%

Parallel actor monitors: Disentangling task-level parallelism from data partitioning in the actor model

Scholliers

Tanter

Meuter

2014

Science of Computer Programming

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While the actor model of concurrency is well appreciated for its ease of use, its scalability is often criticized. Indeed, the fact that execution within an actor is sequential prevents certain actor systems to take advantage of multicore architectures. In order to combine scalability and ease of use, we propose Parallel Actor Monitors (PAM), as a means to relax the sequentiality of intra-actor activity in a structured and controlled way. A PAM is a modular, reusable scheduler that permits to introduce intra-actor parallelism in a local and abstract manner. PAM allows the stepwise refinement of local parallelism within a system on a per-actor basis, without having to deal with low-level synchronization details and locks. We present the general model of PAM and its instantiation in the AmbientTalk language. Benchmarks confirm the expected performance gain.

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“…ProActive [5] is a middleware for parallel, distributed, and multi-core programming. It provides a set of APIs for development of distributed implementations of different applications, including embarrassingly parallel applications, Monte-Carlo simulations, SPMD, and workflow applications.…”

Section: Related Workmentioning

confidence: 99%

“…Unlike earlier frameworks, such as Condor [4] and ProActive [5], Aneka is the first middleware technology to provide a service-oriented container framework that allows realization of different programming models and enables seamless integration of enterprise computing resources (e.g., Desktop Grids and servers) with public Cloud resources. The Aneka framework has been used to implement various programming models including Thread, Task, MapReduce, and deployment of their applications on private and public Clouds seamlessly.…”

Section: Introductionmentioning

confidence: 99%

The Aneka platform and QoS-driven resource provisioning for elastic applications on hybrid Clouds

Calheiros¹,

Vecchiola²,

Karunamoorthy³

et al. 2012

Future Generation Computer Systems

155

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a b s t r a c tCloud computing alters the way traditional software systems are built and run by introducing a utilitybased model for delivering IT infrastructure, platforms, applications, and services. The consolidation of this new paradigm in both enterprises and academia demanded reconsideration in the way IT resources are used, so Cloud computing can be used together with available resources. A case for the utilization of Clouds for increasing the capacity of computing infrastructures is Desktop Grids: these infrastructures typically provide best effort execution of high throughput jobs and other workloads that fit the model of the platform. By enhancing Desktop Grid infrastructures with Cloud resources, it is possible to offer QoS to users, motivating the adoption of Desktop Grids as a viable platform for application execution. In this paper, we describe how Aneka, a platform for developing scalable applications on the Cloud, supports such a vision by provisioning resources from different sources and supporting different application models. We highlight the key concepts and features of Aneka that support the integration between Desktop Grids and Clouds and present an experiment showing the performance of this integration.

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Programming, Composing, Deploying for the Grid

Cited by 86 publications

References 21 publications

Parallel profiling of water distribution networks using the Clément formula

Parallel profiling of water distribution networks using the Clément formula

Parallel actor monitors: Disentangling task-level parallelism from data partitioning in the actor model

The Aneka platform and QoS-driven resource provisioning for elastic applications on hybrid Clouds

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