International audienceIn distributed system the knowledge of the network is mandatory to know the available connexion and from the performance point of view. Indeed, to be able to efficiently schedule network transfers on computing platforms such as clusters, grids or clouds, accurate and timely predictions of network transfers completion times are needed. We designed a new metrology and performance prediction framework called Pilgrim which offers a service predicting the completion times of current and concurrent TCP transfers. This service uses SimGrid to simulate the network transfers, and we will show some experimental results comparing the predictions obtained from Pilgrim to the real transfer completion times
Prediction of application communication performance on supercomputer networks, without doing actual ...
The paper presents a predictive approach to network resource allocation techniques. The rationale of...
The computational grid is becoming the platform of choice for large-scale distributed data-intensive...
International audienceIn distributed system the knowledge of the network is mandatory to know the av...
The Network Weather Service is a generalizable and extensible facility designed to provide dynamic r...
this paper, we outline its design and detail the predictive performance of the forecasts it generate...
Distributed computing is a very broad and active research area comprising fields such as cluster com...
(eng) In this work we investigate network models that can be potentiallyemployed in the simulation o...
In high performance distributed computing applications, data movements havedemanding performance req...
In high performance distributed computing applications, data movements have demanding performance re...
Abstract—In this paper, we present the design and implementation of an application-layer data throug...
With the increasing number of geographically dis-tributed scientific collaborations and the growing ...
International audienceDistributed computing is a very broad and active research area comprising fiel...
In this paper we present a scalable protocol for conducting periodic probes of network performance i...
The computational grid is becoming the platform of choice for large-scale distributed data-intensive...
Prediction of application communication performance on supercomputer networks, without doing actual ...
The paper presents a predictive approach to network resource allocation techniques. The rationale of...
The computational grid is becoming the platform of choice for large-scale distributed data-intensive...
International audienceIn distributed system the knowledge of the network is mandatory to know the av...
The Network Weather Service is a generalizable and extensible facility designed to provide dynamic r...
this paper, we outline its design and detail the predictive performance of the forecasts it generate...
Distributed computing is a very broad and active research area comprising fields such as cluster com...
(eng) In this work we investigate network models that can be potentiallyemployed in the simulation o...
In high performance distributed computing applications, data movements havedemanding performance req...
In high performance distributed computing applications, data movements have demanding performance re...
Abstract—In this paper, we present the design and implementation of an application-layer data throug...
With the increasing number of geographically dis-tributed scientific collaborations and the growing ...
International audienceDistributed computing is a very broad and active research area comprising fiel...
In this paper we present a scalable protocol for conducting periodic probes of network performance i...
The computational grid is becoming the platform of choice for large-scale distributed data-intensive...
Prediction of application communication performance on supercomputer networks, without doing actual ...
The paper presents a predictive approach to network resource allocation techniques. The rationale of...
The computational grid is becoming the platform of choice for large-scale distributed data-intensive...