Abstract. Let us consider an upper bounded number of data streams to be pro-cessed by a Divisible Load application. The total workload is unknown and the available speeds for communicating and computing may be poorly a priori esti-mated. This paper presents a resource selection method that aims at maximizing the throughput of this processing. From a set of processing units linked by a net-work, this method consists in forming an optimal set of master-workers clusters. Results of simulations are presented to assess the efficiency of this method exper-imentally. Before focusing on the proposed resource selection method, the paper comes back on the adaptive scheduling method on which it relies
(ENG) In this report we demonstrate the potential utility of resource allocation management systems ...
A multitenant Storm cluster runs multiple stream processing applications and uses the default Isolat...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...
Abstract *. We investigate the problem arising in scheduling parallel applications that follow a mas...
Conventional divisible load scheduling algorithms attempt to achieve optimal partitioning of massive...
This paper addresses workload allocation techniques for clusters of computers. The workload in quest...
Emerging architecture designs include tens of processing cores on a single chip die; it is believed ...
AbstractIn this paper, we present slot selection algorithms in economic models for independent job b...
Ph.D. University of Hawaii at Manoa 2010.Includes bibliographical references.This research focuses o...
The beginning of XXI century brought dynamic rise in popularity of the Internet. It was connected wi...
International audienceIn this paper, we present an adaptive method for scheduling parallel applicati...
International audienceIn this paper, we discuss several algorithms for scheduling divisible loads on...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...
Abstract — Cluster computing is an innovative technology which broadens horizons in whole world busi...
In this paper we present a scheduling strategy for workstation clusters able to effectively and fair...
(ENG) In this report we demonstrate the potential utility of resource allocation management systems ...
A multitenant Storm cluster runs multiple stream processing applications and uses the default Isolat...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...
Abstract *. We investigate the problem arising in scheduling parallel applications that follow a mas...
Conventional divisible load scheduling algorithms attempt to achieve optimal partitioning of massive...
This paper addresses workload allocation techniques for clusters of computers. The workload in quest...
Emerging architecture designs include tens of processing cores on a single chip die; it is believed ...
AbstractIn this paper, we present slot selection algorithms in economic models for independent job b...
Ph.D. University of Hawaii at Manoa 2010.Includes bibliographical references.This research focuses o...
The beginning of XXI century brought dynamic rise in popularity of the Internet. It was connected wi...
International audienceIn this paper, we present an adaptive method for scheduling parallel applicati...
International audienceIn this paper, we discuss several algorithms for scheduling divisible loads on...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...
Abstract — Cluster computing is an innovative technology which broadens horizons in whole world busi...
In this paper we present a scheduling strategy for workstation clusters able to effectively and fair...
(ENG) In this report we demonstrate the potential utility of resource allocation management systems ...
A multitenant Storm cluster runs multiple stream processing applications and uses the default Isolat...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...