AbstractThe fundamental problems in dynamic load balancing and job scheduling in parallel and distributed networks involve moving load between processors. In this paper we consider a new model for load movement in synchronous machines. In each step of our model, load can be moved across only a matching set of communication links but across each link any amount of load can be moved. We present an efficient local algorithm for the dynamic load balancing problem under our model of load movement. Our algorithm works on networks of arbitrary topology under possible failure of links. The running time of our algorithm is related to the eigenstructure of the underlying graph. We also present experimental results analyzing issues in load balancing r...
This paper presents a theoretical analysis of the asymptotic complexity inherent in a load balancing...
International audienceLoad balancing is a well known problem, which has been extensively addressed i...
In this paper, we analyze the performance of random load resampling and migration strategies in para...
This paper presents a simple local algorithm for load balancing in a distributed network. The algori...
The overall efficiency of parallel algorithms is most decisively effected by the strategy applied fo...
Dynamic load balancing techniques have been shown to be the most critical part of an efficient imple...
Dynamic load balancing techniques have proved to be the most critical part of an efficient implement...
Dynamic load balancing techniques have proved to be the most critical part of an efficient implement...
Load balancing is a powerful technique commonly used in communication and computer networks to impro...
Load balancing is a powerful technique commonly used in communication and computer networks to impro...
We study the long term (steady state) performance of a simple, randomized, local load balancing tech...
International audienceIn this paper, first order diffusion load balancing algorithms for totally dyn...
We study the long term (steady state) performance of a simple, randomized, local load balancing tech...
We study the long-term (steady state) performance of a simple, randomized, local load balancing tech...
This paper presents a theoretical analysis of the asymptotic complexity inherent in a load balancing...
This paper presents a theoretical analysis of the asymptotic complexity inherent in a load balancing...
International audienceLoad balancing is a well known problem, which has been extensively addressed i...
In this paper, we analyze the performance of random load resampling and migration strategies in para...
This paper presents a simple local algorithm for load balancing in a distributed network. The algori...
The overall efficiency of parallel algorithms is most decisively effected by the strategy applied fo...
Dynamic load balancing techniques have been shown to be the most critical part of an efficient imple...
Dynamic load balancing techniques have proved to be the most critical part of an efficient implement...
Dynamic load balancing techniques have proved to be the most critical part of an efficient implement...
Load balancing is a powerful technique commonly used in communication and computer networks to impro...
Load balancing is a powerful technique commonly used in communication and computer networks to impro...
We study the long term (steady state) performance of a simple, randomized, local load balancing tech...
International audienceIn this paper, first order diffusion load balancing algorithms for totally dyn...
We study the long term (steady state) performance of a simple, randomized, local load balancing tech...
We study the long-term (steady state) performance of a simple, randomized, local load balancing tech...
This paper presents a theoretical analysis of the asymptotic complexity inherent in a load balancing...
This paper presents a theoretical analysis of the asymptotic complexity inherent in a load balancing...
International audienceLoad balancing is a well known problem, which has been extensively addressed i...
In this paper, we analyze the performance of random load resampling and migration strategies in para...