The paper brie.y presents the architecture of a multi-agent computing system with an emphasis on di.usion scheduling. Two binding energy formulas used by the di.usion scheduling algorithm are introduced: one respecting only requirements for the CPU and memory, and a second also utilizing the requirement for inter-agent communication. Two pairs of experiments with irregular parallel computations are presented with comparative results showing the e.ciency in respect to inter-agent communication in both local and wide area networks
We survey different models, techniques, and some recent results to tackle machine scheduling problem...
Abstract: "This paper studies the relationship between parallel computation cost and communication c...
This paper tackles the problem of parallelizing heterogeneous computational tasks across a number of...
The emergence of distributed artificial intelligent (DAI) introduced a new approach to solve schedul...
The paper presents a mathematical model of a computing multi-agent system. The dynamics of a MAS is ...
In this paper we discuss intelligent agent support for parallel and distributed computing in a heter...
Multi-agent task allocation problems pervade a wide range of real-world applications, such as search...
This thesis describes my PHD work carried out within the computer science and operations research gr...
The focus of many Artificial Intelligence approaches to solving the computer-based scheduling proble...
Scheduling involves the allocation of limited resources to tasks over time. Due to the high complexi...
International audienceScheduling problems in which agents (users, customers, application masters, re...
Abstract—In distributed real-time systems, both computation and communication are critical factors. ...
International audienceScheduling problems in which agents (users, customers, application masters, re...
Distributed computing systems aim to connect human and information resources in a transparent, open ...
In this study, we consider a scheduling environment with m(m ≥ 1) parallel machines. The s...
We survey different models, techniques, and some recent results to tackle machine scheduling problem...
Abstract: "This paper studies the relationship between parallel computation cost and communication c...
This paper tackles the problem of parallelizing heterogeneous computational tasks across a number of...
The emergence of distributed artificial intelligent (DAI) introduced a new approach to solve schedul...
The paper presents a mathematical model of a computing multi-agent system. The dynamics of a MAS is ...
In this paper we discuss intelligent agent support for parallel and distributed computing in a heter...
Multi-agent task allocation problems pervade a wide range of real-world applications, such as search...
This thesis describes my PHD work carried out within the computer science and operations research gr...
The focus of many Artificial Intelligence approaches to solving the computer-based scheduling proble...
Scheduling involves the allocation of limited resources to tasks over time. Due to the high complexi...
International audienceScheduling problems in which agents (users, customers, application masters, re...
Abstract—In distributed real-time systems, both computation and communication are critical factors. ...
International audienceScheduling problems in which agents (users, customers, application masters, re...
Distributed computing systems aim to connect human and information resources in a transparent, open ...
In this study, we consider a scheduling environment with m(m ≥ 1) parallel machines. The s...
We survey different models, techniques, and some recent results to tackle machine scheduling problem...
Abstract: "This paper studies the relationship between parallel computation cost and communication c...
This paper tackles the problem of parallelizing heterogeneous computational tasks across a number of...