This research investigates the problem of robust resource allocation for a large class of systems operating on periodically updated data sets under an imposed quality of service (QoS) constraint. Such systems are expected to function in an environment replete with uncertainty where the workload is likely to fluctuate substantially. Determining a resource allocation that accounts for this uncert...

Scheduling can be formalized as a constraint satisfaction problem (CSP). Within this framework activities in a plan are interconnected via temporal relation constraints a la Allen, thereby defining a temporal constraint graph (TCG). Additionally there are capacity constraints restricting the use of each resource to only one activity at a time. Together these constraints form a temporallcapacity...

In distributed resource allocation a set of agents must assign their resources to a set of tasks. This problem arises in many real-world domains such as distributed sensor networks, disaster rescue, hospital scheduling and others. Despite the variety of approaches proposed for distributed resource allocation, a systematic formalization of the problem, explaining the different sources of difficu...

The device for providing consolidation of preferential resource quality of service constraints specified by a source user and adestination user in a communication network has two quality of service translators receiving preferential resource constraintsinput from the source and destination users respectively. The translators translate input QOS requirements, for each of thesourc...

A novel adaptation of impact-based search strategies for constraint-based resource scheduling is presented. Search based on impacts applies a general purpose search strategy originally from Linear Integer Programming and recently adapted to Constraint Programming. To my knowledge it is shown for the first time that this strategy is properly applicable to constraint-based scheduling and performs...

In many decision problems (planning, scheduling, resource allocation), the objective is to find a good solution which satisfies a set of hard (or imperative) constraints, and satisfies as well as possible a set of soft constraints expressing costs, utilities, preferences. Such problems can be referred to as Constraint Optimization Problems, and are often translated to Valued Constraint Satisfac...

This paper presents an experience on solving DCOP instances in a real distributed scenario involving several machines and comparing this process with their solving in a simulator. We extract a number of consequences from this experience, some of them already known while others we consider deserve some attention. We think these results might be found interesting in the Distributed Constraint Rea...

in nigeria, most farming activities rely on family labor. however, rural-urban drift and the movement of young people away from agriculture are making labor increasingly pause. thus, labor has become a major constraint to expanding the scope of production by small-scale resource poor farmers. this paper provides an empirical relationship between labor and poverty using data from households. thr...

in this study, under the constraint of resource-saving and environment-friendliness objective, based on multi-agent genetic algorithm, multi-objective spatial optimization (moso) model for land use allocation was developed from the view of simulating the biological autonomous adaptability to environment and the competitive-cooperative relationship. the model was applied to solve the practical m...

the world health organization’s (who’s) world health report 2010, “health systems financing, the path to universal coverage,” promoted universal health coverage (uhc) as an aspirational objective for country health systems. yet, in addition to the dimensions of services and coverage, distribution of coverage in the population, and financial risk protection highlighted by the report, the conside...