With pondered task assignment methods which utilize the dynamic state of the grid resources to solve task-to-processor mappings, an important problem arises from the difficulty of collecting the information from the remote nodes. In this paper we show that with the use of the force field method for task assignment, the information collection is not a problem and the method outperforms random no...

Crowdsensing has attracted more and more attention in recent years, which can help companies or data demanders to collect large amounts of data efficiently and cheaply. In a crowdsensing system, the sensing tasks are divided into many small sub-tasks that can be easily accomplished by smartphone users, and the companies take advantage of the data collected by all the smartphone users to improve...

In this paper, we consider task assignment problem in a cluster of servers. We show that optimal static task assignment is tantamount to equalizing an appropriate cost functions associated with the servers. We also propose an improvement of dynamic Shortest Expected Delay (SED) task assignment policy.

Multirobot path planning and task assignment are traditionally treated separately, however task assignment can greatly impact the difficulty of the path planning problem, and the ultimate quality of solution is dependent upon both. We introduce task reassignment, an approach to optimally solving the coupled task assignment and path planning problems. We show that task reassignment improves solu...

We extend the classical linear assignment problem to the case where the cost of assigning agent j to task i is a multiplication of task i’s cost parameter by a cost function of agent j. The cost function of agent j is a linear function of the amount of resource allocated to the agent. A solution for our assignment problem is de…ned by the assignment of agents to tasks and by a resource allocati...

data visualization is the process of transforming data, information, and knowledge into visual form, making use of humans’ natural visual capabilities which reveals relationships in data sets that are not evident from the raw data, by using mathematical techniques to reduce the number of dimensions in the data set while preserving the relevant inherent properties. in this paper, we formulated d...