In this paper, we study the problem of cost constrained fixed job scheduling (CCFJS). In this problem, there are a number of processors, each of which belongs to one of several cla...
—Throughput optimization in wireless networks with multiple channels and multiple radio interfaces per node is a challenging problem. For general traffic models (given a set of ...
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Abstract—Radio frequency identification (RFID) is a technology where a reader device can “sense” the presence of a closeby object by reading a tag device attached to the obj...
Zongheng Zhou, Himanshu Gupta, Samir R. Das, Xianj...
We consider scheduling problems in which a job consists of components of different types to be processed on m machines. Each machine is capable of processing components of a singl...