This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
—Opportunistic scheduling in random beamforming maximizes the sum-rate by allocating resources to the users with the best channel condition, thus leveraging on multiuser diversit...
This paper proposes a scheduling strategy and an automatic scheduling flow that enable the simultaneous execution of multiple hard-real-time dataflow jobs. Each job has its own ...
In this paper, we present a parallel transmission architecture for SAN. By using two schedulers on the destination and source addresses of packets, the load of multiple data flows...
To achieve superior performance levels when working with heterogeneous distributed platforms, processscheduling decisions must be based essentially on the platform’s features an...
Kalinka Regina Lucas Jaquie Castelo Branco, Edward...