We consider large volume job shop scheduling problems, in which there is a fixed number of machines, a bounded number of activities per job, and a large number of jobs. In large v...
Abstract— Time-critical jobs in many real-time applications have multiple feasible intervals. Such a job is constrained to execute from start to completion in one of its feasible...
Jian-Jia Chen, Jun Wu, Chi-Sheng Shih, Tei-Wei Kuo
Abstract. Most two-dimensional methods for wavelet shrinkage are efficient for edge-preserving image denoising, but they suffer from poor rotation invariance. We address this pro...
Parallel dataflow programming frameworks such as Map-Reduce are increasingly being used for large scale data analysis on computing clouds. It is therefore becoming important to a...
We consider the problem of scheduling jobs on a pool of machines. Each job requires multiple machines on which it executes in parallel. For each job, the input specifies release ti...
Venkatesan T. Chakaravarthy, Vinayaka Pandit, Yogi...