—The Job-Shop Scheduling Problem (JSSP) is one of the most critical combinatorial optimization problems. The objective of JSSP in this research is to minimize the makespan. In th...
S. M. Kamrul Hasan, Ruhul A. Sarker, David Cornfor...
The aIOLi project aims at optimizing the I/O accesses within the cluster by providing a simple POSIX API, thus avoiding the constraints to use a dedicated parallel I/O library. Th...
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
The increasing complexity of configurable software systems creates a need for more intelligent sampling mechanisms to detect and locate failure-inducing dependencies between confi...
Adam A. Porter, Myra B. Cohen, Sandro Fouché...
Abstract—Stream processing is widely used by today’s applications such as financial data analysis and disaster response. In distributed stream processing systems, machine fail...
Zhe Zhang, Yu Gu, Fan Ye, Hao Yang, Minkyong Kim, ...