In this paper, we examine the concept of giving every job a trial run before committing it to run until completion. Trial runs allow immediate job failures to be detected shortly a...
Ojaswirajanya Thebe, David P. Bunde, Vitus J. Leun...
This paper presents improved approximation algorithms for the problem of multiprocessor scheduling under uncertainty (SUU), in which the execution of each job may fail probabilist...
Christopher Y. Crutchfield, Zoran Dzunic, Jeremy T...
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Abstract. Scheduling jobs on unrelated parallel machines so as to minimize the makespan is one of the basic, well-studied problems in the area of machine scheduling. In the first ...
We study how to efficiently schedule online perfectly malleable parallel jobs with arbitrary arrival times on m 2 processors. We take into account both the linear speedup of such...