کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
437790 690185 2009 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Online scheduling on two uniform machines to minimize the makespan
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
Online scheduling on two uniform machines to minimize the makespan
چکیده انگلیسی

We consider two problems of online scheduling on two uniform machines: online scheduling under a grade of service (GoS) and online scheduling with reassignment. These problems are online in the sense that when a job presents, we have to irrevocably assign it to one of the machines before the next job is seen. The objective is to minimize the makespan.In the first problem, GoS means that some jobs have to be processed by some machine so that they can be guaranteed a higher quality. Assume that the speed of the higher GoS machine is normalized to 1, while the speed of the other one is s. We show that a lower bound of competitive ratio is in the case 01. Then we propose and analyze two online algorithms: HSF algorithm and EX-ONLINE algorithm. HSF is optimal in the case where s>1 and , where Σ1 and Σ2 denote the total processing time of jobs which request higher GoS machine and the total processing time of jobs which request the normal one, respectively. EX-ONLINE is optimal in the case .In the second problem, we study two subproblems PL and PA proposed in [Z. Tan, S. Yu, Online scheduling with reassignment, Operations Research Letters 36 (2008) 250–254]. Assume that the speeds of 2 uniform machines are 1 and s≥1, respectively. For PL where we can reassign the last k jobs of the sequence, we show a lower bound of competitive ratio . For PA where we can reassign arbitrary k jobs, we show a lower bound of competitive ratio . We propose a -competitive algorithm HSF-1 for both PL and PA. For PA, we propose a -competitive algorithm EX-RA, which is superior to HSF-1 when .

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Theoretical Computer Science - Volume 410, Issues 21–23, 17 May 2009, Pages 2099-2109