By Allan Borodin (auth.), Siu-Wing Cheng, Chung Keung Poon (eds.)
This e-book constitutes the refereed complaints of the second one foreign convention on Algorithmic elements in info and administration, AAIM 2006, held in Hong Kong, China in June 2006.
The 34 revised complete papers provided including abstracts of two invited talks have been conscientiously reviewed and chosen from 263 submissions. The papers conceal subject matters from components corresponding to on-line scheduling, video game and finance, facts buildings and algorithms, computational geometry, optimization, graph, and string.
Read Online or Download Algorithmic Aspects in Information and Management: Second International Conference, AAIM 2006, Hong Kong, China, June 20-22, 2006. Proceedings PDF
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Extra info for Algorithmic Aspects in Information and Management: Second International Conference, AAIM 2006, Hong Kong, China, June 20-22, 2006. Proceedings
Chrobak, W. Jawor, J. Sagll, T. Tichy. Online schedulig of equal-length jobs: randomization and restarts help. In Proc. 31st International Colloquium on Automata, Languages, and Programming (ICALP), LNCS 3142, pages 358-370, 2004. 3. H. Goldwasser. Patience is a virtue: the eﬀect of slack on competitiveness for admission control. In Proc. 10th ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 396-405, 1999. 4. H. Goldwasser and B. Kerbikov. Admission control with immediate notiﬁcation. Journal of Scheduling 6: 269-285, 2003.
According to the algorithm, P (s∗ ) cannot aﬀect the conﬁguration of schedule of the algorithm on job set I1 \P (s∗ ), so if I1 \P (s∗ ) is a counterexample we derive a smaller counterexample than I, it is a contradiction; if it is not, then we construct I from I. We change the release time of jobs in P (s∗ ) into s∗ and omit all the jobs arrived before s∗ ; For other jobs in I , it is the same as the jobs in I. Then we get a smaller counterexample I than I. It is a contradiction. Lemma 5. If ai = 0, i = 1, .
The oﬀ-line server arrives at position T at time T and delivers the goods to the destination 2T at time 2T . Then, from time t = 2T onwards a request is presented with the source position t and the destination position t + T at each time (2 + i)T (i = 0, 1, 2, . ). The oﬀ-line server can serve all the requests whereas the online server is not able to complete any of them. 1 FCFS Algorithm in the Uniform Metric Space The FCFS algorithm works as follows. The online server always goes to the source of the request ﬁrstly that has been presented for the longest time among all yet unserved requests, getting the information on the destination and picking up the goods, then delivering them to the destination.
Algorithmic Aspects in Information and Management: Second International Conference, AAIM 2006, Hong Kong, China, June 20-22, 2006. Proceedings by Allan Borodin (auth.), Siu-Wing Cheng, Chung Keung Poon (eds.)