In this paper, we consider the on-line scheduling of unit time jobs with rejection on rn identical parallel machines. The objective is to minimize the total completion time of the accepted jobs plus the total penalty ...
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In this paper, we consider the on-line scheduling of unit time jobs with rejection on rn identical parallel machines. The objective is to minimize the total completion time of the accepted jobs plus the total penalty of the rejected jobs. We give an on-line algorithm for the problem with competitive ratio 1/2 (2 +√3) ≈ 1.86602.
In this paper we consider an on-line scheduling problem, where jobs with similar processing times within [1, r] arrive one by one to be scheduled in an on-line setting on two identical parallel processors without pree...
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In this paper we consider an on-line scheduling problem, where jobs with similar processing times within [1, r] arrive one by one to be scheduled in an on-line setting on two identical parallel processors without preemption. The objective is to nlinimize makespan. We devise a randomized on-line algorithm for this problem along with a lower bound.
The theory of cyclostationarity provides many valuable tools for fault detection in rotating machines. Cyclostationarity indicators and bi-frequency maps help to quantify fault-related modulations of vibration signals...
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The theory of cyclostationarity provides many valuable tools for fault detection in rotating machines. Cyclostationarity indicators and bi-frequency maps help to quantify fault related modulations of vibration signals...
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The theory of cyclostationarity provides many valuable tools for fault detection in rotating machines. Cyclostationarity indicators and bi-frequency maps help to quantify fault related modulations of vibration signals. High quality and robustness of these tools are achieved at a relatively high computational cost. Thus, industrial application of cyclostationarity is limited to off-line analysis in the post-processing stage. In this paper an on-line updating of cyclostationary tools is investigated alternatively to the moving block approach. As an exemplary cyclostationary tool the cyclic modulation spectrum is involved. The filter bank approach is proposed in order to carry out the sample-by-sample updating. We compare properties of the newly proposed method with the one based on sliding discrete Fourier transform. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
We first study the competitive ratio for the on-line version of the problem of finding a maximum-order induced subgraph satisfying some hereditary property, under the hypothesis that the input graph is revealed by clu...
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An on-line mining of a data stream consisting of huge transactions is still a quite difficult computation problem because of an explosion of frequent itemsets. In this paper, we study a problem for mining the closed i...
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ISBN:
(纸本)9781538656051
An on-line mining of a data stream consisting of huge transactions is still a quite difficult computation problem because of an explosion of frequent itemsets. In this paper, we study a problem for mining the closed itemsets greater than or equal to size K. We give an on-line approximation algorithm, which is based on incremental intersection of transactions and rejection of closed itemsets less than size K. A closed itemset greater than or equal to size K has an intermediate property between a maximal itemset and an ordinary closed itemset. We use such a framework in order to partially solve an explosion problem in closed itemset mining. We study some theoretical properties, such as an incompleteness for frequent closed itemsets and a completeness of frequent itemsets of the on-line approximation algorithm. We also show preliminary experimental results for evaluating the performance of the proposed on-line algorithm.
Using natural numbers for identifying chains, First-Fit algorithm processes elements of a poset P in some order and for each element it assigns the smallest natural number such that all elements with the same number f...
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We study a new variant of on-line bin packing problem, in which each item a(i) is associated with a size a(i) and also a release time r(i) so that it must be placed at least r(i) above from the bottom of a bin. Items ...
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ISBN:
(纸本)9783540744498
We study a new variant of on-line bin packing problem, in which each item a(i) is associated with a size a(i) and also a release time r(i) so that it must be placed at least r(i) above from the bottom of a bin. Items arrive in turn and must be assigned without any knowledge of subsequence items. The goal is to pack all items into unit-size bins using the minimum number of bins. We study the problem with all items have equal size. First, we show that the ANY FIT algorithm cannot be approximated within any constant. Then we present a best possible on-line algorithm with asymptotic competitive ratio of 2.
Network virtualization allows the design of multiple diverse virtual overlay network architectures over a common physical infrastructure. A key issue in designing such virtual networks (VN) is the mapping of the VN on...
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ISBN:
(纸本)9781849194716
Network virtualization allows the design of multiple diverse virtual overlay network architectures over a common physical infrastructure. A key issue in designing such virtual networks (VN) is the mapping of the VN onto the underlying substrate network. Accordingly, many research works have focused on the VN mapping problem. However, these works only consider the case where the VNs require deterministic amount of network resources. Some other works even deal with the dynamic resource demand by using over provisioning, which is simple but inefficient. In this paper, we investigate the online stochastic VN mapping (StoVNM) problem in multi-datacenters, in which the VN requests follow a Poisson distribution and the associate VN bandwidth demands follow a Normal distribution. We formulate the StoVNM problem as an optimization problem with the objective of minimizing mapping cost and load-balancing. Since the VN mapping problem is NP-hard we devise a sliding window technique based on heuristic algorithm w-StoVNM for tackling this NP-hard problem efficiently. Through extensive simulations we demonstrate the effectiveness of the proposed approach compared to traditional VN mapping solutions in terms of VN mapping cost, blocking ratio and total net revenue in the long term.
In this paper, we study a new on-line scheduling problem that each server has to process a monotonous request subsequence. The customer requests are released over-list, and the operator has to decide whether or not to...
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ISBN:
(数字)9783319596051
ISBN:
(纸本)9783319596051;9783319596044
In this paper, we study a new on-line scheduling problem that each server has to process a monotonous request subsequence. The customer requests are released over-list, and the operator has to decide whether or not to accept the current request and arrange it to a server immediately. The goal of this paper is to find a strategy which accepts the maximal requests. When the number of servers k is less than that of the request types m, we give several lower bounds for this problem. Also, we present the optimal strategy for k = 1 and k = 2 respectively.
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