Capacity planning and routing algorithms for telecommunication networks통신망의 용량계획 및 경로설정에 관한 연구

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dc.contributor.advisorPark, Sung-Soo-
dc.contributor.advisor박성수-
dc.contributor.authorKang, Jang-Ha-
dc.contributor.author강장하-
dc.date.accessioned2011-12-14T02:39:37Z-
dc.date.available2011-12-14T02:39:37Z-
dc.date.issued2002-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=177266&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/40540-
dc.description학위논문(박사) - 한국과학기술원 : 산업공학과, 2002.8, [ vii, 90 p. ]-
dc.description.abstractWe consider several designing and routing problems for capacitated telecommunication networks. We present formulations for the problems and algorithms for them which are based on the integer programming approaches. First, we consider the variable sized bin packing problem which arises in Asynchronous Transfer Mode (ATM) Virtual Path (VP)-based leased line networks. The objective of the problem is to minimize the total cost of used bins when the cost of unit size of each bin does not increase as the bin size increases. Two greedy algorithms are described, and analyzed in three special cases: a) the sizes of items and bins are divisible, respectively, b) only the sizes of bins are divisible, and c) the sizes of bins are not divisible. Here, we say that a list of numbers $a_1, a_2, …, a_m$ are divisible when $a_j$ exactly divides $a_{j-1}$, for each 1 < j ≤ m. In the case of a), the algorithms give optimal solutions, and in the case of b), each algorithm gives a solution whose value is less than $\frac{11}{9}C(B^*) +4\frac{11}{9}$, where $C(B^*)$ is the optimal value. In the case of c), each algorithm gives a solution whose value is less than $\frac{3}{2}C(B^*) +1$. Second, we consider the problem of designing an ATM VP-based leased line backbone network. Given point-to-point communication demands having predefined sizes in a network, the problem is to find configurations of demand routes and link facilities installed on each edge satisfying all demands at minimum cost under some constraints. One of the most important constraints is that a single demand cannot be split over multiple link facilities. This is a sort of bin packing constraint. We propose an integer programming formulation of the problem and an algorithm to solve it. An efficient column generation technique to solve the linear programming relaxation is proposed, and a valid inequality is used to strengthen the integer programming formulation. The algorithm incorporates the column generation techniq...eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectcolumn generation-
dc.subjectInteger programming-
dc.subjectRouting-
dc.subjectNetwork Design-
dc.subjectATM-
dc.subject비동기식 통신망-
dc.subject열생성기법-
dc.subject정수계획법-
dc.subject경로설정-
dc.subject네트웍 설계-
dc.titleCapacity planning and routing algorithms for telecommunication networks-
dc.title.alternative통신망의 용량계획 및 경로설정에 관한 연구-
dc.typeThesis(Ph.D)-
dc.identifier.CNRN177266/325007-
dc.description.department한국과학기술원 : 산업공학과, -
dc.identifier.uid000975005-
dc.contributor.localauthorPark, Sung-Soo-
dc.contributor.localauthor박성수-
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IE-Theses_Ph.D.(박사논문)
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