We consider scheduling policies in a client-server system where the server delivers data by broadcasting it to the users. In thesimplest model of the problem, there is a single server that holds n pages of unit size. ...
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We consider scheduling policies in a client-server system where the server delivers data by broadcasting it to the users. In thesimplest model of the problem, there is a single server that holds n pages of unit size. Multiple requests for these pages arrive over time. At each time slot the server broadcasts exactly one page which satisfies all of the outstanding requests for this page at that time. We consider the problem of minimizing the average response time of requests, where the response time of the request is the duration since the request is placed until the time it is satisfied. For the offline version of this problem we give an algorithm with an approximation ratio of O(log(2)(n)/log log(n)). More generally, for any epsilon > 0, the algorithm achieves an average response time of (2 + epsilon) . OPT + O(log n . log(1 + epsilon)(n)), which is useful when the optimum value is large. This substantially improves the previously best known approximation factor of O(root n) for the problem [N. Bansal, M. Charikar, S. Khanna, and J. Naor, Proceedings of the Sixteenth Annual ACM-SIAM Symposium on Discrete algorithms, Vancouver, British Columbia, ACM, New York, SIAM, Philadelphia, 2005, pp. 215 - 221]. Our result is based on iteratively relaxing and rounding an auxiliary linear program derived from a natural linear programming relaxation of the problem.
We consider the following network design problem;Given a vertex set V with a metric cost c on V, an integer ka parts per thousand yen1, and a degree specification b, find a minimum cost k-edge-connected multigraph on ...
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ISBN:
(纸本)9783540695134
We consider the following network design problem;Given a vertex set V with a metric cost c on V, an integer ka parts per thousand yen1, and a degree specification b, find a minimum cost k-edge-connected multigraph on V under the constraint that the degree of each vertex vaV is equal to b(v). This problem generalizes metric TSP. In this paper, we show that the problem admits a rho-approximation algorithm if b(v)a parts per thousand yen2, vaV, where rho=2.5 if k is even, and rho=2.5+1.5/k if k is odd. We also prove that the digraph version of this problem admits a 2.5-approximation algorithm and discuss some generalization of metric TSP.
We consider the problem of optimizing a nonlinear objective function over a weighted independence system presented by a linear optimization oracle. We provide a polynomial-time algorithm that determines an r-best solu...
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ISBN:
(纸本)9783642021572
We consider the problem of optimizing a nonlinear objective function over a weighted independence system presented by a linear optimization oracle. We provide a polynomial-time algorithm that determines an r-best solution for nonlinear functions of the total weight of an independent set, where r is a constant depending on certain Frobenius numbers of the weights and is independent of the size of the ground set. In contrast, we show that finding an optimal (0-best) solution requires exponential time even in a very special case of the problem.
Broadcasting/Multicasting problems have been well studied in wireless ad hoc networks. However, only a few approaches take into account the low interference and energy efficiency as the optimization objective simultan...
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ISBN:
(纸本)9781424451142
Broadcasting/Multicasting problems have been well studied in wireless ad hoc networks. However, only a few approaches take into account the low interference and energy efficiency as the optimization objective simultaneously. In this paper, we study the interference and power constrained broadcast/multicast and the delay-bounded interference and power constrained broadcast/multicast routing problems in wireless ad hoc networks using directional antennas. We propose an approximation and a heuristic algorithm for the two problems, respectively. Importantly, motivated by the study of above optimization problems, we propose approximation schemes for two multi-constrained directed Steiner tree problems, respectively. Broadcast/Multicast message by using the trees found by our algorithms tend to have less channel collisions and higher network throughput. The theoretical results are corroborated by simulation studies.
In this paper, we consider the scheduling with rejection. The objective functions are to minimize the maximum completion time of the processed ones when the total compression cost is given. Firstly, we prove that the ...
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ISBN:
(纸本)9783642020254
In this paper, we consider the scheduling with rejection. The objective functions are to minimize the maximum completion time of the processed ones when the total compression cost is given. Firstly, we prove that the problem 1 vertical bar rej vertical bar C(max)/TCP is NP-hard, which implying that P(m)vertical bar rej vertical bar C(max)/TCP, 1 vertical bar rej, r(j)vertical bar C(max)/TCP, 1 vertical bar rej, on - line vertical bar C(max)/TCP are all NP-hard. Secondly, for problem P(m)vertical bar rej vertical bar C(max)/TCP we design a pseudopolynomial time dynamic programming algorithm that solves it exactly and an FPTAS (full polynomial time approximation scheme) when,in is a constant. We also design a pseudopolynomial time dynamic programming algorithm and an FPTAS for the case of non-identical job arrival problem 1 vertical bar rej, r(j)vertical bar C(max)/TCP. In the end, we consider the on-line problem 1 vertical bar rej, on - line vertical bar C(max)/TCP and prove that there doesn't exist any on-line algorithm with a constant competitive ratio for it, even if the jobs only have two different release times.
Many problems have posed in the art gallery theorem. Most of them are NP-hard. In this paper, we pose the new problem of Guarding strategic points of a gallery. Given a polygon P with n vertices and m strategic points...
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ISBN:
(纸本)9780769538921
Many problems have posed in the art gallery theorem. Most of them are NP-hard. In this paper, we pose the new problem of Guarding strategic points of a gallery. Given a polygon P with n vertices and m strategic points which are in that polygon, determine minimum number of guards for guarding the strategic points. In this paper, we present approximation algorithms for point, vertex and edge guard versions of this new problem.
The node-weighted Steiner tree problem is a variation of classical Steiner minimum tree problem. Given a graph G = (V, E) with node weight function C : V --> R+ and a subset X of V, the node-weighted Steiner tree p...
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ISBN:
(纸本)9783642020254
The node-weighted Steiner tree problem is a variation of classical Steiner minimum tree problem. Given a graph G = (V, E) with node weight function C : V --> R+ and a subset X of V, the node-weighted Steiner tree problem is to find a Steiner tree for the set X such that its total weight is minimum. In this paper, we study this problem in unit disk graphs and present a (1+epsilon)-approximation algorithm for any epsilon > 0, when the given set of vertices is c-local. As an application, we use node-weighted Steiner tree to solve the node-weighted connected dominating set problem in unit disk graphs and obtain a (5+epsilon)-approximation algorithm.
Let G = (V, E) be a graph which models a set of wireless devices (nodes V) that can communicate by means of multiple radio interfaces, according to proximity and common interfaces (edges E). In general, every node hol...
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ISBN:
(纸本)9783642009440
Let G = (V, E) be a graph which models a set of wireless devices (nodes V) that can communicate by means of multiple radio interfaces, according to proximity and common interfaces (edges E). In general, every node holds a subset of all the possible k interfaces. Such networks are known as multi-interface networks. In this setting, we study a basic problem called Connectivity, corresponding to the well-known Minimum Spanning Tree problem in graph theory. In practice, we need to cover a subgraph of G of minimum cost which contains a spanning tree of G. A connection is covered (activated) when the endpoints of the corresponding edge share at least one active interface. The connectivity problem turns out to be APX-hard in general and for many restricted graph classes, however it is possible to provide approximation algorithms: 2-approximation in general and (2-1/k)-approximation for unit cost interfaces. We also consider the problem in special graph classes, such as graphs of bounded degree, planar graphs, graphs of bounded treewidth, complete graphs.
The actual financial time series is random walk process which is biased, and has significant fractal features and long-term memory effect. Research results also show the existence of low dimension chaos in stock marke...
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ISBN:
(纸本)9781424439706
The actual financial time series is random walk process which is biased, and has significant fractal features and long-term memory effect. Research results also show the existence of low dimension chaos in stock market. Fractal dimension is the salient features of stock market chaos, and the next integer larger than correlation dimension is the number of the independent system variable which is required by setting up the system dynamics model. In this paper, we get the fractal dimension of Shanghai stock market through function approximation algorithm of RBF neural networks and discuss the influence of sample size and growth trend. It provides a measurement method for fractal dimension.
The maximum planar subgraph problem (MPS) is defined as follows: given a graph G, find a largest planar subgraph of G. The problem is NP-hard and it has applications in graph drawing and resource location optimization...
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The maximum planar subgraph problem (MPS) is defined as follows: given a graph G, find a largest planar subgraph of G. The problem is NP-hard and it has applications in graph drawing and resource location optimization. Calinescu et al. [J. Alg. 27, 269-302 (1998)] presented the first approximation algorithms for MPS with nontrivial performance ratios. Two algorithms were given, a simple algorithm which runs in linear time for bounded-degree graphs with a ratio 7/18 and a more complicated algorithm with a ratio 4/9. Both algorithms produce outerplanar subgraphs. In this article we present two new versions of the simpler algorithm. The first new algorithm still runs in the same time, produces outerplanar sub graphs, has at least the same performance ratio as the original algorithm, but in practice it finds larger planar subgraphs than the original algorithm. The second new algorithm has similar properties to the first algorithm, but it produces only planar subgraphs. We conjecture that the performance ratios of our algorithms are at least 4/9 for MPS. We experimentally compare the new algorithms against the original simple algorithm. We also apply the new algorithms for approximating the thickness and outerthickness of a graph. Experiments show that the new algorithms produce clearly better approximations than the original simple algorithm by Calinescu et al.
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