Designing simple and efficient network protection mechanism is an important requirement of optical networks, which is a challenging task for large mesh networks. We extend our previous work on Hamiltonian cycle protec...
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Designing simple and efficient network protection mechanism is an important requirement of optical networks, which is a challenging task for large mesh networks. We extend our previous work on Hamiltonian cycle protection to large-scale multiple domain inhomogeneous optical networks. We proposed two protection schemes with different trade-off between spare resource usage and failure isolation. Our proposed schemes are simple and competitive in network resource usage.
Efficient planning and optimization of wavelength division multiplexing networks is an important issue today. integer linear programming (ILP) is the most used exact method to perform this task. We propose a new ILP f...
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Efficient planning and optimization of wavelength division multiplexing networks is an important issue today. integer linear programming (ILP) is the most used exact method to perform this task. We propose a new ILP formulation that allows to solve optimization with less computational effort compared to other ILP approaches. This formulation applies to multifiber mesh networks with or without wavelength conversion, when either the total fiber number or the total fiber length is the cost function to be minimized. After presenting the formulation we discuss the results we obtained by exploiting it in the optimization of two case-study networks.
The efficiency of wavelength utilization of two failure protection methods in wavelength-routed optical networks: rerouting and reconfiguration, is investigated. Wavelength reusability /spl rho/, is introduced as an e...
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ISBN:
(纸本)0780374908
The efficiency of wavelength utilization of two failure protection methods in wavelength-routed optical networks: rerouting and reconfiguration, is investigated. Wavelength reusability /spl rho/, is introduced as an evaluation criteria. Routing and wavelength assignment (RWA) problem for failure protection is formulated as integer linear programming (ILP) equations, heuristic algorithms are also developed and detailed numerical results are presented and discussed.
We have developed a generic integer linear programming(ILP)-based engineering change(EC) methodology. The EC methodology has three components: enabling, fast, and preserving. Enabling EC provides a user with the means...
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ISBN:
(纸本)9781581134612
We have developed a generic integer linear programming(ILP)-based engineering change(EC) methodology. The EC methodology has three components: enabling, fast, and preserving. Enabling EC provides a user with the means to specify the amount of flexibility and how this flexibility should be distributed throughout the solution so that one can guarantee that a specific set of EC demands can be satisfied while preserving the quality of the initially obtained solution. Fast EC conducts changes in a fraction of the time needed to solve the problem while preserving or in some cases improving the quality of the initial solution. Preserving EC maintains either user specified components of the solution or as much as possible of the initial solution while still guaranteeing an optimal solution to the altered problem instance. We applied the generic methodology to Boolean Satisfiability (SAT) problem. The effectiveness of all proposed approaches and algorithms is demonstrated on standard benchmarks.
In this paper, we present a novel design procedure for multi-module, multi-port memory design that satisfies area and/or energy/timing constraints. Our procedure consists of (i) use of storage bandwidth optimization (...
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In this paper, we present a novel design procedure for multi-module, multi-port memory design that satisfies area and/or energy/timing constraints. Our procedure consists of (i) use of storage bandwidth optimization (SBO) techniques to simplify the conflict graph and (ii) use of memory exploration techniques to determine the best memory configuration (number of modules, size and number of ports per module) with the minimum area if the energy and timing are bounded or with the minimum energy/timing if the area is bounded. Here the simplest conflict graph implies more possibilities for the arrays assigned to the same module without the penalty in an increase of the number of ports for each module. Our benchmark shows that the heuristic algorithm is very efficient to decide the best memory configuration for the system constraints (timing, area, or energy). In addition, the CACTI tool (Premkishore Shivakumar and N.P. Jouppi, 2001) is modified to estimate the timing, area, and energy for each module in different CMOS technologies (0.8 /spl mu/m, 0.35 /spl mu/m, and 0.18 /spl mu/m). Furthermore, we consider the lifetime for arrays; this results in significant reduction in timing, area, and energy for the arrays executed in different cycles sharing the same memory module.
The problem of weighted hypergraph embedding in a cycle (WHEC) is to embed the weighted hyperedges of a hypergraph as the paths in a cycle, such that the maximum congestion of any physical link in the cycle is minimiz...
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The problem of weighted hypergraph embedding in a cycle (WHEC) is to embed the weighted hyperedges of a hypergraph as the paths in a cycle, such that the maximum congestion of any physical link in the cycle is minimized. A simpler version of this problem is the weighted graph embedding in a cycle (WGEC) that embeds the weighted edges of a normal graph as the paths in a cycle. The WHEC and WGEC problems have applications in design automation, parallel computing and computer communication. In this paper we first show that both WHEC and WGEC problems are NP-Complete. Afterwards we formulate the WHEC problem as an integer linear programming (ILP). Therefore, an approximation solution can be obtained by using LP-relaxation and rounding heuristic. Our LP-approximation algorithm generates an embedding with congestion at most two times the optimal solution. Finally, to guarantee the efficiency, we develop a linear-time approximation algorithm that also provides a solution with the same worst case approximation bound as the LP-approximation.
Local scattering parts on smooth convex object elements make the most important contribution to reflected signal energy. So, the surface parts of complex shape objects are coated with a radioabsorbing materials (RM) f...
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Local scattering parts on smooth convex object elements make the most important contribution to reflected signal energy. So, the surface parts of complex shape objects are coated with a radioabsorbing materials (RM) for camouflage purposes. As a rule, the radioabsorbing coating (RC) has sizeable weight and cost. The optimal coating method for the reduction of radar cross-section (RCS) has been obtained for certain illumination and reception directions under limiting conditions for the quantity of RC used. An optimal coating has been realized by solving an integer linear programming problem. Using this method, we present RCS numerical results for a reductive aircraft model partly coated by RM.
Presents a mathematical model for the problem of scheduling tests for core-based system-on-chip (SOC) VLSI designs. Given a set of tests for each core in the SOC and a set of test resources (e.g., test access mechanis...
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ISBN:
(纸本)0769514413
Presents a mathematical model for the problem of scheduling tests for core-based system-on-chip (SOC) VLSI designs. Given a set of tests for each core in the SOC and a set of test resources (e.g., test access mechanisms (TAM)), we determine the test plan for the application of the tests to the SOC. Test planning in this paper refers to the combined activities of test access architecture partitioning and test scheduling. These activities must be performed in conjunction as the choice of the test access architecture influences the test schedule. We justify the formulation of test scheduling w.r.t. minimum average completion time criterion as compared to minimum makespan. We show that then the problem of scheduling tests on TAMs can be mapped onto a graph theoretic problem which has a polynomial time optimal solution. We have implemented our algorithm as a test planner tool TPLAN. We present the theoretical analysis of our approach in this paper and compare our results against those published earlier using integer linear programming techniques with encouraging results.
The effect of disturbances to task execution in manufacturing cells can be minimized by control. A rule-based and an optimization-based controller is developed for a production-line at Odense Steel Shipyard and implem...
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The effect of disturbances to task execution in manufacturing cells can be minimized by control. A rule-based and an optimization-based controller is developed for a production-line at Odense Steel Shipyard and implemented in a computer-based simulation model. The differences in performance between the two controllers is found in a two-level five factor factorial experiment. The simulations show that on average the optimization-based controller is 2-5% better than the rule-based controller. It is also shown that the rule-based controller is generally more sensitive to changes in parameters on the production-line.
The optimal assignment of radio channels to base stations, subject to bandwidth and other constraints, is a non-polynomial-complete problem. The known exact solution approaches to the problem are strictly limited by t...
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ISBN:
(纸本)0780373766
The optimal assignment of radio channels to base stations, subject to bandwidth and other constraints, is a non-polynomial-complete problem. The known exact solution approaches to the problem are strictly limited by the size of the problem to be solved. In order to solve optimally this problem, an efficient methodology is proposed. The underlying principle of the proposed methodology is to decompose an intractable channel assignment problem into several small-size, weakly interconnected sub-problems. Each sub-problem so obtained is formulated as a binary integer linear programming (BILP) problem. The set of small-size BILP problems so developed is then solved using a sequential branch and bound algorithm. Experimental evaluations using benchmark problems confirm that the proposed methodology is capable of solving real-world channel assignment problems with the theoretical guarantee of the solutions obtained.
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