This paper describes a 320 GWs high-speed multichip ATM switching system for broadband ISDN. This system employs a copper-polyimide MCM with 4-layer copper-polyimide signal transmission layers and 15-layer ceramic power supply layers. The system uses 64 MCM's that are interconnected by 98highway flexible printed circuit connector. Si-bipolar VLSI's are mounted on MCM's using the 150 pm very-thin pitch outer lead TAB technique. In addition, a high-performance heat-pipe air cooling technique is adopted. The system switches ATM cells up to 320 GWs throughput, which is applicable for future B-ISDN. Zndex Terms-MCM, B-ISDN, ATM, copper-prolyimide.
In a scenario of restoration from massive failures, a network is repaired through multiple restoration stages because availability of repair resources is limited. In a practical case, a network operator should assure the reachability of important traffic in transient stages, even as risks and/or operational overheads caused by stage transitions are suppressed. We discuss the novel problem of optimizing both traffic recovery ratio and transition risks caused by paths switching operation. We formulate our problem as linear programming, and show that it obtains pareto-optimal solutions of traffic recovery versus transition risks. We also propose a heuristic algorithm for applying networks consisting of a few hundred nodes, and it could produce sub-optimal solutions within 4% difference from optimal solutions.
When a massive network disruption occurs, repair of the damaged network takes time, and the recovery process involves multiple stages. We propose a fast and traffic-balanced network recovery method that can determine an optimal recovery order of failed physical components reflecting the demand of a balance between maximizing total network flow and providing adequate logical path flows during transient recovery stages. The problem is formulated by mixed integer linear programming. The effectiveness of the proposed method was numerically evaluated, and the results show that with the proposed method, the pareto-optimal recovery order can be determined under the balance between total network flow and adequate logical path flows. In addition, the allocated minimum bandwidth of logical path is drastically improved while maximizing total network flow.
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