We present a simplified approach of deriving the working dimensions between surfaces of a workpiece during tolerance charting. Unlike other methods, it does not require any representation of the machining sequence. The dimensional chains are first formulated into a matrix and it is then solved by applying the Gauss elimination technique. We also describe an elegant method of deriving the balanced tolerances of a workpiece during tolerance charting. The process links between surfaces are derived by using a special tracing technique. With the process links obtained, the balanced tolerances are solved by using a separate mathematical model. An example is used to illustrate the method.
SUMMARYData Center Ethernet is likely to be deployed as the communication infrastructure for future data centers, which carries multiple types of traffic with very different characteristics and handling requirements. Conventional Spanning Tree Protocol (STP) cannot meet the requirement of a Data Center Ethernet framework because of its poor bandwidth utilization and lack of multipathing capability. In this paper, we propose a layer 2 multipathing solution, namely optimized dynamic load-balancing multipathing (ODLBMP), to be deployed in Data Center Ethernet. Our proposed method utilizes all available links and ports for frame delivery and can split traffic of a communication pair along multiple paths. In ODLBMP, the traffic loads of all paths are continuously monitored so that traffic assigned to each path can be dynamically adjusted to avoid path/link over-utilization. Per-flow forwarding is observed in ODLBMP to guarantee the in-order delivery, which is important for most storage traffic. In addition, ODLBMP finely differentiates flows from application perspective so it has more flexibility in traffic splitting and route selection, and achieves better multipath load balancing. Computer simulations show that our proposed algorithm performs better than other compared algorithms, including STP, Transparent Interconnection of Lots of Links, and DLBMP, in all simulation scenarios in terms of frame delivery ratio and network throughput.
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