NSF Partnership in the Center for Advanced Computing and Communication

这个持续的奖项资助多大学工业/大学合作研究中心（I/UCRC）的先进计算和通信的第二个五年期（根据公告97-164）。 主要研究地点位于北卡罗来纳州州立大学，另一个地点位于杜克大学。I/UCRC的研究议程地址1。）容错系统，2.）软件系统中基于症状的故障管理（3）微系统，4.）基于FPGA的远程定制计算机器上的分类，5.）使用DPR有效模拟通信系统和网络中的罕见事件，6。使用物理信道建模的更快和更可靠的无线通信，7.）网络，8.）MTCP：用于可靠多播的TCP类拥塞控制，9.）Internet 2组播应用的中级支持，10.）具有统计QoS保证的自适应调度，11.）应用程序级服务质量的评估和管理，12。终端用户服务质量描述协议，13。实时客户机/服务器系统的操作系统和中间件支持，14。多协议标签交换网络中的区分服务和流量工程，15。无线通信网络中的可用性、容量和性能（ACP），16。）Web缓存对网络规划的影响，17。安全网络性能研究，18。）图像处理，19。）图像显示和处理的硬件实现，20。使用三维活动轮廓进行图像分割。

ABSTRACTEEC-9980291SNYDERThis continuing award funds the multi-university Industry/University Cooperative Research Center (I/UCRC) for Advanced Computing and Communications for a second five-year period (in accordance with Announcement 97-164). The lead research site is at North Carolina State University with another site at Duke University.The I/UCRC's research agenda address 1.) Fault Tolerant Systems, 2.) Symptom Based Fault Management in Software Systems, 3.) Microsystems, 4.) Classification on a Remote FPGA Based Custom Computing Machine, 5.) Efficient Simulation of Rare Events in Communication Systems and Networks Using DPR, 6.) Faster and More Reliable Wireless Communications Using Physical Channel Modeling, 7.) Networking, 8.) MTCP: TCP-like Congestion Control for Reliable Multicast, 9.) Midlevel Support for Internet 2 Multicast Application, 10.) Adaptive Scheduling with Statistical QoS Guarantee, 11.) Assessment and Management of Application-Level Quality of Service, 12.) A Protocol for Description of End-User Quality of Service, 13.) Operating System and Middleware Support for Real-Time Client/Server Systems, 14.) Differentiated Services and Traffic Engineering in Multi-Protocol Lable Switching Network, 15.) The Availability, Capacity and Performance (ACP) in Wireless Communication Networks, 16.) The Effect of Web Caching on Network Planning, 17.) Secure Network Performance Research, 18.) Image Processing, 19.) Implementation of Hardware for Image Display and Processing, 20.) Image Segmentation using 3-D Active Contours.