Achieving quality of service in real time network security

Growing popularity of high speed wireless broadband access for real-time applications makes it increasingly relevant to study the congestion control and scheduling of flows in a service differentiated manner. It studies the problem of congestion control and scheduling in ad hoc wireless networks. The goal is to provide the best possible QoS to each stream, and network bandwidth for real-time traffic using hierarchical scheduling. Conventional real-time scheduling algorithms, however, either disregard applications security needs and thus expose the applications to security threats, or run applications at inferior security levels without optimizing security performance. In recognition that many applications running on clusters demand both real-time performance and security, they investigate the problem of scheduling a set of independent real-time tasks with various security requirements. They build a security overhead model that can be used to reasonably measure security overheads incurred by the security-critical tasks. Thus the hierarchical scheduling has been proposed for designing architectures for fair resource allocation to meet long-term throughput demands. Experimental results from both real-world traces and a real application show that proposed scheduling algorithm have significantly improves security over existing scheduling algorithms.