Chapman and Hall/CRC
Scalable and Secure Internet Services and Architecture provides an in-depth analysis of many key scaling technologies. Topics include: server clusters and load balancing; QoS-aware resource management; server capacity planning; Web caching and prefetching; P2P overlay network; mobile code and security; and mobility support for adaptive grid computing.
The author discusses each topic by first defining a problem, then reviewing current representative approaches for solving it. He then describes in detail the underlying principles of the technologies and the application of these principles, along with balanced coverage of concepts and engineering trade-offs. The book demonstrates the effectiveness of the technologies via rigorous mathematical modeling and analysis, simulation, and practical implementations. It blends technologies in a unified framework for scalable and secure Internet services, delivering a systematic treatment based upon the author's cutting-edge research experience.
This volume describes in breadth and depth advanced scaling technologies that support media streaming, e-commerce, grid computing, personalized content delivery, distributed file sharing, network management, and other Internet applications.
Internet services. Network load balancing. Load balancing on streaming server clusters. Quality of service - Aware resource management on Internet servers. Service differentiation on streaming servers. Service differentiation on e-commerce servers. Feedback control for proportional slowdown differentiation. Decay function model for server capacity planning. Scalable constant-degree peer-to-peer overlay networks. Semantic prefetching of Web contents. Mobile code security. Naplet: A mobile agent approach. Itinerary safety reasoning and assurance. Security measures for server protection. Connection migration in mobile agents. Mobility support for adaptive grid computing. Service migration in reconfigurable distributed virtual machines. Mobility decision for reconfigurable distributed virtual machines.