Stream System

Hypothetical Flood Computation for a Stream System

Stream Data Management

Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.e., data composed of continuous, real-time sequence of items. Streaming applications pose new and interesting challenges for data management systems. Such application domains require queries to be evaluated continuously as opposed to the one time evaluation of a query for traditional applications. Streaming data sets grow continuously and queries must be evaluated on such unbounded data sets. These, as well as other challenges, require a major rethink of almost all aspects of traditional database management systems to support streaming applications. Stream Data Management comprises eight invited chapters by researchers active in stream data management. The collected chapters provide exposition of algorithms, languages, as well as systems proposed and implemented for managing streaming data. Stream Data Management is designed to appeal to researchers or practitioners already involved in stream data management, as well as to those starting out in this area. This book is also suitable for graduate students in computer science interested in learning about stream data management.

Scalable Continuous Media Streaming Systems

Continuous media streaming systems will shape the future of information infrastructure. The challenge is to design systems and networks capable of supporting millions of concurrent users. Key to this is the integration of fault-tolerant mechanisms to prevent individual component failures from disrupting systems operations. These are just some of the hurdles that need to be overcome before large-scale continuous media services such as video-on-demand can be deployed with maximum efficiency. The author places the subject in context, drawing together findings from the past decade of research whilst examining the technology’s present status and its future potential. The approach adopted is comprehensive, covering topics – notably the scalability and fault-tolerance issues - that previously have not been treated in depth. Provides an accessible introduction to the technology, presenting the basic principles for media streaming system design, focusing on the need for the correct and timely delivery of data. Explores the use of parallel server architectures to tackle the two key challenges of scalability and fault-tolerance. Investigates the use of network multicast streaming algorithms to further increase the scalability of very-large-scale media streaming systems. Illustrates all findings using real-world examples and case studies gleaned from cutting-edge worldwide research. Combining theory and practice, this book will appeal to industry specialists working in content distribution in general and continuous media streaming in particular. The introductory materials and basic building blocks complemented by amply illustrated, more advanced coverage provide essential reading for senior undergraduates, postgraduates and researchers in these fields.