Contemporary distributed file systems are monolithic and only support single file abstractions. Nowadays, as Sai-Lai Lo explains, network storage devices have to accommodate new information media such as digital audio and video, with data radically different from the traditional text and binary code that contemporary file systems are optimized for. In this book, the author shows how, by combining new and traditional media, information can be recorded and presented in the most suitable way, and the value of a piece of information can be further enhanced by linking together related pieces. However, composite data and cross-reference between data items raise a number of system issues that have not been addressed properly before. Lo defines a new multiservice storage architecture that meets the needs of existing and emerging applications and can support multiple file abstractions. He also explores a number of related design issues. Researchers in the areas of distributed systems, network multimedia and network storage services will enjoy this book.
Queues and stochastic networks are analyzed in this book with purely probabilistic methods. The purpose of these lectures is to show that general results from Markov processes, martingales or ergodic theory can be used directly to study the corresponding stochastic processes. Recent developments have shown that, instead of having ad-hoc methods, a better understanding of fundamental results on stochastic processes is crucial to study the complex behavior of stochastic networks.
In this book, various aspects of these stochastic models are investigated in depth in an elementary way: Existence of equilibrium, characterization of stationary regimes, transient behaviors (rare events, hitting times) and critical regimes, etc. A simple presentation of stationary point processes and Palm measures is given. Scaling methods and functional limit theorems are a major theme of this book. In particular, a complete chapter is devoted to fluid limits of Markov processes.
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