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This work presents a study of cache replacement strategies designed for static web content. Proxy servers can improve performance by caching static web content such as cascading style sheets, java script source files, and large files such as images. This topic is particularly important in wireless ad hoc networks, in which mobile devices act as proxy servers for a group of other mobile devices. Opening chapters present an introduction to web requests and the characteristics of web objects, web proxy servers and Squid, and artificial neural networks. This is followed by a comprehensive review of cache replacement strategies simulated against different performance metrics. The work then describes a novel approach to web proxy cache replacement that uses neural networks for decision making, evaluates its performance and decision structures, and examines its implementation in a real environment, namely, in the Squid proxy server.
Web caching and content delivery technologies provide the infrastructure on which systems are built for the scalable distribution of information. This proceedings of the eighth annual workshop, captures a cross-section of the latest issues and techniques of interest to network architects and researchers in large-scale content delivery. Topics covered include the distribution of streaming multimedia, edge caching and computation, multicast, delivery of dynamic content, enterprise content delivery, streaming proxies and servers, content transcoding, replication and caching strategies, peer-to-peer content delivery, and Web prefetching. Web Content Caching and Distribution encompasses all areas relating to the intersection of storage and networking for Internet content services. The book is divided into eight parts: mobility, applications, architectures, multimedia, customization, peer-to-peer, performance and measurement, and delta encoding.
Internet Infrastructure: Networking, Web Services, and Cloud Computing provides a comprehensive introduction to networks and the Internet from several perspectives: the underlying media, the protocols, the hardware, the servers, and their uses. The material in the text is divided into concept chapters that are followed up with case study chapters that examine how to install, configure, and secure a server that offers the given service discussed. The book covers in detail the Bind DNS name server, the Apache web server, and the Squid proxy server. It also provides background on those servers by discussing DNS, DHCP, HTTP, HTTPS, digital certificates and encryption, web caches, and the variety of protocols that support web caching. Introductory networking content, as well as advanced Internet content, is also included in chapters on networks, LANs and WANs, TCP/IP, TCP/IP tools, cloud computing, and an examination of the Amazon Cloud Service. Online resources include supplementary content that is available via the textbook’s companion website, as well useful resources for faculty and students alike, including: a complete lab manual; power point notes, for installing, configuring, securing and experimenting with many of the servers discussed in the text; power point notes; animation tutorials to illustrate some of the concepts; two appendices; and complete input/output listings for the example Amazon cloud operations covered in the book.
Although the Internet and World Wide Web (WWW) are popular as tools for convenient exchange of information, it is not easy to utilise the Internet for time-critical applications such as on-line remote diagnosis in telemedicine. It is a wish of the United Nations to bring e-health to every corner of the world via the Internet. This is easier said than done because the sheer size of the Internet implies unpredictable faults of all kinds. These faults are physically translated into communication and computation delays. Since these faults and delays have many contributing factors that can change suddenly, it is impractical to monitor them all for the sake of fault tolerance. For this reason the new concept of interpreting the channel dynamics by gauging its end-to-end behaviour has emerged. The aim is to measure the changes of the average service roundtrip time (RTT) over time and interpret the possible signs of faults from these changes. If the length of the average service RTT is suddenly increased in an exponential manner, network congestion and widespread retransmission are indicated. Then, the Internet and/or the applications running on it should invoke fault tolerance measures to prevent system breakdown and partial failures. This concept of gauging the channel dynamics to prevent system failure is generally known as Internet End-to-End Performance Measurement (IEPM). The purpose of the book is to shed light on some of the novel practical fault tolerance techniques that can help shorten the end-to-end service roundtrip (RTT) time of a logical Internet channel. As a result the Internet can be harnessed for serious time-critical applications. Several practical cases are presented to demonstrate how the effective harnessing can be achieved.
The three volume set LNCS 5551/5552/5553 constitutes the refereed proceedings of the 6th International Symposium on Neural Networks, ISNN 2009, held in Wuhan, China in May 2009. The 409 revised papers presented were carefully reviewed and selected from a total of 1.235 submissions. The papers are organized in 20 topical sections on theoretical analysis, stability, time-delay neural networks, machine learning, neural modeling, decision making systems, fuzzy systems and fuzzy neural networks, support vector machines and kernel methods, genetic algorithms, clustering and classification, pattern recognition, intelligent control, optimization, robotics, image processing, signal processing, biomedical applications, fault diagnosis, telecommunication, sensor network and transportation systems, as well as applications.
Continuous improvements in data analysis and cloud computing have allowed more opportunities to develop systems with user-focused designs. This not only leads to higher success in day-to-day usage, but it increases the overall probability of technology adoption. Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications is a key resource on the latest innovations in cloud database systems and their impact on the daily lives of people in modern society. Highlighting multidisciplinary studies on information storage and retrieval, big data architectures, and artificial intelligence, this publication is an ideal reference source for academicians, researchers, scientists, advanced level students, technology developers and IT officials.
The Networks and Systems in Cybernetics section continues to be a highly relevant and rapidly evolving area of research, encompassing modern advancements in informatics and cybernetics within network and system contexts. This field is at the forefront of developing cutting-edge technologies that can tackle complex challenges and improve various aspects of our lives. The latest research in this field is featured in this book, which provides a comprehensive overview of recent methods, algorithms, and designs. The book comprises the refereed proceedings of the Cybernetics Perspectives in Systems session of the 12th Computer Science Online Conference 2023 (CSOC 2023), which was held online in April 2023. The book offers a unique opportunity to explore the latest advances in cybernetics and informatics and their applications in a range of domains. It brings together experts from various disciplines to share their insights and collaborate on research that can shape the future of our world. One of the key themes of this section is the application of cybernetics in intelligent systems. This area has significant potential to revolutionize a range of industries. Researchers are exploring how cybernetic principles can be used to create intelligent systems that can learn, adapt, and optimize their performance over time.
The last decade has seen a tremendous growth in the usage of the World Wide Web. The Web has grown so fast that it seems to be becoming an unusable and slow behemoth. Web caching is one way to tame and make this behemoth a friendly and useful giant. The key idea in Web caching is to cache frequently accessed content so that it may be used profitably later. This book focuses entirely on Web caching techniques. Much of the material in this book is very relevant for those interested in understanding the wide gamut of Web caching research. It will be helpful for those interested in making use of the power of the Web in a more profitable way. Audience and purpose of this book This book presents key concepts in Web caching and is meant to be suited for a wide variety of readers including advanced undergraduate and graduate students‚ programmers‚ network administrators‚ researchers‚ teachers‚ techn- ogists and Internet Service Providers (ISPs).
The need to evaluate computer and communication systems performance and dependability is continuously growing as a consequence of both the increasing complexity of systems and the user requirements in terms of timing behaviour. The 10th International Conference on Modelling Techniques and Tools for C- puter Performance Evaluation, held in Palma in September 1998, was organised with the aim of creating a forum in which both theoreticians and practitioners could interchange recent techniques, tools, and experiences in these areas. This meeting follows the predecessor conferences of this series: 1984 Paris 1988 Palma 1994 Wien 1985 Sophia Antipolis 1991 Torino 1995 Heidelberg 1987 Paris 1992 Edinburgh 1997 Saint Malo The tradition of this conference series continued this year where many high quality papers were submitted. The Programme Committee had a di cult task in selecting the best papers. Many ne papers could not be included in the program due to space constraints. All accepted papers are included in this volume. Also, a set of submissions describing performance modelling tools was transformed into tool presentations and demonstrations. A brief description of these tools is included in this volume. The following table gives the overall statistics for the submissions.
The contributed volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.