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DNA Computing ; 13th International Meeting on DNA Computing, DNA13, Memphis, TN, USA, June 4-8, 2007, Revised Selected Papers
This book constitutes the thoroughly refereed postproceedings of the 13th International Meeting on DNA Computing, DNA 13, held in Memphis, TN, USA, June 4-8, 2007.
Distributed, High-Performance and Grid Computing in Computational Biology ; International Workshop, GCCB 2006, International Workshop, GCCB 2006, Eilat, Israel, January 21, 2007, Proceedings
Modern computational biology and bioinformatics are characterized by large and complex structured data and by applications requiring considerable computing resources, such as processing units, storage elements and software programs. In addition, these disciplines are intrinsically geographically distributed in terms of their instruments, communities and computing resources. Tackling the computational challenges in computational biology and bioinformatics increasingly requires high-end and distributed computing infrastructures, systems and tools.
Distributed systems and mobile computing
About Distributed Systems and Mobile Computing. This is a branch of Computer Science devoted to the study of systems whose components are in different physical locations and have limited communication capabilities. Such components may be static, often organized in a network, or may be able to move in a discrete or continuous environment. The theoretical study of such systems has applications ranging from swarms of mobile robots (e.g., drones) to sensor networks, autonomous intelligent vehicles, the Internet of Things, and crawlers on the Web. The book includes five articles. Two of them are about networks: the first one studies the formation of networks by agents that interact randomly and have the ability to form connections; the second one is a study of clustering models and algorithms. The three remaining articles are concerned with autonomous mobile robots operating in continuous space.
Distributed systems : Concurrency and consistency
Explores the gray area of distributed systems and draws a map of weak consistency criteria, identifying several families and demonstrating how these may be implemented into a programming language. Unlike their sequential counterparts, distributed systems are much more difficult to design, and are therefore prone to problems. On a large scale, usability reminiscent of sequential consistency, which would provide the same global view to all users, is very expensive or impossible to achieve.
Distributed Search by Constrained Agents : Algorithms, Performance, Communication
This book presents a comprehensive discussion on the field of distributed constraints, its algorithms and its active research areas. It introduces distributed constraint satisfaction and optimization problems and proceeds to present a complete state-of-the-art in DisCSP & DisCOP research.
Distributed Event-Based Systems
Event-based architectures inherently decouple system components. Event-based components are not designed to work with specific other components in a traditional request/reply mode, but separate communication from computation through asynchronous communication mechanisms via a dedicated notification service.
Distributed embedded systems : Design, middleware and resources ; IFIP 20th World computer congress, TC10 Working conference on distributed and parallel embedded systems (DIPES 2008), September 7-10, 2008, Milano, Italy
The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
Distributed computing in sensor systems Vol. 4026 ; 2nd IEEE International Conference, DCOSS 2006, San Francisco, CA, USA, June 18-20, 2006, Proceedings
The book constitutes the refereed proceedings of the Second International Conference on Distributed Computing in Sensor Systems, DCOSS 2006, held in San Francisco, California, USA in June 2006. The papers focus on distributed computing issues in large-scale networked sensor systems, including systematic design techniques and tools; they cover topics such as distributed algorithms and applications, programming support and middleware, data aggregation and dissemination, security, information fusion, lifetime maximization, and localization.
Distributed computing in sensor systems ; 4th IEEE International Conference, DCOSS 2008 Santorini Island, Greece, June 11-14, 2008 Proceedings
The book constitutes the refereed proceedings of the 4th International Conference on Distributed Computing in Sensor Systems, DCOSS 2008, held on Santorini Island, Greece, in June 2008.
Distributed computing and networking ; 9th International Conference, ICDCN 2008, Kolkata, India, January 5-8, 2008. Proceedings
This book constitutes the refereed proceedings of the 9th International Conference on Distributed Computing and Networking, ICDCN 2008 - formerly known as IWDC (International Workshop on Distributed Computing) - held in Kolkata, India, in January 2008.
Distributed computing and Internet Technology ; 1st International Conference, ICDCIT 2004, Bhubaneswar, India, December 22-24, 2004, Proceedings
Taming the Dynamics of Disributed Data - DISTRIBUTED COMPUTING -- Data in Your Space -- Enabling Technologies for Harnessing Information Explosion -- Fair Leader Election by Randomized Voting -- An Efficient Leader Election Algorithm for Mobile Ad Hoc Networks -- Distributed Balanced Tables: A New Approach - Performance Evaluation of Gigabit Ethernet and SCI in a Linux Cluster -- Performance Evaluation of a Modified-Cyclic-Banyan Based ATM / IP Switching Fabric -- A Scalable and Robust QoS Architecture for WiFi P2P Networks -- NEC: Node Energy Based Clustering Protocol for Wireless Sensor Networks with Guaranteed Connectivity,and other
Distributed computing and internet technology ; 17th International Conference, ICDCIT 2021, Bhubaneswar, India, January 7–10, 2021, Proceedings
This book constitutes the proceedings of the 17th International Conference on Distributed Computing and Internet Technology, ICDCIT 2020, held in Bhubaneswar, India, in January 2021. The 13 full papers presented together with 4 short papers were carefully reviewed and selected from 99 submissions. The papers were organized in topical sections named: invited talks, cloud computing and networks, distributed algorithms, concurrency and parallelism, graph algorithms and security, social networks and machine learning, and short papers.
Dissemination of Information in Optical Networks : From Technology to Algorithms In Cooperation with Ralf Klasing
This book gives a broad overview of techniques used in the design of WDM networks for efficient dissemination of information in computer networks.
Dissemination of information in communication networks : Broadcasting, gossiping, leader election, and fault-tolerance
Preface Due to the development of hardware technologies (such as VLSI) in the early 1980s, the interest in parallel and distributive computing has been rapidly growingandinthelate1980sthestudyofparallelalgorithmsandarchitectures became one of the main topics in computer science. To bring the topic to educatorsandstudents,severalbooksonparallelcomputingwerewritten. The involvedtextbook“IntroductiontoParallelAlgorithmsandArchitectures”by F. Thomson Leighton in 1992 was one of the milestones in the development of parallel architectures and parallel algorithms. But in the last decade or so the main interest in parallel and distributive computing moved from the design of parallel algorithms and expensive parallel computers to the new distributive reality – the world of interconnected computers that cooperate (often asynchronously) in order to solve di?erent tasks.
Disruptive trends in automation technology
The industrial sector is being transformed by the convergence of information technology and operational technology. The latter is another name for automation technology and covers established systems such as supervisory control and data acquisition (SCADA), programmable logic controllers (PLC), fieldbuses, and automation and control systems. As this technology is connected to the Internet and 5G networks, some monitoring, control, and analytic functionalities are deployed to the edge or cloud, and researchers are challenged to ensure the security, dependability, real-time performance, and maintainability of the resulting systems. The big data that is accessible from these systems create opportunities for artificial intelligence applications that can further disrupt the established practices in the automation domain.
Discrete Geometry, Combinatorics and Graph Theory ; 7th China-Japan Conference, CJCDGCGT 2005, Tianjin, China, November 18-20, 2005, and Xi'an, China, November 22-24, 2005, Revised Selected Papers
Theis book includes discrete algorithmic geometry, combinatorics and graph theory
Discovery Science ; 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008. Proceedings
This book constitutes the refereed proceedings of the 11th International Conference on Discovery Science, DS 2008, held in Budapest, Hungary, in October 2008, co-located with the 19th International Conference on Algorithmic Learning Theory, ALT 2008.
Discovery Science ; 10th International Conference, DS 2007 Sendai, Japan, October 1-4, 2007. Proceedings
This volume consists of three parts. The first part contains the papers/abstracts of the invited talks, the second part contains the accepted long papers, and the third part contains the accepted regular papers.
Discovering Knowledge in Data : An Introduction to Data Mining
Provides the tools needed to thrive in today’s big data world. Demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”.
Direct and inverse Sturm-Liouville problems : A method of solution
This book provides an introduction to the most recent developments in the theory and practice of direct and inverse Sturm-Liouville problems on finite and infinite intervals. A universal approach for practical solving of direct and inverse spectral and scattering problems is presented, based on the notion of transmutation (transformation) operators and their efficient construction. Analytical representations for solutions of Sturm-Liouville equations as well as for the integral kernels of the transmutation operators are derived in the form of functional series revealing interesting special features and lending themselves to direct and simple numerical solution of a wide variety of problems.
