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It is now 30 years since the network for digital communication, the ARPA-net, first came into operation. Since the first experiments with sending electronic mail and performing file transfers, the development of networks has been truly remarkable. Today's Internet continues to develop at an exponential rate that even surpasses that of computing and storage technologies. About five years after being commercialized, it has become as pervasive as the tele phone had become 30 years after its initial deployment. In the United States, the size of the Internet industry already exceeds that of the auto industry, which has been in existence for about 100 years. The exponentially increas ing capabilities of communication, computing, and storage systems is also reshaping the way science and engineering are pursued. Large-scale simulation studies in chemistry, physics, engineering, and sev eral other disciplines may now produce data sets of ,several terabytes or petabytes. Similarly, almost all measurements today produce data in digital form, whether from collections of sensors, three-dimensional digital images, or video. These data sets often represent complex phenomena that require rich visualization capabilities and efficient data-mining techniques to under stand. Furthermore, the data may be produced and archived in several differ ent locations, and the analysis carried out by teams with members at several locations-possibly distinct from those with significant storage, computation, or visualization facilities. The emerging computational Grids enable the transparent use of remote instruments, computational and data resources.
This book constitutes the thoroughly refereed post-proceedings of the First European Across Grids Conference held in Santiago de Compostela, Spain in February 2003. The 39 revised full papers presented were carefully selected during two rounds of reviewing and improvement. The papers address all current issues in grid computing, in particular grid middleware architectures, tools, resource management, job scheduling, data management, grid-based distant e-learning, stream-oriented database management, data stripping, large-scale grid applications, simulation, visualization, data mining, grid performance analysis, and grid monitoring.
This book constitutes the thoroughly refereed post-proceedings of the Second European AcrossGrid Conference, AxGrids 2004, held in Nicosia, Cyprus in January 2004. The 27 revised full papers and 4 revised short papers presented were carefully selected during two rounds of reviewing and improvement from 57 submissions. The papers address the entire range of current topics in grid computing from computational and data grids to the semantic grid and grid application in various fields.
Grid computing denotes an approach to utilize distributed resources that are not subject to centralized control. This approach fulfils computing requirements arising within the context of current high-performance computing applications, especially in the field of computational science and engineering.This idea is analogous to an electric power network (grid), where power generators are distributed, but the users are able to access electric power without bothering about the source of energy and its location.Current grid enabling technologies consist of stand-alone architectures. A typical architecture provides middleware access to various services at different hierarchical levels. Computational grids enable the sharing, selection and aggregation of a wide variety of geographically distributed computational resources (such as supercomputers, clusters of computers, storage systems, data sources, instruments, people, etc.) and present them as a single, unified resource for solving large-scale computations and data intensive computing applications (e.g., molecular modeling for drug design, brain activity analysis, high energy physics, etc.).Grid computing is a new emerging research area aiming to promote the development and advancement of technologies that provide seamless and scalable access to wide-area distributed resources.
This book features articles written by some of the most prominent leading applied mathematicians as well as young and promising ones. The common objective of these articles is to present an important issue which is currently widely discussed in scientific investigation with major human, economic or ecological implications. Each article is as deep as an expert lecture but is also self-contained, so that even isolated scientists with limited resources can profit greatly from it.
Grid and cooperative computing has emerged as a new frontier of information tech- logy. It aims to share and coordinate distributed and heterogeneous network resources forbetterperformanceandfunctionalitythatcanotherwisenotbeachieved.Thisvolume contains the papers presented at the 2nd International Workshop on Grid and Coope- tive Computing, GCC 2003, which was held in Shanghai, P.R. China, during December 7–10, 2003. GCC is designed to serve as a forum to present current and future work as well as to exchange research ideas among researchers, developers, practitioners, and usersinGridcomputing,Webservicesandcooperativecomputing,includingtheoryand applications. For this workshop, we received over 550 paper submissions from 22 countries and regions. All the papers were peer-reviewed in depth and qualitatively graded on their relevance, originality, signi?cance, presentation, and the overall appropriateness of their acceptance. Any concerns raised were discussed by the program committee. The or- nizing committee selected 176 papers for conference presentation (full papers) and 173 submissions for poster presentation (short papers).The papers included herein represent the forefront of research from China, USA, UK, Canada, Switzerland, Japan, Aust- lia, India, Korea, Singapore, Brazil, Norway, Greece, Iran, Turkey, Oman, Pakistan and other countries. More than 600 attendees participated in the technical section and the exhibition of the workshop.
A book that bridges the gap between the communities of network and Grid experts. Grid Networks describes the convergence of advanced networking technologies and Grid technologies, with special focus on their symbiotic relationship and the resulting new opportunities. Grid technology is applicable to many implementations, Computational Grids, Data Grids, Service Grids, and Instrumentation Grids. The authors cover a breadth of topics including recent research, featuring both theoretical concepts and empirical results. Beginning with an overview of Grid technologies, an analysis of distinguishing use cases and architectural attributes, and emerging standards. Travostino et al. discuss new directions in multiple networking technologies that are enabling enhanced capabilities for Grids. An appendix also provides an overview of experimental research test-beds and prototype implementations. These topics will enable network experts to design networks to best match Grid requirements, while Grid experts will learn how to effectively utilize network resources. Grid Networks: Enabling Grids with Advanced Communication Technology: Bridges the gap between the communities of network and Grid experts. Covers new network requirements posed by the Grid, and the paradigm shifts prompted by Grid applications. Discusses basic architectural concepts and directions related to the integration of Grid and networking technologies, especially those that elevate network resources to first class entities within Grid environments. Details new directions in networking technologies for the Grid, including Network Infrastructure & Management, Service Provisioning, High Performance Data Transport, Performance Monitoring, Reliability, and Network-Assisted Service Frameworks. Provides an overview of advanced research testbeds and innovative early implementations of emerging architecture and technology. Many communities will find this book an invaluable resource, including engineers and product managers, research scientists within academia, industry, and government agencies, advanced students and faculty in distributed systems courses, network and systems architects, CIOs, administrators of advanced networks, application developers, and providers of next generation distributed services.
This book is made up of selected papers from the Asia Simulation Conference 2007, held in Seoul, Korea, in October of 2007. The 42 revised full papers presented were carefully reviewed and selected from 120 submissions. After the conference, the papers went through another round of revision. The papers are organized in topical sections on a host of subjects. These include, among others, sections on numerical simulation, general application, and agent-based simulation.
This book constitutes the refereed post-proceedings of the third Asian Simulation Conference, AsiaSim 2004, held in Jeju Island, Korea in October 2004. The 78 revised full papers presented together with 2 invited keynote papers were carefully reviewed and selected from 178 submissions; after the conference, the papers went through another round of revision. The papers are organized in topical sections on modeling and simulation methodology, manufacturing, aerospace simulation, military simulation, medical simulation, general applications, network simulation and modeling, e-business simulation, numerical simulation, traffic simulation, transportation, virtual reality, engineering applications, and DEVS modeling and simulation.
Many papers in this volume re?ect, to some degree, the active, rapid economic developmentincertaingeographicareasintheworldsuchasChina,Japan,South Korea,and EasternEurope, which demand cooperative work,particularly co- erative engineering, more than ever. New concepts and new ideas of cooperative design, visualization, and engineering have emerged to meet the higher demand resulting from the economic development in these areas. Another trend among the papers in this volume is to apply existing concepts and methods to new application areas. The emergence of new concepts can be considered as a signal of fruitful research with its maturity in the ?eld. This can be found in the papers of this year’s conference. Cooperative design, visualization, and engineering via cloud computing is a new concept presented in a group of papers in this volume. The concept of cloud has been proposed for cooperative manufacturing, large scale cooperative simulation, and visualization, etc. Applying existing concepts to new application areas or creating new me- ods based on them is a logicaldirection to takefull advantageof the cooperative design, visualization, and engineering technology. This is no doubt the best way to widen anddeepen the knowledgein the ?eld. Typicalexamples in this volume include the cooperative visualization of DNA microarray data in bioinform- ics, astrophysical simulations, natural disaster simulations, and cooperative risk assessment, etc. As the volume editor, I would like to congratulate all the authors for their research and development results, raising cooperative technology to a new level.