Parallel Numerical Computations with Applications contains selected edited papers presented at the 1998 Frontiers of Parallel Numerical Computations and Applications Workshop, along with invited papers from leading researchers around the world. These papers cover a broad spectrum of topics on parallel numerical computation with applications; such as advanced parallel numerical and computational optimization methods, novel parallel computing techniques, numerical fluid mechanics, and other applications related to material sciences, signal and image processing, semiconductor technology, and electronic circuits and systems design. This state-of-the-art volume will be an up-to-date resource for researchers in the areas of parallel and distributed computing.

High Performance Scientific And Engineering Computing: Hardware/Software Support contains selected chapters on hardware/software support for high performance scientific and engineering computing from prestigious workshops in the fields such as PACT-SHPSEC, IPDPS-PDSECA and ICPP-HPSECA. This edited volume is basically divided into six main sections which include invited material from prominent researchers around the world. We believe all of these contributed chapters and topics not only provide novel ideas, new results and state-of-the-art techniques in this field, but also stimulate the future research activities in the area of high performance computing for science and engineering applications.
High Performance Scientific And Engineering Computing: Hardware/Software Support is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

This book intends to inculcate the innovative ideas for the scheduling aspect in distributed computing systems. Although the models in this book have been designed for distributed systems, the same information is applicable for any type of system. The book will dramatically improve the design and management of the processes for industry professionals. It deals exclusively with the scheduling aspect, which finds little space in other distributed operating system books. Structured for a professional audience composed of researchers and practitioners in industry, this book is also suitable as a reference for graduate-level students.

Autonomic Computing and Networking presents introductory and advanced topics on autonomic computing and networking with emphasis on architectures, protocols, services, privacy & security, simulation and implementation testbeds. Autonomic computing and networking are new computing and networking paradigms that allow the creation of self-managing and self-controlling computing and networking environments using techniques such as distributed algorithms and context-awareness to dynamically control networking functions without human interventions. Autonomic networking is characterized by recovery from failures and malfunctions, agility to changing networking environment, self-optimization and self-awareness. The self-control and management features can help to overcome the growing complexity and heterogeneity of exiting communication networks and systems. The realization of fully autonomic heterogeneous networking introduces several research challenges in all aspects of computing and networking and related fields.

Parallel and distributed computing is one of the foremost technologies for shaping
future research and development activities in academia and industry. Hyperthreading in Intel processors, hypertransport links in next generation AMD processors, multicore silicon in today's high-end microprocessors, and emerging cluster and grid computing have moved parallel/distributed computing into the mainstream of computing.

New Horizons of Parallel and Distributed Computing is a collection of self-contained chapters written by pioneering researchers to provide solutions for newly emerging problems in this field. This volume will not only provide novel ideas, work in progress and state-of-the-art techniques in the field, but will also stimulate future research activities in the area of parallel and distributed computing with applications.

New Horizons of Parallel and Distributed Computing is intended for industry researchers and developers, as well as for academic researchers and advanced-level students in computer science and electrical engineering. A valuable reference work, it is also suitable as a textbook.

It is our great pleasure to welcome you to the proceedings of the 10th annual event of the International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP). ICA3PP is recognized as the main regular event covering the many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical - proaches, practical experimental projects, and commercial components and systems. As applications of computing systems have permeated every aspect of daily life, the power of computing systems has become increasingly critical. Therefore, ICA3PP 2010 aimed to permit researchers and practitioners from industry to exchange inf- mation regarding advancements in the state of the art and practice of IT-driven s- vices and applications, as well as to identify emerging research topics and define the future directions of parallel processing. We received a total of 157 submissions this year, showing by both quantity and quality that ICA3PP is a premier conference on parallel processing. In the first stage, all papers submitted were screened for their relevance and general submission - quirements. These manuscripts then underwent a rigorous peer-review process with at least three reviewers per paper. In the end, 47 papers were accepted for presentation and included in the main proceedings, comprising a 30% acceptance rate.

As computational science and engineering (CSE) become specialized and fragmented, it is easy to lose sight that many topics in CSE have common threads and because of this, advances in one sub-discipline may transmit to another. The presentation of - sults between different sub-disciplines of CSE encourages this interchange for the advancement of CSE as a whole. Of particular interest is the hybrid approach of c- bining ideas from one discipline with those of another to achieve a result that is more significant than the sum of the individual parts. Through this hybrid philosophy, a new or common principle can be discovered which has the propensity to propagate throughout this multifaceted discipline. This volume comprises the selection of extended versions of papers that were p- sented in their shortened form at the 2008 International Conference on Future Gene- tion Communication and Networking (http://www.sersc.org/FGCN2008/) and 2009 Advanced Science and Technology (http://www.sersc.org/AST2009/). We would like to acknowledge the great effort of all in the FGCN2008 and AST 2009 International Advisory Board and members of the International Program Committee, as well as all the organizations and individuals who supported the idea of publishing these advances in communication and networking, including SERSC (http://www.sersc.org/) and Springer. We would like to give special thanks to Rosslin John Robles, Maricel O. Balitanas, Farkhod Alisherov Alisherovish, Feruza Sattarova Yusfovna. These graduate school students of Hannam University attended to the editing process of this volume with great passion.

Scheduling in Distributed Computing Systems: Analysis, Design and Models intends to inculcate the innovative ideas for the scheduling aspect. Although the models in this book are designed for distributed systems, the same information is applicable for any type of system (i.e., where distributed processing is required). Scheduling in Distributed Computing Systems: Analysis, Design and Models will dramatically improve the design and management of the processes for industry professionals. This book deals exclusively with the scheduling aspect, which finds little space in other distributed operating system books. Scheduling in Distributed Computing Systems: Analysis, Design and Models is structured for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference for graduate-level students in management sciences, and computer science for distributed computing system classes.

This volume contains the proceedings of UIC 2008, the 5th International C- ference on Ubiquitous Intelligence and Computing: Building Smart Worlds in Real and Cyber Spaces. The conference was held in Oslo, Norway, during June 23-25, 2008. The event was the ?fth meeting of this conference series. USW 2005 (First International Workshop on Ubiquitous Smart World), held in March 2005 in Taiwan, was the ?rst event in the series. This event was followed by UISW 2005 (SecondInternationalSymposiumonUbiquitousIntelligenceandSmartWorlds) held in December 2005 in Japan, by UIC 2006 (Third International Conference on Ubiquitous Intelligence and Computing: Building Smart Worlds in Real and Cyber Spaces) held in September 2006 in Wuhan and Three Gorges, China, and by UIC 2007 held in July 2007 in Hong Kong. Ubiquitous computers, networks and information are paving the road to a smart world in which computational intelligence is distributed throughout the physical environment to provide trustworthy and relevant services to people.

ThisvolumecontainstheproceedingsofATC2008, the5thInternationalConf- ence on Autonomic and Trusted Computing: Bringing Safe, Self-x and Organic Computing Systems into Reality. The conference was held in Oslo, Norway, d- ing June 23-25, 2008. ATC 2008 is a successor of the First IFIP Workshop on Trusted and Au- nomic Ubiquitous and Embedded Systems (TAUES 2005, Japan), the Inter- tional Workshop on Trusted and Autonomic Computing Systems (TACS 2006, Austria), the Third International Conference on Autonomic and Trusted C- puting (ATC 2006, China), and the 4th International Conference on Autonomic and Trusted Computing (ATC 2007, Hong Kong). Computing systems including hardware, software, communication and n- worksaregrowingdramaticallyinbothscale andheterogeneity, becoming overly complex. Such complexity is getting even more critical with the ubiquitous p- meation of embedded devices and other pervasive systems. To cope with the growingandubiquitous complexity, Autonomic Computing(AC)focuses onse- manageable computing and communication systems that exhibit self-awareness, self-con?guration, self-optimization, self-healing, self-protection and other self-x operationsto the maximumextent possible without humaninterventionorgu- ance. Organic Computing (OC) additionally emphasizes natural-analogue c- cepts like self-organization and controlled emergence. Any autonomic or organic system must be trustworthy to avoid the risk of losingcontrolandto retaincon?dencethatthe systemwillnotfail.Trustand/or distrust relationships in the Internet and in pervasive infrastructures are key factorsinenablingdynamicinteractionandcooperationofvarioususers, systems and services. Trusted/Trustworthy Computing (TC) aims at making computing and communication systems as well as services available, predictable, traceable, controllable, assessable, sustainable, dependable, persistable, security/privacy protectable,

Welcome to the proceedings of the 2008 International Conference on Grid and Pervasive Computing (GPC 2008) which was held in Kunming, Yunnan, China, May 25-28, 2008. Gridcomputing presentsa newtrendindistributed computing forcoordin- ing large-scale heterogeneous resource sharing and problem solving in dynamic, multi-institutional virtual organizations. Grid computing not only can be used for distributed supercomputing massive data processing, but can also be a c- mon platform and way for utility and service computing. It covers mainframes orsupercomputersaswellasmorepowerful personal computers and even small and smart devices, ranging from personal digital assistants to unseen chips in our cars, appliances and telephones. Projecting this trend into the future, we envision an explosion of interconnected high-performance computers and smart devices that can make our research and daily lives easier and more productive. Grid and Pervasive Computing (GPC) is an annual international conference on the emerging areas of merging grid computing and pervasive computing. GPC provides a high-pro?le, leading-edge forum for researchers and engineers alike to present their latest research in the ?eld of grid computing and pervasive computing.

Parallel and distributed computing is one of the foremost technologies for shaping
future research and development activities in academia and industry. Hyperthreading in Intel processors, hypertransport links in next generation AMD processors, multicore silicon in todaya (TM)s high-end microprocessors, and emerging cluster and grid computing have moved parallel/distributed computing into the mainstream of computing.

New Horizons of Parallel and Distributed Computing is a collection of self-contained chapters written by pioneering researchers to provide solutions for newly emerging problems in this field. This volume will not only provide novel ideas, work in progress and state-of-the-art techniques in the field, but will also stimulate future research activities in the area of parallel and distributed computing with applications.

New Horizons of Parallel and Distributed Computing is intended for industry researchers and developers, as well as for academic researchers and advanced-level students in computer science and electrical engineering. A valuable reference work, it is also suitable as a textbook.

The field of high performance computing achieved prominence through advances in electronic and integrated technologies beginning in the 1940s. Current times are very exciting and the years to come will witness a proliferation of the use of parallel and distributed systems. The scientific and engineering application domains have a key role in shaping future research and development activities in academia and industry, especially when the solution of large and complex problems must cope with harder and harder timing.
High Performance Scientific And Engineering Computing: Hardware/Software Support contains selected chapters on hardware/software support for high performance scientific and engineering computing from prestigious workshops in the fields such as PACT-SHPSEC, IPDPS-PDSECA and ICPP-HPSECA. This edited volume is basically divided into six main sections which include invited material from prominent researchers around the world. We believe all of these contributed chapters and topics not only provide novel ideas, new results and state-of-the-art techniques in this field, but also stimulate the future research activities in the area of high performance computing for science and engineering applications.
High Performance Scientific And Engineering Computing: Hardware/Software Support is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

The refereed proceedings of the International Symposium on Parallel and Distributed Processing and Applications, ISPA 2003, held in Aizu, Japan in July 2003.

The 30 revised full papers and 9 revised short papers presented together with abstracts of 4 keynotes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on applications on Web-based and intranet systems, compiler and optimization techniques, network routing, performance evaluation of parallel systems, wireless communication and mobile computing, parallel topology, data mining and evolutionary computing, image processing and modeling, network security, and database and multimedia systems.

Parallel Numerical Computations with Applications contains selected edited papers presented at the 1998 Frontiers of Parallel Numerical Computations and Applications Workshop, along with invited papers from leading researchers around the world. These papers cover a broad spectrum of topics on parallel numerical computation with applications; such as advanced parallel numerical and computational optimization methods, novel parallel computing techniques, numerical fluid mechanics, and other applications related to material sciences, signal and image processing, semiconductor technology, and electronic circuits and systems design. This state-of-the-art volume will be an up-to-date resource for researchers in the areas of parallel and distributed computing.

Autonomic Computing and Networking presents introductory and advanced topics on autonomic computing and networking with emphasis on architectures, protocols, services, privacy & security, simulation and implementation testbeds. Autonomic computing and networking are new computing and networking paradigms that allow the creation of self-managing and self-controlling computing and networking environments using techniques such as distributed algorithms and context-awareness to dynamically control networking functions without human interventions. Autonomic networking is characterized by recovery from failures and malfunctions, agility to changing networking environment, self-optimization and self-awareness. The self-control and management features can help to overcome the growing complexity and heterogeneity of exiting communication networks and systems. The realization of fully autonomic heterogeneous networking introduces several research challenges in all aspects of computing and networking and related fields.

As communication and networking (CN) become specialized and fragmented, it is easy to lose sight that many topics in CN have common threads and because of this, advances in one sub-discipline may transmit to another. The presentation of results between different sub-disciplines of CN encourages this interchange for the advan- ment of CN as a whole. Of particular interest is the hybrid approach of combining ideas from one discipline with those of another to achieve a result that is more signi- cant than the sum of the individual parts. Through this hybrid philosophy, a new or common principle can be discovered which has the propensity to propagate throu- out this multifaceted discipline. This volume comprises the selection of extended versions of papers that were p- sented in their shortened form at the 2008 International Conference on Future Gene- tion Communication and Networking (http: //www. sersc. org/FGCN2008/), Inter- tional Conference on Bio-Science and Bio-Technology (http: //www. sersc. org/ BSBT2008/), International Symposium on u- and e- Service, Science and Technology (http: //www. sersc. org/UNESST2008/), International Symposium on Database Theory and Application (http: //www. sersc. org/DTA2008/), International Symposium on Control and Automation (http: //www. sersc. org/CA2008/), International Symposium on Signal Processing, Image Processing and Pattern Recognition (http: //www. sersc. org/SIP2008/), International Symposium on Grid and Distributed Computing (ttp: //www. sersc. org/ GDC2008/), International Symposium on Smart Home (http: //www. sersc. org/SH2008/), and 2009 Advanced Science and Technology (http: //www. sersc. org/A

The continuous progress in scientific research is one of the important factors explaining the constantly increasing demand for computational power. On the other hand, one of the results of such progress is the availability of more powerful computer platforms. To that end, this volume reviews a broad array of subjects based on the solutions to the daily problems in industrial production, research, and development.

In the not too distant future, every researcher and professional in science and engineering fields will have to understand parallel and distributed computing. With hyperthreading in Intel processors, hypertransport links in AMD processors, multi-core silicon in today's high-end microprocessors from IBM and emerging cluster and grid computing, parallel and distributed computers have moved into the mainstream of computing. To fully exploit these advances in computer architectures, researchers and professionals must start to design parallel or distributed software, systems and algorithms for their scientific and engineering applications. Parallel and distributed scientific and engineering computing has become a key technology which will play an important part in determining, or at least shaping, future research and development activities in many academic and industrial branches. This book reports on the recent important advances in the area of parallel and distributed computing for science and engineering applications. Included in the book are selected papers from prestigious workshops such as PACT-SHPSEC, IPDPS-PDSECA and ICPP-HPSECA together with some invited papers from prominent researchers around the world. The book is divided into five main sections. These chapters not only provide novel ideas, new experimental results and handful experience in this field, but also stimulate the future research activities in the area of parallel and distributed computing for science and engineering applications.