Grid Computing: The New Frontier of High Performance Computing, Volume 14

Description      

The book deals with the most recent technology of distributed computing.
As Internet continues to grow and provide practical connectivity between users of computers it has become possible to consider use of computing resources which are far apart and connected by Wide Area Networks.
Instead of using only local computing power it has become practical to access computing resources widely distributed. In some cases between different countries in other cases between different continents.
This idea of using computer power is similar to the well known electric power utility technology. Hence the name of this distributed computing technology is the Grid Computing.
Initially grid computing was used by technologically advanced scientific users.
They used grid computing to experiment with large scale problems which required high performance computing facilities and collaborative work.
In the next stage of development the grid computing technology has become effective and economically attractive for large and medium size commercial companies.
It is expected that eventually the grid computing style of providing computing power will become universal reaching every user in industry and business.

Table of Contents 

EDITOR PREFACE.

FOREWORD.

LIST OF CONTRIBUTORS.

PART 1 GENERAL ISSUES.

The Advanced Networks and Services Underpinning Modern, Large-Scale Science: DOE's Esnet , W. E. Johnston.
Netsolve: Grid Enabling Scientific Computing Environments, K. Seymour, A. Yarkhan, S. Agrawal, and J. Dongarra.
Operations Research Methods for Resource Management and Scheduling in a Computational Grid: a Survey,
A. Attanasio, G. Ghiani, L. Grandinetti, E. Guerriero and F. Guerriero.
Peer-to-Peer Protocols and Grid Services for Resource Discovery on Grids, D. Talia and P. Trunfio.
Data Placement in Widely Distributed Environments,
T. Kosar, S.-C. Son, G. Kola and M. Livny.
The Grid Relational Catalog Project, G. Aloisio, M. Cafaro, S. Fiore and M. Mirto.

PART 2 PERFORMANCE.

The "MIND" Scalable PIM Architecture, T. Sterling and M. Brodowicz.
SLA-aware Job Migration in Grid Environments,
F. Heine, M. Hovestadt, O. Kao and A. Keller
Micro-grids - the exploitation of massive on-chip concurrency, C. R. Jesshope
Autonomous Performance and Risk Management in Large
Distributed Systems and Grids, M. Brittan and J. Kowalik
Optimization Techniques for Skeletons on Grids,
M. Aldinucci, M. Danelutto, J. Duennweber and S. Gorlatch
Towards a Middleware Framework for Dynamically Reconfigurable Scientific Computing, K. El Maghraoui, T. Desell, B. K. Szymanski, J. D. Teresco, and C. A. Varela.

PART 3 APPLICATIONS.

Messaging in Web Service Grid with Applications to Geographical Information Systems, G. Fox, S. Pallickara, G. Aydin and M. Pierce
NewsGrid, S. Geisler, G. R. Joubert
UNICORE – From Project Results to Production Grids,
A. Streit, D. Erwin, Th. Lippert, D. Mallmann, R. Menday, M. Rambadt, M. Riedel, M. Romberg, B. Schuller and Ph. Wieder
Developing Innovative Technologies for the Grid,
J.-P. Prost, L. Berman, R. Chang, M. Devarakonda, M. Haynos, W.-S. Li, Y. Li, I. Narang, J. Unger and D. Verma
Tools for Efficient Subsetting and Pipelined Processing of Large Scale, Distributed Biomedical Image Data, M. Ribeiro, T. Kurc,Tony Pan, K. Huang, U. Catalyurek, X. Zhang, S. Langella, S. Hastings, S. Oster, R. Ferreira and J. Saltz.

描述

這本書涵蓋了最新的分散式計算技術。隨著互聯網的不斷發展和提供實際的計算機連接，我們可以考慮使用遠距離且通過廣域網絡連接的計算資源。現在不僅僅使用本地計算能力，而且可以廣泛分佈地訪問計算資源。有時是在不同國家之間，有時是在不同大陸之間。這種利用計算能力的想法類似於眾所周知的電力公用事業技術。因此，這種分散式計算技術被稱為網格計算。最初，網格計算是由技術先進的科學用戶使用的。他們使用網格計算來研究需要高性能計算設施和協作工作的大規模問題。在發展的下一階段，網格計算技術對於大型和中型商業公司來說變得有效和具有經濟吸引力。預計最終提供計算能力的網格計算方式將成為普遍的，達到工業和商業中的每個用戶。

目錄

編者前言。
前言。
貢獻者名單。
第一部分：一般問題。
支撐現代大規模科學的先進網絡和服務：DOE的Esnet，W.E. Johnston。
Netsolve：網格使科學計算環境成為可能，K. Seymour，A. Yarkhan，S. Agrawal和J. Dongarra。
計算網格中的資源管理和調度的運營研究方法：一項調查，A. Attanasio，G. Ghiani，L. Grandinetti，E. Guerriero和F. Guerriero。
點對點協議和網格服務用於網格上的資源發現，D. Talia和P. Trunfio。
在廣泛分佈的環境中的數據放置，T. Kosar，S.-C. Son，G. Kola和M. Livny。
網格關聯目錄項目，G. Aloisio，M. Cafaro，S. Fiore和M. Mirto。
第二部分：性能。
“MIND”可擴展的PIM架構，T. Sterling和M. Brodowicz。
網格環境中的SLA感知作業遷移，F. Heine，M. Hovestadt，O. Kao和A. Keller。
微網格-大規模芯片並發的利用，C.R. Jesshope。
大型分佈式系統和網格中的自主性能和風險管理，M. Brittan和J. Kowalik。
網格上的骨架優化技術，M. Aldinucci，M. Danelutto，J. Duennweber和S. Gorlatch。
面向動態可重構科學計算的中間件框架，K. El Maghraoui，T. Desell，B.K. Szymanski，J.D. Teresco和C.A. Varela。

第三部分：應用。
在Web服務網格中的消息傳遞及其在地理信息系統中的應用，G. Fox，S. Pallickara，G. Aydin和M. Pierce。
NewsGrid，S. Geisler，G.R. Joubert。
UNICORE-從項目結果到生產網格，A. Streit，D. Erwin，Th. Lippert，D. Mallmann，R. Menday，M. Rambadt，M. Riedel，M. Romberg，B. Schuller和Ph. Wieder。
開發創新技術用於網格，J.-P. Prost，L. Berman，R. Chang，M. Devarakonda，M. Haynos，W.-S. Li，Y. Li，I. Narang，J. Unger和D. Verma。
用於大規模分佈式生物醫學圖像數據的高效子集和流水線處理工具，M. Ribeiro，T. Kurc，Tony Pan，K. Huang，U. Catalyurek，X. Zhang，S. Langella，S. Hastings，S. Oster，R.