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Astrolabe: A Robust and Scalable Technology for Distributed System Monitoring, Management, and Data Mining

by Robbert Van Renesse, Kenneth P. Birman, Werner Vogels - ACM Transactions on Computer Systems , 2001
"... this paper, we describe a new information management service called Astrolabe. Astrolabe monitors the dynamically changing state of a collection of distributed resources, reporting summaries of this information to its users. Like DNS, Astrolabe organizes the resources into a hierarchy of domains, wh ..."
Abstract - Cited by 452 (27 self) - Add to MetaCart
this paper, we describe a new information management service called Astrolabe. Astrolabe monitors the dynamically changing state of a collection of distributed resources, reporting summaries of this information to its users. Like DNS, Astrolabe organizes the resources into a hierarchy of domains, which we call zones to avoid confusion, and associates attributes with each zone. Unlike DNS, zones are not bound to specific servers, the attributes may be highly dynamic, and updates propagate quickly; typically, in tens of seconds

The anatomy of the Grid: Enabling scalable virtual organizations.

by Ian Foster , • , Carl Kesselman , Steven Tuecke - The International Journal of High Performance Computing Applications , 2001
"... Abstract "Grid" computing has emerged as an important new field, distinguished from conventional distributed computing by its focus on large-scale resource sharing, innovative applications, and, in some cases, high-performance orientation. In this article, we define this new field. First, ..."
Abstract - Cited by 2673 (86 self) - Add to MetaCart
access, resource discovery, and other challenges. It is this class of problem that is addressed by Grid technologies. Next, we present an extensible and open Grid architecture, in which protocols, services, application programming interfaces, and software development kits are categorized according

VL2: Scalable and Flexible Data Center Network”,

by Albert Greenberg , James R Hamilton , Navendu Jain , Srikanth Kandula , Changhoon Kim , Parantap Lahiri , David A Maltz , Parveen Patel , Sudipta Sengupta - ACM SIGCOMM Computer Communication Review, , 2009
"... Abstract To be agile and cost e ective, data centers should allow dynamic resource allocation across large server pools. In particular, the data center network should enable any server to be assigned to any service. To meet these goals, we present VL, a practical network architecture that scales t ..."
Abstract - Cited by 461 (12 self) - Add to MetaCart
leverages proven network technologies, already available at low cost in high-speed hardware implementations, to build a scalable and reliable network architecture. As a result, VL networks can be deployed today, and we have built a working prototype. We evaluate the merits of the VL design using

Data networks

by L. Verger G, E. Gros D'aillon G, P. Major H, G. Németh H , 1992
"... a b s t r a c t In this paper we illustrate the core technologies at the basis of the European SPADnet project (www. spadnet.eu), and present the corresponding first results. SPADnet is aimed at a new generation of MRI-compatible, scalable large area image sensors, based on CMOS technology, that are ..."
Abstract - Cited by 2210 (5 self) - Add to MetaCart
a b s t r a c t In this paper we illustrate the core technologies at the basis of the European SPADnet project (www. spadnet.eu), and present the corresponding first results. SPADnet is aimed at a new generation of MRI-compatible, scalable large area image sensors, based on CMOS technology

Understanding Code Mobility

by Alfonso Fuggetta, Gian Pietro Picco, Giovanni Vigna - IEEE COMPUTER SCIENCE PRESS , 1998
"... The technologies, architectures, and methodologies traditionally used to develop distributed applications exhibit a variety of limitations and drawbacks when applied to large scale distributed settings (e.g., the Internet). In particular, they fail in providing the desired degree of configurability, ..."
Abstract - Cited by 560 (34 self) - Add to MetaCart
The technologies, architectures, and methodologies traditionally used to develop distributed applications exhibit a variety of limitations and drawbacks when applied to large scale distributed settings (e.g., the Internet). In particular, they fail in providing the desired degree of configurability

The Google File System

by Sanjay Ghemawat, Howard Gobioff, Shun-tak Leung - ACM SIGOPS OPERATING SYSTEMS REVIEW , 2003
"... We have designed and implemented the Google File System, a scalable distributed file system for large distributed data-intensive applications. It provides fault tolerance while running on inexpensive commodity hardware, and it delivers high aggregate performance to a large number of clients. While s ..."
Abstract - Cited by 1501 (3 self) - Add to MetaCart
We have designed and implemented the Google File System, a scalable distributed file system for large distributed data-intensive applications. It provides fault tolerance while running on inexpensive commodity hardware, and it delivers high aggregate performance to a large number of clients. While

Grid Information Services for Distributed Resource Sharing

by Karl Czajkowski , Steven Fitzgerald, Ian Foster, Carl Kesselman , 2001
"... Grid technologies enable large-scale sharing of resources within formal or informal consortia of individuals and/or institutions: what are sometimes called virtual organizations. In these settings, the discovery, characterization, and monitoring of resources, services, and computations are challengi ..."
Abstract - Cited by 712 (52 self) - Add to MetaCart
Grid technologies enable large-scale sharing of resources within formal or informal consortia of individuals and/or institutions: what are sometimes called virtual organizations. In these settings, the discovery, characterization, and monitoring of resources, services, and computations

Phase-change random access memory: A scalable technology

by S. Raoux, G. W. Burr, M. J. Breitwisch, C. T. Rettner, Y. -c. Chen, R. M. Shelby, M. Salinga, D. Krebs, S. -h. Chen, H. -l. Lung, C. H. Lam - IBM JOURNAL OF RESEARCH AND DEVELOPMENT , 2008
"... Nonvolatile RAM using resistance contrast in phase-change materials [or phase-change RAM (PCRAM)] is a promising technology for future storage-class memory. However, such a technology can succeed only if it can scale smaller in size, given the increasingly tiny memory cells that are projected for fu ..."
Abstract - Cited by 49 (1 self) - Add to MetaCart
Nonvolatile RAM using resistance contrast in phase-change materials [or phase-change RAM (PCRAM)] is a promising technology for future storage-class memory. However, such a technology can succeed only if it can scale smaller in size, given the increasingly tiny memory cells that are projected

A survey of peer-to-peer content distribution technologies

by Stephanos Androutsellis-theotokis, Diomidis Spinellis - ACM Computing Surveys , 2004
"... Distributed computer architectures labeled “peer-to-peer ” are designed for the sharing of computer resources (content, storage, CPU cycles) by direct exchange, rather than requiring the intermediation or support of a centralized server or authority. Peer-to-peer architectures are characterized by t ..."
Abstract - Cited by 378 (7 self) - Add to MetaCart
typically allow personal computers to function in a coordinated manner as a distributed storage medium by contributing, searching, and obtaining digital content. In this survey, we propose a framework for analyzing peer-to-peer content distribution technologies. Our approach focuses on nonfunctional

Querying the Internet with PIER

by Ryan Huebsch, Joseph M. Hellerstein, Nick Lanham, Boon Thau Loo, Scott Shenker, Ion Stoica - IN VLDB , 2003
"... The database research community prides itself on scalable technologies. Yet database systems traditionally do not excel on one important scalability dimension: the degree of distribution. This limitation has hampered the impact of database technologies on massively distributed systems like the Inter ..."
Abstract - Cited by 340 (30 self) - Add to MetaCart
The database research community prides itself on scalable technologies. Yet database systems traditionally do not excel on one important scalability dimension: the degree of distribution. This limitation has hampered the impact of database technologies on massively distributed systems like
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