Use of the European Data Grid software in the framework of the BaBar distributed computing model
نویسندگان
چکیده
D. Boutigny Laboratoire de Physique des Particules, F-74941, Annecy-le-Vieux, France D.H. Smith University of Birmingham, Birmingham B15 2TT, United Kingdom E. Antonioli, C. Bozzi, E. Luppi, P. Veronesi Università di Ferrara, Dipartimento di Fisica and INFN, I-44100 Ferrara, Italy G. Grosdidier Laboratoire de l'Accélérateur Linéaire, F91898 Orsay, France D. Colling, J. Martyniak, R. Walker University of London, Imperial College, London SW7 2BW, United Kingdom R. Barlow, A. Forti, A. McNab University of Manchester, Manchester M13 9PL, United Kingdom P. Elmer Princeton University, Princeton, New Jersey 08544 T. Adye Rutherford Appleton Laboratory, Chilton, Didcot, Oxon OX11 0QX, United Kingdom B. Bense, R. D. Cowles, A. Hasan, D. A. Smith Stanford Linear Accelerator Center, Stanford, California 94309
منابع مشابه
Data Replication-Based Scheduling in Cloud Computing Environment
Abstract— High-performance computing and vast storage are two key factors required for executing data-intensive applications. In comparison with traditional distributed systems like data grid, cloud computing provides these factors in a more affordable, scalable and elastic platform. Furthermore, accessing data files is critical for performing such applications. Sometimes accessing data becomes...
متن کاملA Framework for Evaluating Cloud Computing User’s Satisfaction in Information Technology Management
Cloud computing is a new discussion in enterprise IT. It has already become popular in terms of distributed technology in some companies. It enables managers to setup and run the intended businesses by avoiding excessive spending on computers, software and hiring expert staff, which proves to be cost effective. Cloud computing also helps users pay for the IT services without spending massive am...
متن کاملE2DR: Energy Efficient Data Replication in Data Grid
Abstract— Data grids are an important branch of gird computing which provide mechanisms for the management of large volumes of distributed data. Energy efficiency has recently emerged as a hot topic in large distributed systems. The development of computing systems is traditionally focused on performance improvements driven by the demand of client's applications in scientific and business domai...
متن کاملDisTriB: Distributed Trust Management Model Based on Gossip Learning and Bayesian Networks in Collaborative Computing Systems
The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...
متن کاملProduction of BABAR skimmed analysis datasets using the Grid
The BABAR Collaboration, based at Stanford Linear Accelerator Center (SLAC), Stanford, US, has been performing physics reconstruction, simulation studies and data analysis for 8 years using a number of compute farms around the world. Recent developments in Grid technologies could provide a way to manage the distributed resources in a single coherent structure. We describe enhancements to the BA...
متن کاملAn Effective Task Scheduling Framework for Cloud Computing using NSGA-II
Cloud computing is a model for convenient on-demand user’s access to changeable and configurable computing resources such as networks, servers, storage, applications, and services with minimal management of resources and service provider interaction. Task scheduling is regarded as a fundamental issue in cloud computing which aims at distributing the load on the different resources of a distribu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003