A step towards a computing grid for the LHC experiments : ATLAS data challenge 1

The ATLAS Collaboration at CERN is preparing for the data taking and analysis at the LHC that will start in 2007. Therefore, a series of Data Challenges was started in 2002 whose goals are the validation of the Computing Model, of the complete software suite, of the data model, and to ensure the correctness of the technical choices to be made for the final offline computing environment. A major feature of the first Data Challenge (DC1) was the preparation and the deployment of the software required for the production of large event samples as a worldwide distributed activity. It should be noted that it was not an option to "run the complete production at CERN" even if we had wanted to; the resources were not available at CERN to carry out the production on a reasonable time-scale. The great challenge of organising and carrying out this large-scale production at a significant number of sites around the world had therefore to be faced. However, the benefits of this are manifold: apart from realising the required computing resources, this exercise created worldwide momentum for ATLAS computing as a whole. This report describes in detail the main steps carried out in DC1 and what has been learned form them as a step towards a computing Grid for the LHC experiments

The design and implementation of a customized, web-based learning environment.

by Ka-Po Ma.Thesis (M.Phil.)--Chinese University of Hong Kong, 2000.Includes bibliographical references (leaves 97-105).Abstracts in English and Chinese.Acknowledgments --- p.iiAbstract --- p.iiiChapter 1 --- Introduction --- p.1Chapter 1.1 --- Web-based Education --- p.1Chapter 1.2 --- Customized Web-based Learning --- p.3Chapter 1.3 --- Thesis Overview --- p.6Chapter 2 --- Web-based Education --- p.7Chapter 2.1 --- Impact on Traditional Learning --- p.8Chapter 2.2 --- Theoretical Perspectives on Teaching and Learning --- p.9Chapter 2.2.1 --- Behaviorism Versus Constructivism --- p.10Chapter 2.2.2 --- "Categorization of Individual, Group and Collaborative Learn- ing" --- p.12Chapter 2.3 --- On-line Eduation and Web-based Learning System --- p.15Chapter 2.4 --- Technologies used in Web-based Learning --- p.17Chapter 3 --- General Automated Timetabling --- p.21Chapter 3.1 --- Timtabling Problem --- p.21Chapter 3.2 --- Formulation and Solution Approaches --- p.22Chapter 4 --- "Virtual Campus, Customized Web-based Learning Environment" --- p.25Chapter 4.1 --- Changing Trend in Learning Process --- p.25Chapter 4.2 --- System Design Issue --- p.26Chapter 5 --- System Architecture Issue --- p.31Chapter 5.1 --- Client-server Model --- p.31Chapter 5.1.1 --- Server Side --- p.33Chapter 5.1.2 --- Client Side --- p.34Chapter 5.2 --- Functional-oriented Design --- p.35Chapter 5.3 --- Private Functionality Issue --- p.37Chapter 5.3.1 --- Access Authorizing --- p.37Chapter 5.3.2 --- Availability Updating --- p.40Chapter 5.3.3 --- Personal Information Querying and Modifying --- p.42Chapter 5.3.4 --- Status Selecting --- p.42Chapter 5.3.5 --- Current Online User Querying --- p.43Chapter 5.4 --- Lecture Functionality Issue --- p.44Chapter 5.5 --- Personal Scheduling Functionality Issue --- p.45Chapter 5.6 --- Collaboration Functionality Issue --- p.50Chapter 5.6.1 --- Chatting Room --- p.50Chapter 5.6.2 --- Discussion Board --- p.56Chapter 5.6.3 --- Personal URL-bookmark Keeping and Sharing --- p.57Chapter 6 --- Web-based Learning Scheduler (WL-Scheduler) --- p.59Chapter 6.1 --- "Web-based Customized Timetabling Problem, WCTP" --- p.60Chapter 6.2 --- Solution Approach - Local Search --- p.61Chapter 6.3 --- Algorithm for Approaching Feasible Timetables --- p.63Chapter 6.4 --- Evaluating The Best Timetable --- p.66Chapter 7 --- Multimedia Web Presentation System (MWPS) --- p.67Chapter 7.1 --- Overview --- p.67Chapter 7.2 --- System Components --- p.68Chapter 7.2.1 --- The MWPS Server Machine --- p.69Chapter 7.2.2 --- The MWPS Client Machine --- p.69Chapter 7.2.3 --- The Student Machine --- p.69Chapter 7.3 --- Presentation Flow --- p.69Chapter 7.4 --- Highlighed Features --- p.72Chapter 7.4.1 --- Slides Sequence Capturing --- p.72Chapter 7.4.2 --- Audio/Video Capturing --- p.72Chapter 7.4.3 --- Script-Text On Playback --- p.72Chapter 7.4.4 --- Student Feedbacking --- p.73Chapter 7.4.5 --- White Board Facility --- p.73Chapter 8 --- Illustration via Screen-shots --- p.74Chapter 8.1 --- Login Screen --- p.74Chapter 8.2 --- Functionality provided for Students --- p.75Chapter 8.2.1 --- Personalized Learning Timetable --- p.76Chapter 8.2.2 --- Lecture Delivery --- p.78Chapter 8.2.3 --- Checking active users in Virtual Campus --- p.78Chapter 8.2.4 --- View and Update Personal Information --- p.79Chapter 8.2.5 --- Taking An Entry Test for Interesting Subject --- p.81Chapter 8.2.6 --- Changing Current State --- p.84Chapter 8.2.7 --- Discussion Board --- p.84Chapter 8.2.8 --- Chatting Room --- p.85Chapter 8.3 --- Functionality provided for Teachers --- p.85Chapter 8.4 --- Functionality provided for Administrators --- p.92Chapter 9 --- Conclusion --- p.94Appendix --- p.106Chapter A --- Appendix --- p.106Chapter A.1 --- Internet Technology --- p.106Chapter A.2 --- Web Server --- p.107Chapter A.3 --- Web Client/Server Example --- p.10

LHCb upgrade software and computing : technical design report

This document reports the Research and Development activities that are carried out in the software and computing domains in view of the upgrade of the LHCb experiment. The implementation of a full software trigger implies major changes in the core software framework, in the event data model, and in the reconstruction algorithms. The increase of the data volumes for both real and simulated datasets requires a corresponding scaling of the distributed computing infrastructure. An implementation plan in both domains is presented, together with a risk assessment analysis

The state of peer-to-peer network simulators

Networking research often relies on simulation in order to test and evaluate new ideas. An important requirement of this process is that results must be reproducible so that other researchers can replicate, validate and extend existing work. We look at the landscape of simulators for research in peer-to-peer (P2P) networks by conducting a survey of a combined total of over 280 papers from before and after 2007 (the year of the last survey in this area), and comment on the large quantity of research using bespoke, closed-source simulators. We propose a set of criteria that P2P simulators should meet, and poll the P2P research community for their agreement. We aim to drive the community towards performing their experiments on simulators that allow for others to validate their results

3rd EGEE User Forum

We have organized this book in a sequence of chapters, each chapter associated with an application or technical theme introduced by an overview of the contents, and a summary of the main conclusions coming from the Forum for the chapter topic. The first chapter gathers all the plenary session keynote addresses, and following this there is a sequence of chapters covering the application flavoured sessions. These are followed by chapters with the flavour of Computer Science and Grid Technology. The final chapter covers the important number of practical demonstrations and posters exhibited at the Forum. Much of the work presented has a direct link to specific areas of Science, and so we have created a Science Index, presented below. In addition, at the end of this book, we provide a complete list of the institutes and countries involved in the User Forum

Building the Future Internet through FIRE

The Internet as we know it today is the result of a continuous activity for improving network communications, end user services, computational processes and also information technology infrastructures. The Internet has become a critical infrastructure for the human-being by offering complex networking services and end-user applications that all together have transformed all aspects, mainly economical, of our lives. Recently, with the advent of new paradigms and the progress in wireless technology, sensor networks and information systems and also the inexorable shift towards everything connected paradigm, first as known as the Internet of Things and lately envisioning into the Internet of Everything, a data-driven society has been created. In a data-driven society, productivity, knowledge, and experience are dependent on increasingly open, dynamic, interdependent and complex Internet services. The challenge for the Internet of the Future design is to build robust enabling technologies, implement and deploy adaptive systems, to create business opportunities considering increasing uncertainties and emergent systemic behaviors where humans and machines seamlessly cooperate

Remote sensing big data computing: challenges and opportunities

As we have entered an era of high resolution earth observation, the RS data are undergoing an explosive growth. The proliferation of data also give rise to the increasing complexity of RS data, like the diversity and higher dimensionality characteristic of the data. RS data are regarded as RS ‘‘Big Data’’. Fortunately, we are witness the coming technological leapfrogging. In this paper, we give a brief overview on the Big Data and data-intensive problems, including the analysis of RS Big Data, Big Data challenges, current techniques and works for processing RS Big Data