You have only one week to save 20% on registration fees and be entered to win an iPod touch! Early-bird registration ends on March 12, 2010. Click here to register.

Join the information-packed, two-day event that will address new ideas for sharing technology to solve common problems.

The conference program is nearly complete. Take a look at the sessions.

Learn
The conference offers tracks for IT professionals, researchers, teachers and learners.

Participate
Demonstrate your research work to peers, government and industry at the Student Poster Competition. Entry deadline is April 02.

Contribute
Take part in discussion groups and panels, share your ideas.

Network
Connect with your peers at the evening reception on Tuesday, May 04. The two-day event offers plenty of opportunities to network with industry, government and academia.

Check the website for regular updates or follow BCNET on Twitter.

Workshop on Large-Scale System and Application Performance (LSAP2010)

in conjunction with the 19th International Symposium on High Performance Distributed Computing (HPDC-19)

Chicago, USA, June 21, 2010    
http://www.lsap2010.org

IMPORTANT DATES (with extended deadline) Submission deadline:
March 8, 2010 (11:59 PM EST) Author notification: April 8, 2010
Final papers due:    April 23, 2010
Workshop:            June 21, 2010

MISSION
Over the last decade, computer systems and applications in everyday use have grown to unprecedented scales. Large clusters serving millions of search requests per day, grids executing large workflows and parameter sweeps consisting of thousands of jobs, and supercomputers running complex e-science applications, have now hundreds of thousands of processing cores, and clouds are quickly emerging as a large-scale computing infrastructure.

In addition, peer-to-peer systems and centralized video distribution systems that dominate the internet, online social networks, and complicated internet applications such as massive multiplayer online games are used by millions of people every day.

In view of this tremendous growth, understanding the performance of large-scale computer systems and applications has become vital to institutional, commercial, and private interests. This workshop solicits original papers on performance evaluation methods, tools, and case studies *explicitly focusing on the challenges of large scale*, such as decentralization, predictable performance, reliability, and scalability. It aims to bring together system designers and researchers involved with the modeling and performance evaluation of large-scale systems and applications.

Topics of interest include but are not limited to:

Call for Papers

Challenges of Large Applications in Distributed Environments (CLADE) 2010

To be held in conjunction with HPDC-2010, 22 June 2010, Chicago, IL

Important Dates (all dates are firm):
Submissions Due: 15 March 2010
Paper Decisions Announced: 7 April 2010
Final Camera-Ready Papers Due: 23 April 2010
Workshop Date: 22 June 2010

There is an ongoing set of unsolved large-scale problems, requiring novel, large-scale, distributed applications that need to use advanced distributed cyberinfrastructure. This workshop focuses on the complex issues, such as adapting to heterogeneity and being dynamic in space and time, that arise in developing, deploying, and executing large-scale distributed computing applications in science, engineering, medicine, business, economics, education, and other disciplines. This includes recent results on large scale and/or innovative applications that effectively use distributed heterogeneous and dynamic computing environments.

There will be a workshop on March 15th on data-intensive research at the e-Science Institute in Edinburgh.

The event is described on the eSI events page which you should go to to register if you are able to come.

The provisional, but rapidly becoming firm timetable is can be found by clicking here and on the pages that it references.

The introduction to Monday begins:
----
The use of data in research is growing rapidly; the digital revolution generates more and more data, and policies encourage more data to be published. Expectations for openness, repeatability and evidence quality increase the data-use imperative.

Data use includes the data-curation lifecycle from creation or collection, through cleaning, integration, analysis, annotation, citation and presentation to preservation or discard. It includes finding data, developing an understanding of a body of data (often drawn from multiple sources), working out how to get evidence from data or what the newly available collections of data may now enable, deciding how to extract evidence from data possibly in combination with other data and presenting results so that evidence is understood, trusted and used.