IEEE Cloud 2011 took place in Washington DC from July 4 to 6, 2011.
The full name of the conference is The 4th International Conference on Cloud Computing and it was co-located with three related conferences: 1) IEEE Services 2011 (The 7th World Congress on Services), 2) IEEE SCC 2011 (The 8th International Conference on Services Computing), and 3) IEEE ICWS 2011 (The 9th International Conference on Web Services).
There were a lot of different technical topics covered. The diagram below shows you some of them.
In addition, all four conferences worked together and sponsored several plenary panels. I participated in one of them called “Science in Cloud Computing.” I have posted my slides on slideshare and you can find them here.
One of the topics that I work on these days is data intensive computing and in particular its impact on science. The popular term is big data science. Data intensive computing and big data has had an important impact on business over the past decade, but its impact on science is just beginning to be felt.
In my talk for the plenary panel, I described a project that I have been working on called the Open Science Data Cloud (OSDC). The OSDC is sponsored by the not-for-profit Open Cloud Consortium (OCC). We are working with OCC partners and sponsors to stand up a cloud devoted to science. Initially it will contain approximately 1 PB of data from a variety of scientific disciplines.
We are looking for volunteers to help with the OSDC, so please contact us at info at opencloudconsortium.org if you would like to get involved. We are looking for help loading and curating the data, data intensive computing cloud infrastructure, helping with the web site, and outreach.
Based upon my experience with the OSDC over the past year, I ended my presentation in the plenary panel with three research questions related to data intensive computing and cloud computing:
- Develop technology to encapsulate a scientist’s data and analysis tools and to export, save and move these between clouds.
- Develop protocols, utilities, and applications so that new racks and containers can be added to data clouds with minimal human involvement.
- Develop technology to support the long term (20+ years), low cost preservation of data and metadata in clouds.
Source: The diagram is from http://www.servicescongress.org/2011/.