February 29, 2012
"Cloud" is a common metaphor for an Internet accessible infrastructure, hiding most of the implementation and deployment details in the field of ICT. Cloud computing is becoming a scalable services delivery and consumption platform. The backbone behind cloud computing includes service-oriented architecture (SOA) and virtualization of hardware and software.
The goal of cloud computing is to share resources among the cloud service consumers, cloud partners and cloud vendors in the cloud value chain. Cloud computing has been envisaged to be one of the main stream powering technologies of future ICT and next generation network.
The Cloud&Grid 2012 focus on Interoperability issues of grid and computing domain. It mainly focus on designing interoperable components, experiences and lessons learnt from developing interoperable services in the cloud and grid environment. This workshop aims at providing a forum to bring together researchers for sharing and exchanging cloud and Grid computing related research, technologies, experience, and lessons for building clouds of interoperability and coordination capabilities and services.
We believe this workshop will be a place to help the research community to define their novel ideas in the current state of grid-cloud interoperability issues. In addition the workshop will help to define the future goals and services that cloud needs to support in various intensive commercial and enterprise application.
The conference is now soliciting papers describing original work, unpublished and not currently submitted for publication elsewhere in the following areas, including but not limited to:
- Cloud Architectures
- Software, platform, hardware, and infrastructure as a Service
- Novel architectural models for cloud computing and grid-cloud interoperability
- Scalable resource management solutions
- Cloud resource provisioning with QoS
- High availability with failure detection, prediction, and recovery
- Identity, metering, and privacy in Cloud
- Management of virtualized resources
- Workload and resource scheduling
- New parallel / concurrent programming models for cloud computing
- Content Delivery Networks using Storage Clouds
- Interoperability / portability of applications and data between different cloud providers
- Virtualization Technologies
- Service-oriented Computing
- Management of Clouds
- Security issues in cloud and grid computing
- Fault tolerance, Reliability of applications and services running on the cloud
- Case studies of the cloud and grid computing
James J. (Jong Hyuk) Park, SeoulTech, Korea
Young-Sik Jeong, Wonkwang University, Korea
Hamid R. Arabnia, The University of Georgia, USA
HeonChang Yu, Korea University, Korea
Bo Hong, Georgia Institute of Technology, USA
Chao-Tung Yang, Tunghai University, Taiwan
Laurent Lefevre, INRIA, University of Lyon, France
Ching-Hsien Hsu, Chung Hua University, Taiwan
Akihiro Fujiwara, Kyushu Institute of Technology, Japan
Jinjun Chen, Swinburne University of Technology, Australia
Johannes Watzl, Ludwig-Maximilians-Universität München, Germany
Paper Submission and Proceeding
There will be a combination of presentations including scientific papers. Prospective authors are invited, in the first instance, to submit papers for oral presentations in any of the areas of interest for this workshop.
Papers must strictly adhere to page limits as follows.
- Full Paper: 8 pages (Max 2 extra pages allowed at additional cost)
- Regular Paper: 6 pages (Max 2 extra pages allowed at additional cost)
- Poster Paper: 2 pages (FTRA Publishing Proceeding with ISBN)
Papers exceeding the page limits will be rejected without review. CLOUD&GRID 2012 submission should be made by system to http://www.editorialsystem.net/cloudgrid2012.
Instructions for papers in the Springer's CCIS (Note that the paper format of CCIS is the same as that of LNCS).
- Prepare your paper in the exact format as the sample paper for CCIS. Failure to do so may result in the exclusion of your paper from the proceedings. Please read the authors' instructions carefully before preparing your papers.
- Springer accepts both Microsoft Word and LaTex format in the Lecture Note Series. However, FTRA does not accept the use of LaTex. Therefore, you should use the Microsoft Word instead of using LaTex (The paper will be excluded from the proceeding if you use LaTex). Springer provides the relevant templates and sample files for both PC (sv-lncs.dot) and Mac (sv-lncs) environments.
- Please download word.zip (http://www.springer.com/cda/content/document/cda_downloaddocument/word.zip?SGWID=0-0-45-72919-0).
If you need more help on preparing your papers, visit Springer's LNCS web page (http://www.springer.com/computer/lncs?SGWID=0-164-2-72376-0).
Distinguished papers accepted and presented in Cloud&Grid 2012, after further revisions, will be published in the special issues of the following international journals:
- The Journal of Supercomputing (JoS) - Springer (SCI)
- Cluster Computing (CC) - Springer (SCI-E)
- Human-centric Computing and Information Science (HCIS) - Springer (Open Access)
- International Journal of Information Technology, Communications and Convergence (IJITCC) - Inderscience
- Journal of Convergence (JoC) - FTRA Publishing
- Full paper submission due: March 10, 2012
- Notification of acceptance: April 10, 2012
- Camera-ready paper upload due: May 18, 2012
- Authors registration due: May 18, 2012
- Workshop dates: September 6-8, 2012
Source: Cloud&Grid 2012
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.