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Special Issue Overview

Cloud computing first established in the business computing domain is now a topic of research in computer science and an interesting execution platform for science applications. Today there are a number of commercial and science cloud deployments, including those provided by Amazon, Google, IBM, Microsoft, and others. Campus and national labs are also deploying their own cloud solutions. The ability to control the resources and the pay-as-you go usage model enables new approaches to application development and resource provisioning. Science applications are looking towards the cloud to provide a stable and customizable execution environment. This special issue of the Scientific Programming Journal is dedicated to the computational challenges and opportunities of cloud computing.

For more information on previous related workshops (and journal special issues) we have organized in the past, please see: ScienceCloud2011, DataCloud2011, TPDS_MTC_2011, ScienceCloud2010, WORKS10, MTAGS10, WORKS09, MTAGS09, WORKS08, MTAGS08, SWBES08, SWF07, WORKS07, and WORKS06.

Topics

We invite the submission of original work that is related to the topics below. Topics of interest include (in the context of Cloud Computing):

• Scientific cloud applications

• Novel programming models

• High-performance computing

• Many-task computing

• Resource scheduling

• Compute resource management

• Resource provisioning and configuration (compute, data, and network)

• Adaptive computing and resource usage

• Power-aware use of clouds computing

• Storage cloud architectures and implementations

• Cloud scalability and elasticity

• Performance Evaluations and Benchmarks

• Quality of service and SLA management

• Cloud heterogeneity

• Charging models

• Models, frameworks and systems for cloud security and privacy

• Monitoring

Paper Submission and Publication

Authors are encouraged to submit high quality, original work that has neither appeared in, nor is under consideration by other journals. The manuscript must follow the formatting instructions found at the Scientific Programming site at http://www.iospress.nl/html/10589244_ita.html. Papers should be not more than 25 pages of single column text using double spaced 10 point size on 8.5 x 11 inch pages and 1" margins (including all text, figures, and references). A 250 word abstract (PDF format) must be submitted online at https://cmt.research.microsoft.com/SPJ_ScienceCloud_2011/ before the deadline of October 22nd, 2010 at 11:59PM PST; the final 25 page papers in PDF format will be due on October 29th, 2010 at 11:59PM PST. Papers will be peer-reviewed, and accepted papers will be published in the IOS Press. Notifications of the paper decisions will be sent out by December 1st, 2010. Accepted papers will be published by IOS Press without any fees to the authors. For more information, please visit http://www.cs.iit.edu/~iraicu/SPJ_ScienceCloud_2011/.

Important Dates

Abstract Due:                                         October 22nd, 2010 November 5th, 2010

Papers Due:                                           October 29th, 2010 November 5th, 2010

Reviews Completed:                              December 1st, 2010 January 7th, 2011

Publication Date:                                    Early 2011

Guest Editors

• Ivona Brandic, Vienna University of Technology

• Ewa Deelman, University of Southern California

• Ioan Raicu, Illinois Institute of Technology

Dr. Ivona Brandic is Assistant Professor at the Distributed Systems Group, Information Systems Institute, Vienna University of Technology (TU Wien). Prior to that, she was Assistant Professor at the Department of Scientific Computing, Vienna University. She received her PhD degree from Vienna University of Technology in 2007. From 2003 to 2007 she participated in the special research project AURORA (Advanced Models, Applications and Software Systems for High Performance Computing) and the European Union's GEMSS (Grid-Enabled Medical Simulation Services) project. She is involved in the European Union's SCube project and she is leading the Austrian national FoSII (Foundations of Self-governing ICT Infrastructures) project funded by the Vienna Science and Technology Fund (WWTF). She is Management Committee member of the European Commission's COST Action on Energy Efficient Large Scale Distributed Systems. From June-August 2008 she was visiting researcher at the University of Melbourne. Her interests comprise SLA and QoS management, Service-oriented architectures, autonomic computing, workflow management, and large scale distributed systems (Cloud, Grid, Cluster, etc.).

Dr. Ewa Deelman is a Project Leader in the Advanced Systems Division at the University of Southern California (USC) Information Sciences Institute (ISI). She is also a Research Associate Professor in the Computer Science Department at USC. Her main area of research is scientific workflow management in Grids. As part of this work, she is leading the design and development of the Pegasus software that maps complex application workflows onto distributed resources. Pegasus is being used in a variety of scientific applications. She is also interested in large-scale data management issues, especially concerning metadata management. In particular, she is leading the design and development of the Metadata Catalog Service (MCS), a catalog that allows for the storing and querying of descriptive attributes associated with data objects such as files. Before joining ISI, she was a Sr. Development Engineer in the Parallel Computing Laboratory at UCLA. She received her PhD in Computer Science from Rensselaer Polytechnic Institute in 1997, focusing on "Optimizing Parallel Discrete Event Simulation for Spatially Explicit Problems".

Dr. Ioan Raicu is an assistant professor in the Department of Computer Science at Illinois Institute of Technology. He was a NSF/CRA Computation Innovation Fellow at Northwestern University in 2009 - 2010, and obtained his Ph.D. in Computer Science from University of Chicago under the guidance of Dr. Ian Foster in 2009. He is a 3-year award winner of the GSRP Fellowship from NASA Ames Research Center. His research work and interests are in the general area of distributed systems. His work focuses on a relatively new paradigm of Many-Task Computing (MTC), which aims to bridge the gap between two predominant paradigms from distributed systems, High-Throughput Computing (HTC) and High-Performance Computing (HPC). His work has focused on defining and exploring both the theory and practical aspects of realizing MTC across a wide range of large-scale distributed systems. He is particularly interested in efficient task dispatch and execution systems, resource provisioning, data management, scheduling, and performance evaluations in distributed systems. His work has been funded by the NASA Ames Research Center, DOE Office of Advanced Scientific Computing Research, and the NSF/CRA CIFellows program. Ioan's research interests include resource management in large scale distributed systems with a focus on many-task computing, data intensive computing, cloud computing, grid computing, and many-core computing. He is a member of the ACM and IEEE.

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