Call for Papers
------------------------------
IEEE Transaction on Cloud Computing
Special Issue on Many-Task Computing in the Cloud
http://datasys.cs.iit.edu/even
==============================
The Special Issue on Many-Task Computing (MTC) in the Cloud will provide the scientific community a dedicated forum, within the prestigious IEEE Transactions on Cloud Computing journal, for presenting new research, development, and deployment efforts of loosely coupled large scale applications on Cloud Computing infrastructure. MTC, the theme of this special issue, encompasses loosely coupled applications, which are generally composed of many tasks to achieve some larger application goal. This special issue will cover challenges that can hamper efficiency and utilization in running applications on large-scale systems, such as local resource manager scalability and granularity, efficient utilization of raw hardware, parallel file-system contention and scalability, data management, I/O management, reliability at scale, and application scalability. We welcome paper submissions in theoretical, simulations, and systems topics with special consideration to papers addressing the intersection of petascale/exascale challenges with large-scale cloud computing. We seek submission of papers that present new, original and innovative ideas for the "first" time in TCC (Transactions on Cloud Computing). That means, submission of "extended versions" of already published works (e.g., conference/workshop papers) is not encouraged unless they contain significant number of "new and original" ideas/contributions along with more than 49% brand "new" material.
For more information on past workshops and special issues on Many-Task Computing, see http://datasys.cs.iit.edu/even
For more information on this special issue, please see http://datasys.cs.iit.edu/even
Topics
------------------------------
We seek submission of papers that present new, original and innovative ideas for the "first" time in TCC (Transactions on Cloud Computing). That means, submission of "extended versions" of already published works (e.g., conference/workshop papers) will only be encouraged if they contain significant number of "new and original" ideas/contributions along with more than 49% brand "new" material. TCC expects submissions to be complete in all respects including author names, affiliation, bios etc. Manuscript should be 14 double column pages (all regular paper page limits include references and author biographies). We aim to cover topics related to Many-Task Computing and Cloud Computing. Topics of interest include:
* Compute Resource Management
* Scheduling
* Job execution frameworks
* Local resource manager extensions
* Performance evaluation of resource managers in use on large scale systems
* Dynamic resource provisioning
* Techniques to manage many-core resources and/or GPUs
* Challenges and opportunities in running many-task workloads on Cloud Computing infrastructure
* Storage architectures and implementations
* Distributed file systems
* Parallel file systems
* Distributed meta-data management
* Content distribution systems for large data
* Data caching frameworks and techniques
* Data management within and across data centers
* Data-aware scheduling
* Data-intensive computing applications
* Eventual-consistency storage usage and management
* Programming models and tools
* Map-reduce and its generalizations
* Many-task computing middleware and applications
* Parallel programming frameworks
* Ensemble MPI techniques and frameworks
* Service-oriented science applications
* Large-Scale Workflow Systems
* Workflow system performance and scalability analysis
* Scalability of workflow systems
* Workflow infrastructure and e-Science middleware
* Programming Paradigms and Models
* Large-Scale Many-Task Applications
* High-throughput computing (HTC) applications
* Data-intensive applications
* Quasi-supercomputing applications, deployments, and experiences
* Performance Evaluation
* Performance evaluation
* Real systems
* Simulations
* Reliability of large systems
Paper Submission and Publication
------------------------------
Authors are invited to submit unpublished and original work to the IEEE Transactions on Cloud Computing (TCC), Special Issue on Many-Task Computing in the Cloud. If the paper is extended from an initial work, the submission must contain at least 50% new material that can be qualified as “brand” new ideas and results. The paper must be in the IEEE TCC format, namely 14 double-column pages or 30 single-column pages (Note: All regular paper page limits include references and author biographies). Please note that the double-column format will translate more readily into the final publication format. A double-column page is defined as a 7.875”×10.75” page with 10-point type, 12-point vertical spacing, and 0.5 inch margins. A single-column page is defined as an 8.5”×11” page with 12-point type and 24-point vertical spacing, containing approximately 250 words. All of the margins should be one inch (top, bottom, right and left). These length limits are taking into account reasonably-sized figures and references. Papers must be submitted using the submission system:https://mc.manuscriptcentral.c
Important Dates
------------------------------
* Abstract Due: February 2nd, 2015
* Papers Due: February 9th, 2015
* First round decisions: May 18th, 2015
* Major Revisions if needed: July 18th, 2015
* Final decisions: August 18th, 2015
* Publication Date: Fall 2015 (may vary depending on production queue)
Guest Editors
------------------------------
* Ioan Raicu, Illinois Institute of Technology & Argonne National Laboratory
* Justin Wozniak, University of Chicago & Argonne National Laboratory
* Ian Foster, University of Chicago & Argonne National Laboratory
* Yong Zhao, University of Electronic Science and Technology of China
--
==============================
Ioan Raicu, Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
==============================
Data-Intensive Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
==============================
Editor: IEEE TCC, Springer Cluster, Springer JoCCASA
Chair: IEEE/ACM MTAGS, ACM ScienceCloud
==============================
Cel: 1-847-722-0876
Office: 1-312-567-5704
Email: iraicu@cs.iit.edu
Web: http://www.cs.iit.edu/~
Web: http://datasys.cs.iit.edu/
LinkedIn: http://www.linkedin.com/in/ioa
Google: http://scholar.google.com/cita
------------------------------
IEEE Transaction on Cloud Computing
Special Issue on Many-Task Computing in the Cloud
http://datasys.cs.iit.edu/even
==============================
The Special Issue on Many-Task Computing (MTC) in the Cloud will provide the scientific community a dedicated forum, within the prestigious IEEE Transactions on Cloud Computing journal, for presenting new research, development, and deployment efforts of loosely coupled large scale applications on Cloud Computing infrastructure. MTC, the theme of this special issue, encompasses loosely coupled applications, which are generally composed of many tasks to achieve some larger application goal. This special issue will cover challenges that can hamper efficiency and utilization in running applications on large-scale systems, such as local resource manager scalability and granularity, efficient utilization of raw hardware, parallel file-system contention and scalability, data management, I/O management, reliability at scale, and application scalability. We welcome paper submissions in theoretical, simulations, and systems topics with special consideration to papers addressing the intersection of petascale/exascale challenges with large-scale cloud computing. We seek submission of papers that present new, original and innovative ideas for the "first" time in TCC (Transactions on Cloud Computing). That means, submission of "extended versions" of already published works (e.g., conference/workshop papers) is not encouraged unless they contain significant number of "new and original" ideas/contributions along with more than 49% brand "new" material.
For more information on past workshops and special issues on Many-Task Computing, see http://datasys.cs.iit.edu/even
For more information on this special issue, please see http://datasys.cs.iit.edu/even
Topics
------------------------------
We seek submission of papers that present new, original and innovative ideas for the "first" time in TCC (Transactions on Cloud Computing). That means, submission of "extended versions" of already published works (e.g., conference/workshop papers) will only be encouraged if they contain significant number of "new and original" ideas/contributions along with more than 49% brand "new" material. TCC expects submissions to be complete in all respects including author names, affiliation, bios etc. Manuscript should be 14 double column pages (all regular paper page limits include references and author biographies). We aim to cover topics related to Many-Task Computing and Cloud Computing. Topics of interest include:
* Compute Resource Management
* Scheduling
* Job execution frameworks
* Local resource manager extensions
* Performance evaluation of resource managers in use on large scale systems
* Dynamic resource provisioning
* Techniques to manage many-core resources and/or GPUs
* Challenges and opportunities in running many-task workloads on Cloud Computing infrastructure
* Storage architectures and implementations
* Distributed file systems
* Parallel file systems
* Distributed meta-data management
* Content distribution systems for large data
* Data caching frameworks and techniques
* Data management within and across data centers
* Data-aware scheduling
* Data-intensive computing applications
* Eventual-consistency storage usage and management
* Programming models and tools
* Map-reduce and its generalizations
* Many-task computing middleware and applications
* Parallel programming frameworks
* Ensemble MPI techniques and frameworks
* Service-oriented science applications
* Large-Scale Workflow Systems
* Workflow system performance and scalability analysis
* Scalability of workflow systems
* Workflow infrastructure and e-Science middleware
* Programming Paradigms and Models
* Large-Scale Many-Task Applications
* High-throughput computing (HTC) applications
* Data-intensive applications
* Quasi-supercomputing applications, deployments, and experiences
* Performance Evaluation
* Performance evaluation
* Real systems
* Simulations
* Reliability of large systems
Paper Submission and Publication
------------------------------
Authors are invited to submit unpublished and original work to the IEEE Transactions on Cloud Computing (TCC), Special Issue on Many-Task Computing in the Cloud. If the paper is extended from an initial work, the submission must contain at least 50% new material that can be qualified as “brand” new ideas and results. The paper must be in the IEEE TCC format, namely 14 double-column pages or 30 single-column pages (Note: All regular paper page limits include references and author biographies). Please note that the double-column format will translate more readily into the final publication format. A double-column page is defined as a 7.875”×10.75” page with 10-point type, 12-point vertical spacing, and 0.5 inch margins. A single-column page is defined as an 8.5”×11” page with 12-point type and 24-point vertical spacing, containing approximately 250 words. All of the margins should be one inch (top, bottom, right and left). These length limits are taking into account reasonably-sized figures and references. Papers must be submitted using the submission system:https://mc.manuscriptcentral.c
Important Dates
------------------------------
* Abstract Due: February 2nd, 2015
* Papers Due: February 9th, 2015
* First round decisions: May 18th, 2015
* Major Revisions if needed: July 18th, 2015
* Final decisions: August 18th, 2015
* Publication Date: Fall 2015 (may vary depending on production queue)
Guest Editors
------------------------------
* Ioan Raicu, Illinois Institute of Technology & Argonne National Laboratory
* Justin Wozniak, University of Chicago & Argonne National Laboratory
* Ian Foster, University of Chicago & Argonne National Laboratory
* Yong Zhao, University of Electronic Science and Technology of China
--
==============================
Ioan Raicu, Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
==============================
Data-Intensive Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
==============================
Editor: IEEE TCC, Springer Cluster, Springer JoCCASA
Chair: IEEE/ACM MTAGS, ACM ScienceCloud
==============================
Cel: 1-847-722-0876
Office: 1-312-567-5704
Email: iraicu@cs.iit.edu
Web: http://www.cs.iit.edu/~
Web: http://datasys.cs.iit.edu/
LinkedIn: http://www.linkedin.com/in/ioa
Google: http://scholar.google.com/cita
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