ASE 2013 - Special Issue on Automated Techniques for Migration to the Cloud
Topics/Call fo Papers
Automated Software Engineering
(http://www.springer.com/computer/ai/journal/10515)
Special Issue on Automated Techniques for Migration to the Cloud
Theme and Scope
The ever-growing cloud computing platforms provide hybrid architectures and dynamic intelligence for tomorrow. That is, the hybrid cloud has emerged rapidly as an exciting new paradigm that includes private cloud, public cloud and community cloud to provide IT services anytime and anywhere. It has recently also raised relevant interest in both the academic and the industrial research communities as one of the most promising application fields for intelligent cloud computing and services. The interest in hybrid cloud environments are also shown by the relevant industrial and standardization efforts accomplished in the last years in this wide area. Both the academy and the industry widely recognize the crucial role of software automation to facilitate the development of efficient and intelligent cloud services, by reducing implementation/deployment costs and time to market.
This special issue aims to foster the dissemination of high quality research in methods, theories, techniques and tools relating automation in moving legacy applications to the clouds. In particular, this special issue will showcase the most recent research in the automated engineering of cloud software. Original research articles are solicited in all aspects of automated software engineering for the cloud including theoretical studies, practical applications, cloud programming languages and experimental prototypes. The papers will be peer reviewed and selected on the basis of both their quality and their relevance to the theme of this special issue.
Topics of interest include, but are not limited to:
- Automated support for hybrid cloud modeling
- Translating legacy applications to the clouds
- Automated testing of cloud computing software
- Generating cloud computing software
- Automated reasoning about cloud composition
- Program synthesis for cloud
- Translation of relational database to non-relational cloud-base (HBase)
- Virtual machine image transformation in hybrid clouds
- Runtime support for hybrid clouds
- Techniques for migrating applications from private cloud to public cloud, or vice-versa
Instructions for Manuscripts
This special issue aims to foster state-of-the-art research in the area of software automation in deploying and developing hybrid clouds. Manuscripts should be written in English and strictly follow the guideline of the International Journal of Automated Software Engineering. Prospective authors should submit full manuscripts through the Online Manuscript Submission System at http://www.editorialmanager.com/ause/.
Important Dates
Manuscript Due: Oct. 31, 2012
Notification of Acceptance/Rejection/Revision: Dec. 31, 2012
Revised manuscript due: Feb. 28, 2013
Final Manuscript Due: April 30, 2013
Guest Editors
Ching-Hsien (Robert) Hsu
Chung Hua University, Taiwan
Email: chh-AT-chu.edu.tw
John Grundy
Swinburne University of Technology, Australia,
Email: jgrundy-AT-swin.edu.au
(http://www.springer.com/computer/ai/journal/10515)
Special Issue on Automated Techniques for Migration to the Cloud
Theme and Scope
The ever-growing cloud computing platforms provide hybrid architectures and dynamic intelligence for tomorrow. That is, the hybrid cloud has emerged rapidly as an exciting new paradigm that includes private cloud, public cloud and community cloud to provide IT services anytime and anywhere. It has recently also raised relevant interest in both the academic and the industrial research communities as one of the most promising application fields for intelligent cloud computing and services. The interest in hybrid cloud environments are also shown by the relevant industrial and standardization efforts accomplished in the last years in this wide area. Both the academy and the industry widely recognize the crucial role of software automation to facilitate the development of efficient and intelligent cloud services, by reducing implementation/deployment costs and time to market.
This special issue aims to foster the dissemination of high quality research in methods, theories, techniques and tools relating automation in moving legacy applications to the clouds. In particular, this special issue will showcase the most recent research in the automated engineering of cloud software. Original research articles are solicited in all aspects of automated software engineering for the cloud including theoretical studies, practical applications, cloud programming languages and experimental prototypes. The papers will be peer reviewed and selected on the basis of both their quality and their relevance to the theme of this special issue.
Topics of interest include, but are not limited to:
- Automated support for hybrid cloud modeling
- Translating legacy applications to the clouds
- Automated testing of cloud computing software
- Generating cloud computing software
- Automated reasoning about cloud composition
- Program synthesis for cloud
- Translation of relational database to non-relational cloud-base (HBase)
- Virtual machine image transformation in hybrid clouds
- Runtime support for hybrid clouds
- Techniques for migrating applications from private cloud to public cloud, or vice-versa
Instructions for Manuscripts
This special issue aims to foster state-of-the-art research in the area of software automation in deploying and developing hybrid clouds. Manuscripts should be written in English and strictly follow the guideline of the International Journal of Automated Software Engineering. Prospective authors should submit full manuscripts through the Online Manuscript Submission System at http://www.editorialmanager.com/ause/.
Important Dates
Manuscript Due: Oct. 31, 2012
Notification of Acceptance/Rejection/Revision: Dec. 31, 2012
Revised manuscript due: Feb. 28, 2013
Final Manuscript Due: April 30, 2013
Guest Editors
Ching-Hsien (Robert) Hsu
Chung Hua University, Taiwan
Email: chh-AT-chu.edu.tw
John Grundy
Swinburne University of Technology, Australia,
Email: jgrundy-AT-swin.edu.au
Other CFPs
- Special Issue on Dynamic Intelligence for Sustainable Computing
- The 2012 International Workshop on Advanced Distance Education Technologies
- The 2012 International Workshop on Green and Pervasive Software (GreenPS 2012)
- Special Issue on: "Computational Knowledge for Social World and its Applications"
- ICML'12 Workshop on Machine Learning for Clinical Data Analysis
Last modified: 2012-04-14 13:38:50