International Journal of Cloud Computing  (IJCC) 


ISSN (Online): 2043-9997  -  ISSN (Print): 2043-9989 


http://www.inderscience.com/browse/index.php?journalCODE=ijcc 


Published in 4 issues per year   




Cloud computing refers to computing with a pool of virtualized computer resources and is driven by economics of scale. A cloud can host a variety of different workloads, and allow workloads to be deployed and scaled-out quickly on-demand by rapid provisioning of virtual machines or physical machines. A cloud supports redundant, self-recovering, highly scalable programming models and allows workloads to recover from many unavoidable hardware/software failures. A cloud also monitors resource use in real time to enable rebalancing of allocations when needed. The idea is to move desktop computing to a service-oriented platform using server clusters and huge databases at datacenters. Cloud computing leverages its low cost and simplicity that benefits both users and the providers through providing cost-effective services and pay-per-use pricing model. In cloud computing, everything including software, platform, and infrastructure is as a service. 

Cloud computing makes data truly mobile and a user can simply access a chosen cloud with any internet-accessible device. Cloud computing overlaps some of the concepts of cluster, distributed, grid, service, ubiquitous, utility and virtual computing; however it has emerged from these computing domains and now has its own meaning. In cloud computing, a user does not care much what is in the cloud or what goes on there apart from being able to receive service from it. Cloud computing is now associated with a higher level abstraction of the cloud. Instead of there being application software, routers and servers, there are now services. The underlying hardware and software of networking is of course still there but there are now higher level service capabilities available to build applications. Hidden behind the services are data and computer resources. 

There have been many cloud computing platforms built so far including Google Cloud, IBM BlueCloud and Amazon Elastic Cloud. Programming models for cloud computing have been developed including MapReduce by Google and Hadoop by Yahoo group. Using these cloud computing models and toolsets, IT-related capabilities are provided as services, accessible without requiring detailed knowledge of the underlying technology. Of course, many mature technologies are used as components in cloud computing, but there are still many unresolved and open problems due to its unique characteristics which are different from distributed computing, cluster computing, grid computing, utility computing and service computing. 

IJCC addresses the most innovative developments, research issues and solutions in cloud computing and its related technologies. 

Cloud computing refers to computing with a pool of virtualized computer resources and is driven by economics of scale. A cloud can host a variety of different workloads, and allow workloads to be deployed and scaled-out quickly on-demand by rapid provisioning of virtual machines or physical machines. A cloud supports redundant, self-recovering, highly scalable programming models and allows workloads to recover from many unavoidable hardware/software failures. A cloud also monitors resource use in real time to enable rebalancing of allocations when needed. The idea is to move desktop computing to a service-oriented platform using server clusters and huge databases at datacenters. Cloud computing leverages its low cost and simplicity that benefits both users and the providers through providing cost-effective services and pay-per-use pricing model. In cloud computing, everything including software, platform, and infrastructure is as a service. 

Cloud computing makes data truly mobile and a user can simply access a chosen cloud with any internet-accessible device. Cloud computing overlaps some of the concepts of cluster, distributed, grid, service, ubiquitous, utility and virtual computing; however it has emerged from these computing domains and now has its own meaning. In cloud computing, a user does not care much what is in the cloud or what goes on there apart from being able to receive service from it. Cloud computing is now associated with a higher level abstraction of the cloud. Instead of there being application software, routers and servers, there are now services. The underlying hardware and software of networking is of course still there but there are now higher level service capabilities available to build applications. Hidden behind the services are data and computer resources. 

There have been many cloud computing platforms built so far including Google Cloud, IBM BlueCloud and Amazon Elastic Cloud. Programming models for cloud computing have been developed including MapReduce by Google and Hadoop by Yahoo group. Using these cloud computing models and toolsets, IT-related capabilities are provided as services, accessible without requiring detailed knowledge of the underlying technology. Of course, many mature technologies are used as components in cloud computing, but there are still many unresolved and open problems due to its unique characteristics which are different from distributed computing, cluster computing, grid computing, utility computing and service computing. 

IJCC addresses the most innovative developments, research issues and solutions in cloud computing and its related technologies. 



  Go Top   Objectives 


The objectives of IJCC are to develop, promote and coordinate the development and practice of cloud computing. IJCC aims to help professionals working in the field, academic educators and policy-makers to contribute, to disseminate knowledge, and to learn from each other's work. The international dimension is emphasised in order to overcome cultural and national barriers and to meet the needs of accelerating technological change and changes in the global economy. IJCC is an outstanding outlet that can shape a significant body of research in the field of cloud computing and in which results can be shared across institutions, governments, researchers and students, and also industry. 

  Go Top   Readership 


IJCC provides a vehicle to help professionals, academics, researchers, graduate students, and managers, working in the field of cloud computing and its related areas such as virtual computing and grid computing, to disseminate information and to learn from each other’s work. 

  Go Top   Contents 


IJCC publishes original and review papers, technical reports, and case studies. Contribution may be by submission or invitation, and suggestions and proposals for special issues devoted to important topics in cloud computing are welcome. 

  Go Top   Subject Coverage 


Although the possible set of topics is large and we encourage submission on any area within the scope of cloud computing, the following areas are particularly suitable (but not exhaustive): 

    • Auditing, monitoring and scheduling 
    • Automatic reconfiguration 
    • Autonomic computing 
    • Cloud architecture and modelling 
    • Cloud-based services 
    • Consistency models 
    • Data grid and semantic web 
    • Fault tolerance and reliability 
    • Hardware as a service (HaaS) 
    • High-performance computing 
    • Integration of mainframe and large systems 
    • Innovations in IP (esp. open source) systems 
    • IT service and relationship management 
    • Load balancing 
    • Middleware frameworks 
    • New and innovative pedagogical approaches 
    • Novel programming models for large computing 
    • Optimal deployment configuration 
    • Peer to peer computing 
    • Power-aware profiling, modelling, and optimisation 
    • Resource registration and discovery 
    • Scalable fault resilience techniques for large computing 
    • Scalable scheduling on heterogeneous architectures 
    • Security and risk 
    • Self healing 
    • Self monitoring 
    • Service integration and management 
    • Service level agreement definitions 
    • Software as a service 
    • Trustworthiness, security and privacy 
    • Utility computing 
    • Virtualisation technologies 
    • Web services 


  Go Top   Specific Notes for Authors 


Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. 

All papers are refereed through a double blind process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Submission of Papers web-page. 

To submit a paper, please go to Submissions of Papers 

All papers must be submitted online . If you experience any problems submitting your paper online, please contact submissions@inderscience.com , describing the exact problem you experience. Please include in your email the title of the Journal. 


  Go Top   Editors and Members of the Editorial Board 




Editor in Chief Prof. Yi Pan 
Georgia State University 
Department of Computer Science 
34 Peachtree Street, Suite 1450 
Atlanta, GA 30302-4110 
USA 
pan@cs.gsu.edu 



Editorial Board Members 

Prof. Rajkumar Buyya Ra 
The University of Melbourne 
Grid Computing and Distributed Systems (GRIDS) Laboratory 
Department of Computer Science and Software Engineering 
ICT Building, 111, Barry Street, Carlton 
Melbourne VIC 3053 
AUSTRALIA 

Prof. Jiannong Cao Ji 
Hong Kong Polytechnic University 
Department of Computing 
PQ816, Mong Man Wai Building 
Hung Hom, Kowloon 
HONG KONG 

Prof. Ernesto Damiani Er 
University of Milan 
Department of Information Technology 
Via Bramante 65 
Milan 
ITALY 

Dr. Jack Dongarra Ja 
Distinguished Professor, Innovative Computing Laboratory 
University of Tennessee Knoxville 
Department of Electrical Engineering and Computer Science (EECS) 
1122 Volunteer Blvd 
Knoxville TN 37996-3450 
USA 

Prof. Geoffrey Charles Fox Ge 
Indiana University 
School of Informatics and Computing 
Bloomington, IN 47408 
USA 

Prof. Andrzej M. Goscinski An 
Professor of Computing 
Deakin University 
School of Information Technology 
Geelong, Victoria 3217 
AUSTRALIA 

Dr. Bob Grossman Bo 
University of Illinois at Chicago 
Department of Mathematics, Statistics, & Computer Science 
Mail Code 249 
851 S. Morgan Street 
Chicago, IL 60607 
USA 

Mr. Shigeru Hosono Sh 
NEC Corporation 
Service Platforms Research Laboratories 
NEC Igarashi Building 11-5, Shibaura 2-chome 
Minato-ku, Tokyo, 108-8557 
JAPAN 

Dr. Xuedong Huang Xu 
Microsoft Research 
One Microsoft Way 
Redmond WA 98052 
USA 

Prof. Kai Hwang Ka 
University of Southern California 
Department of Electrical Engineering – Systems 
3740 McClintock Ave., EEB 212 
Los Angeles CA 90089-2562 
USA 

Dr. Craig A. Lee Cr 
President, Open Grid Forum; Senior Scientist, High Performance Computing 
The Aerospace Corporation 
M1-102 
2310 East El Segundo Blvd. 
El Segundo, CA 90245 
USA 

Prof. Deyi Li De 
National Natural Science Foundation 
83 Shuang Qing Road 
Beijing, 100085 
CHINA 

Prof. Prabhat K. Mahanti Pr 
University of New Brunswick 
Department of Computer Science and Applied Statistics (CSAS) 
100 Tucker Park Road 
Saint John, N.B. E2L 4L5 
CANADA 

Dr. Judy Qiu Ju 
Indiana University 
Pervasive Technology Institute 
Bloomington, IN 47408 
USA 

Dr. Andy Rindos An 
IBM Corporation 
P O Box 12195 
Dept W4DA/Bldg 503/Office N237 
3039 Cornwallis Rd. 
Research Triangle Park NC 27709-2195 
USA 

Prof. Chunming Rong Ch 
University of Stavanger 
Center of IP-Based Services Innovation 
N-4036 Stavanger 
NORWAY 

Prof. Kwang Mong Sim Kw 
Gwangju Institute of Science & Technology 
Multiagent & Cloud Computing Laboratory 
Department of Information & Communications 
261 Cheomdan-gwario 
Buk-gu, Gwangju 500-712 
KOREA, REPUBLIC OF 

Prof. Dr. Wolf Zimmermann Wo 
Universität Halle Wittenberg 
Institut of Computer Science 
Von-Seckendorff-Platz 1 
06120 Halle (Saale) 
GERMANY 

Prof. Albert Zomaya Al 
University of Sydney 
School of Information Technologies 
Building J12 
Sydney NSW 2006