Transactions on Cloud Computing (TCC) Scope
IEEE Transactions on Cloud Computing will publish peer-reviewed articles that provide innovative research ideas and applications results in all areas relating to cloud computing. Topics relating to novel theory, algorithms, performance analyses and applications of techniques relating to all areas of cloud computing will be considered for the transactions. The transactions will consider submissions specifically in the areas of cloud security, trade-offs between privacy and utility of cloud, cloud standards, the architecture of cloud computing, cloud development tools, cloud software, cloud backup and recovery, cloud interoperability, cloud applications management, cloud data analytics, cloud communications protocols, mobile cloud, liability issues for data loss on clouds, data integration on clouds, big data on clouds, cloud education, cloud skill sets, cloud energy consumption, cloud applications in commerce, education and industry. This title will also consider submissions on Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Business Process as a Service (BPaaS).
NOTE: 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.
News and Announcements
Introduction to the IEEE Transactions on Cloud Computing by Rajkumar Buyya
Welcome to the IEEE Transactions on Cloud Computing (TCC). It is my privilege and honor to serve as the inaugural Editor-in-Chief of TCC. I would like to thank the IEEE and the world-wide Cloud Computing community for giving me the opportunity to serve them. Let me first share some of the open opportunities and challenges in Cloud Computing and then introduce the transactions and its progress. Read more. (PDF)
Welcome Message by Jon Rokne
I am delighted to introduce the first issue of the IEEE Transactions on Cloud Computing. Cloud computing is the new paradigm for distributed and shared computing that has been embraced by researchers, practitioners, and industry. The impact of cloud implementations on how computing is performed is profound. It reduces acquisition cost, maintenance cost, and has transformed the way that IT professionals and computer users handle their work. While there are many publications that cover cloud issues from an industry point of view, the IEEE Computer Society recognizes the need for a respected transactions that publishes research in the field of cloud computing. The new journal will help to fill this void by publishing high-quality, peer-reviewed papers, covering topics such as cloud security and privacy, cloud standards and protocols, cloud development tools, cloud software, cloud backup and recovery, cloud interoperability, cloud applications management, cloud data analytics, mobile cloud, private clouds, liability issues for data loss on clouds, cloud education and skill sets, and cloud applications in commerce, education, and industry. Read more. (PDF)
Rajkumar Buyya, director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, has been named editor in chief of IEEE Transactions on Cloud Computing, IEEE Computer Society's newest peer-reviewed journal.
Buyya, a professor of computer science and software engineering at University of Melbourne, is also founding CEO of a university spinoff called Manjrasoft Pty Ltd., which has developed innovative software technologies for cloud computing utilized by high-profile organizations such as China Southern Railways and Indian Space Research Organization (ISRO).
Well known in the cloud computing community, Buyya was 2009 recipient of the IEEE Medal for Excellence in Scalable Computing in recognition of his significant contribution to the scalable computing community. In particular, he was recognized for pioneering the economic paradigm for utility-oriented distributed computing platforms such as grids and clouds, and serving as chair of the Technical Committee on Scalable Computing. Among his many other awards are the IEEE Computer Society's Richard Merwin Award in 1999 and a Distinguished Service Award in 2009. Read more...
Call for Papers
Special Issue on Cloud Security
Cloud computing is an innovative Internet-based computing paradigm that enables cloud users to move out their data and applications to a remote Cloud to deploy scalable and elastic service on demand without having to provision a data center. This computing paradigm removes the need for service providers to plan ahead for provisioning and allows companies to start small and then increase computing or storage resources only when there is a need, thereby offering costeffective services. However, as the users' data and applications are outsourced to centralized massive data centers, IT security specialists warn that Cloud is becoming particularly attractive to cyber crooks. As a matter of fact, according to IT Cloud Services User Survey and CSA Security Guidance, security has been cited as the top concern by cloud users. If such concern is not carefully addressed, it will significantly hinder cloud systems from being pervasively adopted. Cloud security issues include data privacy, data integrity, and service availability, among others.
However, are these security issues new, or unique, to cloud computing? Also, should the task of addressing these security issues be solely on the shoulders of the cloud providers, or indeed both the cloud providers and the cloud users are responsible for the task? On the other hand, due to the needed extra computing, security controls often incur a certain amount of performance degradation in cloud computing where performance is crucial and its computation and communication complexities are already high. This poses challenges to the system developers with regards to preventing privacy leaks, performing data auditing, and guaranteeing high availability in the face of different security attacks. In addition, there must be fundamental security problems that are specific to cloud computing. For example, to offer cloud users an efficient programming environment, when developing service models, such as Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), or Software-as-a-Service (SaaS), cloud providers may encounter some security issues that have never been encountered in the development of a conventional data center. If there are such fundamental security problems, researchers and engineers are encouraged to identify them and offer their solutions. There have been a few studies investigating the fundamental properties of the cloud security issues, including data auditing, searchable data encryption, hypervisor protection, cloud forensics, disaster recovery, just to name a few. Cloud security is driving how we define and develop cloud computing solutions. The goal of this special issue is thus to provide a forum for researchers working on cloud security to present their recent research results.
Submission deadline: December 15, 2013. View PDF.
Special Issue on Autonomic Provisioning of Big Data Applications on Clouds
This special issue solicits papers that advance the fundamental understanding, technologies, and concepts related to autonomic provisioning of cloud resources for Big Data applications. The research advancement is in this area is important because such large, heterogeneous, and uncertain Big Data applications are becoming increasingly common, yet current cloud resource provisioning methods do not scale well and nor do they perform well under highly unpredictable conditions (data volume, data variety, data arrival rate, etc.). If these problems are resolved, then cloud-hosted Big Data applications will operate more efficiently, with reduced financial and environmental costs, reduced under-utilisation of resources, and better performance at times of unpredictable workload.
Submission deadline: March 1, 2014. View PDF.
Special Issue on Scientific Cloud Computing
Computational and Data-Driven Sciences have become the third and fourth pillar of scientific discovery in addition to experimental and theoretical sciences. Scientific Computing has already begun to change how science is done, enabling scientific breakthroughs through new kinds of experiments that would have been impossible only a decade ago. It is the key to solving "grand challenges" in many domains and providing breakthroughs in new knowledge, and it comes in many shapes and forms: high-performance computing (HPC) which is heavily focused on compute-intensive applications; high-throughput computing(HTC) which focuses on using many computing resources over long periods of time to accomplish its computational tasks; many-task computing (MTC) which aims to bridge the gap between HPC and HTC by focusing on using many resources over short periods of time; and data-intensive computing which is heavily focused on data distribution, data-parallel execution, and harnessing data locality by scheduling of computations close to the data. Today's "Big Data" trend is generating datasets that are increasing exponentially in both complexity and volume, making their analysis, archival, and sharing one of the grand challenges of the 21st century. Not surprisingly, it becomes increasingly difficult to design and operate large scale systems capable of addressing these grand challenges.
This journal Special Issue on Scientific Cloud Computing in the IEEE Transaction on Cloud Computing will provide the scientific community a dedicated forum for discussing new research, development, and deployment efforts in running these kinds of scientific computing workloads on Cloud Computing infrastructures. This special is sue will focus on the use of cloud-based technologies to meet new compute-intensive and data-intensive scientific challenges that are not well served by the current supercomputers, grids and HPC clusters. The special issue will aim to address questions such as: What architectural changes to the current cloud frameworks (hardware, operating systems, networking and/or programming models) are needed to support science? Dynamic information derived from remote instruments and coupled simulation, and sensor ensembles that stream data for real-time analysis are important emerging techniques in scientific and cyber-physical engineering systems. How can cloud techn ologies enable and adapt to these new scientific approaches dealing with dynamism? How are scientists using clouds? Are there scientific HPC/HTC/MTC workloads that are suitable candidates to take advantage of emerging cloud computing resources with high efficiency? Commercial public clouds provide easy access to cloud infrastructure for scientists. What are the gaps in commercial cloud offerings and how can they be adapted for running existing and novel eScience applications? What benefits exist by adopting the cloud model, over clusters, grids, or supercomputers? What factors are limiting clouds use or would make them more usable/efficient?
Submission deadline: July 31, 2014. View PDF.
General Call for Papers
General call for papers. View PDF.
IEEE Computer Society
IEEE Communications Society
IEEE Systems Council
IEEE Power & Energy Society
IEEE Consumer Electronics Society
TCC is financially cosponsored by:
TCC is technically cosponsored by: