Call for Papers


IEEE Transactions on Cloud Computing

Special Issue on Cloud Networking

Cloud computing is entering our lives and changing the way people consume information dramatically. Clouds transform IT infrastructures with an emphasis on making them flexible, affordable, and capable of serving millions of users, satisfying their computing or storage demands. The design of early cloud computing systems has evolved from, and was dominated by, the concepts of cluster and grid computing. Currently, as the concepts of the cloud become advanced and mature, cloud networking and communication processes begin playing a central role. Cloud Networking has emerged as a promising direction for cost-efficient and reliable service delivery across data communication networks. The dynamic location of service facilities and the virtualization of hardware and software elements are stressing the communication network and protocols, especially when datacenters are interconnected through the Internet.

Scope of Special Issue

  • Data Center Network Management, Reliability, Optimization
  • Distributed Data Center Architectures and Services, IaaS, PaaS, SaaS
  • Energy-Efficient Data Centers and Networks
  • Big Data Management
  • Internet Routing of Cloud Data
  • Virtual Ethernet Switching, Data Center Bridging
  • Cloud Traffic Characterization and Measurements
  • Intra-Cloud vs. Inter-Cloud Management
  • Cloud Traffic Engineering and Control-Plane Architectures
  • Green Data Centers and Cloud Networking
  • Security, Privacy, and Confidentiality in Cloud Networking
  • Virtualization of Network Equipment
  • Unified User and Machine Mobility Management
  • Data Flow Management and Load Balancing
  • Mobile Cloud Networking
  • Network Programmability, Software-Defined Networks
  • Cloud Federation and Hybrid Cloud Infrastructure
  • Storage Area Networks, Optical Interconnect, Fiber Channels
  • Content and Service Distribution






Important Dates

  • Full Paper Regular Submission Due: 15 November 2014 (Extended)
  • Extended versions of CLOUDNET Best Papers due: 15 December 2014
  • Notification of Results: 15 March 2015
  • Revisions Due: 15 April 2015
  • Notifications of Final Acceptance: 15 May 2015
  • Submissions of Final Revised Papers: 15 June 2015

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IEEE Transactions on Cloud Computing
Special Issue on Big Data Computing on Clouds

Big data is an emerging paradigm applied to datasets whose size or complexity is beyond the ability of commonly used computer software and hardware tools. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce. As estimated by IDC, by 2020, about 40% data globally would be touched with Cloud Computing. Besides, Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing. Therefore, there is a strong demand to investigate various challenges about how to support Big Data processing by facilitating Cloud Computing potential. This special issue will focus on this challenging topic.


Original and unpublished high-quality research results are solicited to explore various challenging topics which include, but are not limited to:

  • Cloud Architecture for Big Data
  • Resource scheduling and SLA for Big Data on Cloud
  • Storage and computation management in Cloud for Big Data
  • Large-scale data intensive workflow in support of Big Data processing on Cloud
  • Multiple source data processing and integration on Cloud
  • Virtualisation and visualisation of Big Data on Cloud
  • Fault tolerance and reliability for Big Data processing on Cloud
  • MapReduce with Cloud for Big Data processing
  • Distributed file storage system with Cloud for Big Data
  • Inter-cloud technology for Big Data
  • Security, privacy and trust in Big Data processing on Cloud
  • Green, energy-efficient models and sustainability issues in Cloud for Big Data processing
  • Cloud infrastructure for social networking with Big Data
  • User friendly Cloud access for Big Data processing
  • Innovative Cloud data centre networking for Big Data
  • Wireless and mobility support in Cloud data centre for Big Data






Important Dates

  • Submission due date: 15 November 2014
  • Notification of acceptance: 15 March 2015
  • Submission of final manuscript: 15 May 2015
  • Publication date: 2nd Quarter, 2015 (Tentative)

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IEEE Transactions on Cloud Computing
Special Issue on Green and Energy-Efficient Cloud Computing

Cloud Computing has had a huge commercial impact and has attracted the interest of the research community. Public clouds allow their customers to outsource the management of physical resources, and rent a variable amount of resources in accordance to their specific needs. Private clouds allow companies to manage on-premises resources, exploiting the capabilities offered by the cloud technologies, such as using virtualization to improve resource utilization and cloud software for resource management automation. Hybrid clouds, where private infrastructures are integrated and complemented by external resources, are becoming a common scenario as well, for example to manage load peaks.


Topics of interest include but are not limited to:

  • Physical efficiency of data centers and cloud infrastructures
  • Energy- and cost-efficient cloud architectures
  • Computational efficiency of data centers and cloud infrastructures
  • Workload characterization and optimization
  • Use of virtualization to improve the utilization of cloud resources
  • Dynamic workload consolidation
  • Efficient balancing of applications and virtual machines
  • Energy-efficient resource scheduling and optimization
  • Energy-efficient computation
  • Energy-aware data storage
  • Energy-aware resource control and monitoring
  • Use of DCIM tools to automate data center management
  • Energy-aware use of DCIM tools
  • Adoption of green energy to empower data centers and -loud infrastructures
  • Energy and cost-efficient network virtualization
  • Energy and cost-efficient usage of Software Defined Networks
  • Efficient management of geographically distributed data centers
  • Energy and cost-efficient reliability and resiliency in cloud computing and data centers
  • Energy-aware data scheduling, monitoring, auditing in cloud computing and data centers






Important Dates

  • Paper submission: 30 November 2014
  • First Round Decisions: 31 January 2015
  • Major Revisions Due (if needed): 15 March 2015
  • Final Decisions: 1 May 2015
  • Special Issue Date: As determined by the production queue.

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IEEE Transactions on Cloud Computing
Special Issue on Cloud Service for Health Care

Health care service, in order to improve the quality and reduce the cost of medical services, has welcomed the modern information and computing technology involved. In the past two decades, the modern medical equipment, as advanced the medical information acquisition and the produced big data can be analyzed to aid the decision makings. The medical professionals have appreciated the extensive employments of data storage, data management and communication which enhance the medical services. With the development of big data, supercomputing, virtualization, cloud computing are recently more available, moderate, and secure. For example, if wireless sensor networks are related, the information becomes available in the "cloud" from where it can be produced by a doctor and analyzed by an expert or even a computer. Nevertheless, the traditional cloud computing techniques cannot meet our daily increasing requirements and we can do more for the future and tailor the cloud computing for health care service. The cloud computing for health care is to enhance the acquisition and computing of big health data which will be the topic of this special issue.


Topics to the special issue include:

  • Advanced Cloud Computing Solutions for Healthcare
  • Agent-based approaches to Cloud Services for health care
  • Self-Organizing Agents for Service Composition and Orchestration in Healthcare
  • Self-service cloud and self-optimization in Medical case
  • Cloud resource allocation approaches
  • Privacy Preserving in Cloud Computing for Medical Data
  • Trust in Cloud computing for Health Care
  • Health care/Medical related Workflow Design and Optimization
  • Emerging Areas of Medical Applications in the frontier of web and cloudcomputing






Important Dates

  • Submission deadline: 1 December 2014
  • First round review results: 15 March 2015
  • Submission of revised papers: 15 April 2015
  • Second round review results: 30 May 2015
  • Selection of papers for publication: 1 July 2016

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IEEE Transactions on Cloud Computing
Special Issue on Many-Task Computing in the Cloud

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 this special issue, please see

Topics of Interest

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. We aim to cover topics related to Many-Task Computing on Clouds.

Compute resource management
Storage architectures and implementations
Programming models and tools
Large-scale workflow systems
Large-scale many-task applications
Performance evaluation




Important Dates

  • Papers Due: 9 February 2015
  • First round decisions: 18 May 2015
  • Major Revisions if needed: 18 July 2015
  • Final decisions: 18 August 2015
  • Publication Date: Fall 2015 (may vary depending on production queue)

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IEEE Transactions on Cloud Computing
Special Issue on Mobile Clouds

Mobile cloud computing represents one of the latest developments in cloud computing advancement. In particular, mobile cloud computing extends cloud computing services to the mobile domain by enabling mobile applications to access external computing and storage resources available in the cloud. Not only mobile applications are no longer limited by the computing and data storage limitations within mobile devices, nevertheless adequate offloading of computation intensive processes also has the potential to prolong the battery life.


Topics of interest include, but are not limited to:

  • Trends in Mobile cloud applications and Services
  • Architectures for mobile cloud applications and services
  • Mobile cloud computing for rich media applications
  • Service discovery and interest matching in mobile cloud
  • Collaboration in mobile clouds
  • Process offloading for mobile cloud computing
  • Fault tolerance and reliability for Big Data processing on Cloud
  • Mobile device virtualization
  • Mobile networks for cloud computing
  • Mobile cloud monitoring and management
  • Security and privacy in mobile clouds
  • Performance evaluation of mobile cloud computing and networks
  • Scalability of mobile cloud networks
  • Self-organising mobile clouds
  • Mobile vehicular clouds
  • Disaster recovery in mobile clouds
  • Economic, social and environmental impact of mobile clouds
  • Mobile cloud software architecture









Important Dates

  • Paper submission: 30 July 2015
  • First Round Decisions: 15 August 2015
  • Major Revisions Due: 15 September 2015
  • Final Decisions: 15 November 2015
  • Publication: 2016

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IEEE Transactions on Big Data

The IEEE Transactions on Big Data (TBD), publishes peer reviewed articles with big data as the main focus. The articles will provide cross disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applicatio

Research areas for big data include, but are not restricted to, big data analytics, big data visualization, big data curation and management, big data semantics, big data infrastructure, big data standards, big data performance analyses, intelligence from big data, scientific discovery from big data security, privacy, and legal issues specific to big data. Applications of big data in the fields of endeavor where massive data is generated are of particular interest.


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