Call for Papers: IEEE Transactions on Cloud Computing Special Issue on "Big Data Computing on Clouds". Website: http://www.swinflow.org/si/tccbd.htm. 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. *Topics* Original and unpublished high-quality research results are solicited to explore various challenging topics which include, but are not limited to: · Cloud Architecture for Big Data ·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 · Big data application workflow management on Cloud · 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 · Cloud and Big Data for Smart and Sustainable Cities *Schedule* Submission due date: November 15, 2014 Notification of acceptance: March 15, 2015 Submission of final manuscript: May 15, 2015 Publication date: 2nd Quarter, 2015 (Tentative) *Submission & Major Guidelines* The special issue invites original research papers that make significant contributions to the state-of-the-art in “Big Data Computing on Clouds”. The papers must not have been previously published or submitted for journal or conference publications. However, the papers that have been previously published with reputed conferences such as *IEEE BDSE 2014 (Big Data Science and Engineering - http://www.swinflow.org/confs/bdse2014/ <http://www.swinflow.org/confs/bdse2014/>*) could be considered for publication in the special issue if they contain significant number of "new and original" ideas/contributions along with more than 49% brand "new" material. Every submitted paper will receive at least three reviews. The editorial review committee will include well known experts in the area. Submissions must be directly submitted via the IEEE TCC submission web site at https://mc.manuscriptcentral.com/tcc-cs, and must follow instructions for formatting and length listed there. For additional information, please contact Jinjun.Chen@gmail.com. *Selection and Evaluation Criteria* - Significance to the readership of the journal - Relevance to the special issue - Originality of idea, technical contribution, and significance of the presented results - Quality, clarity, and readability of the written text - Quality of references and related work - Quality of research hypothesis, assertions, and conclusion *Guest Editors* Jinjun Chen (Contact Person), Jinjun.Chen@gmail.com, University of Technology Sydney, Australia Ivan Stojmenovic, ivan@site.uottawa.ca, University of Ottawa, Canada Irena Bojanova, ibojanova@umuc.edu, University of Maryland University College, USA