About
IEEE Transactions on Big Data
The
IEEE Transactions on Big Data 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 applications.
Scope of Interest
Submissions are welcomed on any topic in computer architecture, especially but not limited to: microprocessor and multiprocessor systems, microarchitecture and ILP processors, workload characterization, performance evaluation and simulation techniques, compiler-hardware and operating system-hardware interactions, interconnect architectures, memory and cache systems, power and thermal issues at the architecture level, I/O architectures and techniques, independent validation of previously published results, analysis of unsuccessful techniques, domain-specific processor architectures (e.g., embedded, graphics, network, etc.), real-time and high-availability architectures, reconfigurable systems.
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
- legal issues specific to big data
Applications of big data in the fields of endeavor where massive data is generated are of particular interest.
Submission Instructions:
This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission.
Read about OA submissions here.
TBD manuscript types and submission length guidelines are described below. All page limits include references and author biographies. For regular papers, pages in excess of these limits after final layout of the accepted manuscript is complete are subject to
Mandatory Overlength Page Charges (MOPC). Note: All supplemental material must be submitted as separate files and must not be included within the same PDF file as the main paper submission. There is no page limit on supplemental files.
- Regular paper – 12 double column pages (Submissions may be up to 18 pages in length, subject to MOPC. All regular paper page limits include references and author biographies.)
- Short paper – 8 double column pages
- Comments paper – 2 double column pages
- Survey papers – 20 double column pages
A double column page is defined as a 7.875″ x 10.75″ page with 9.5-point type and 11.5-point vertical spacing. These length limits are taking into account reasonably-sized figures and references.
Please use the
IEEE Template Selector to find the correct template.
In addition to submitting your paper to
IEEE Transactions on Big Data, you are also encouraged to upload the data related to your paper to
IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!
For author information and guidelines on submission criteria, please visit IEEE Transactions on Big Data Information page.
Questions?
Contact:
Editorial board,
steering committee, and
staff
TBD editorials and guest editorials
