Big Data: Management and Applications
One-page White Paper Due: 1 June 2014
Full Paper Submissions Due: 1 September 2014
Acceptance Notification: 15 November 2014
Final Papers Due: 15 December 2014
Special Issue Publication: March 2015
Computer seeks submissions for a March 2015 special issue on big data management and applications.
With the synergistic confluence of multicore and multiprocessor computers, pervasive sensing and wireless sensor networks, cloud and mobile computing, along with groundbreaking advances in storage devices, we are generating unprecedented levels of data. It is estimated that 90 percent of the world's data has been generated in the past two years. Data too big and complex to capture, store, process, analyze, and interpret — even using state-of-the-art tools and methods — is referred to as big data.
The guest editors solicit papers covering all areas of big data management and applications, including big data infrastructure, frameworks, and tools; distributed big data interoperability and standards; big data management practices and analytics; big data privacy and security; and big data applications. Contributions that provide an interdisciplinary view of big data, and work that involves real deployments and novel applications are of particular interest.
Suggested topics include, but are not limited to, the following:
- big data infrastructure, frameworks, and tools, such as high-performance computing architectures, distributed file systems, new programming paradigms and application frameworks, parallel class libraries, and green computing for big data;
- distributed big data interoperability and standards, such as distributed file systems, semantic interoperability, semantic classifiers, shared vocabularies, ontologies, and data integration;
- big data management practices and analytics, such as data models, query languages, stream data management, NoSQL systems, and indexing and query processing;
- big data privacy and security, such as secure computations in distributed programming frameworks, security best practices for NoSQL systems, real-time security monitoring, granular access control, cryptographically enforced data-centric security, granular audits, and data provenance; and
- big data applications, such as predictive manufacturing, physical infrastructure monitoring, sensor networks and smart building operation, customer-targeted marketing, analysis and optimization of business processes, law enforcement and security, research and learning, crowdsourcing, social network analysis, healthcare and public health management, image search, natural language understanding, and visualization.
Only technical articles describing previously unpublished, original, state-of-the-art research, and not currently under review by a conference or a journal will be considered. Articles should be understandable to a broad audience of computer science and engineering professionals, avoiding a focus on theory, mathematics, jargon, and abstract concepts. All manuscripts are subject to peer review on both technical merit and relevance to Computer's readership. Accepted papers will be professionally edited for content and style.
The guest editors for this special issue are
- Venkat Gudivada (firstname.lastname@example.org), Marshall University;
- Vijay Raghavan (email@example.com), University of Louisiana; and
- Ricardo Baeza-Yates (firstname.lastname@example.org), Yahoo! Labs.
Interested authors should send a one-page white paper to the guest editors by 1 June 2014 via email.
Full paper submissions are due by 1 September 2014. For author guidelines and information on how to submit a manuscript electronically, visit http://www.computer.org/web/peerreviewmagazines/computer.