-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] New HICSS minitrack CFP: Big Data Engineering Datum: Mon, 27 Apr 2015 12:39:08 -1000 Von: Hong-Mei Chen hmchen@hawaii.edu An: aisworld@lists.aisnet.org
CFP
1st Big Data Engineering (BDE) minitrack at HICSS-49 in Hawaii, USA January 5-8, 2016
*HICSS Conference: Hawaii International Conference on System Sciences *Track: Software Technology * Minitrack: Big Data Engineering
The CFP can also be found at http://www.hicss.org/#!big-data-engineering/c40w deadline for submission: June 15th, 2015
The Big Data Engineering minitrack will cover advances in the broad range of activities that are required to cost-effectively plan, design, build, evolve and manage big data systems. The sheer scale and pace of change mandates the computer science and software engineering communities develop new methods and tools for engineering big data systems that derive on-going business value. Big Data Engineering (BDE) provides a focus for the synergies that must be developed across technical disciplines to reliably deliver production-level applications that handle unprecedented amounts of data, new varieties of data types and real time velocity.
To this end, this minitrack will solicit papers in the following areas:
- New system architectures and methods for big data sourcing/harnessing, ingestion, storage, processing, exploration, analysis and visualization. - Methods for integration, interoperability and metadata modeling for big data access. - Hybrid architectures/models for big data systems coexisting with traditional data warehouses - Software engineering methods and decision support tools for massively scalable systems development - Advanced technologies: MPP, NoSQL databases, real time stream processing, in-memory processing frameworks, scalable analytics, big data cloud technologies and platforms, - Engineering methods for generating and facilitating innovation and/or new business models from big data collections and analytics. - New programming models and languages for big data - Engineering approaches for big data governance, compliance, privacy and security - Novel big data engineering approaches in specific application domains. - Other relevant topics related to big data engineering such as education/curriculum issues for producing big data engineers.
*Submission:* *http://www.hicss.org/#!authors/ccjp* http://www.hicss.org/#!authors/ccjp
*Deadline: June 15, 2015*
*Minitrack Co-Chairs:*
*Hong-Mei Chen *(Primary Contact)
Dept of Information Technology Management
University of Hawaii at Manoa
Email: hmchen@hawaii.edu
*Ian Gorton*
Carnegie Mellon University Software Engineering Institute
Email: igorton@sei.cmu.edu _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org