5th International Conference on Scalable Information Systems
As data and knowledge volume keep increasing while global means for information dissemination continue to diversify, new methods, modeling paradigms and structures are needed to efficiently mount scalability requirements.
In the last few years, we have seen the proliferation of the use of heterogeneous distributed systems, ranging from simple Networks of Workstations, to highly complex grid computing environments. Such computational paradigms have been preferred due to their reduced costs and inherent scalability, which pose many challenges to scalable systems and applications in terms of information access, storage and retrieval.
Grid computing, P2P technology, data and knowledge bases, distributed information retrieval technology and networking technology should all converge to address the scalability concern. Furthermore, with the advent of emerging computing architectures - e.g. SMTs, GPUs, Multicores. - the importance of designing techniques explicitly targeting these systems is becoming more and more important.
The 5th International Conference on Scalable Information Systems will focus on a wide array of scalability issues and investigate new approaches to tackle problems arising from the ever-growing size and complexity of information of all kinds.
- Scalable Processor for Big Data
- Scalable Memory Systems for Big Data
- Scalable Parallel and Distributed Information Retrieval
- Scalable Storage for Big Data
- Scalable Web and Mobile Systems
- Scalable Network Architectures for Big Data
- Integrated Systems for Big Data (Blades, Racks, and Data Centers)
- Custom Accelerators for the Big Data Domain
Big Data Systems and Workloads in the Wild
Software Support for Big Data Processing: Programming Languages, Operating Systems, Runtime Environments
- Energy Efficiency in Big Data Systems through Vertical Integration, Specialization, and Approximation
- Emerging Compute, Storage, and Communication Technologies for Big Data Applications
- Architectural Support for Security in the Context of Big Data
Scalability Issues on Emerging Computing Architectures (SMTs, GPUs, Multicores)
Information Security for Big Data
- Scalable Sensor Networks and Systems
- Scalable Systems and Conceptual Modelling
- Scalable Multimedia Information Systems
- Scalable Data Mining
- Special Session proposals: Feb 20, 2014
- Submission of papers: March 25, 2014
- Notification of acceptance: May 25, 2014
- Final papers to be received: June 10, 2014
- Conference: September 24-26, 2014
The conference proceedings of INFOSCALE 2014 will be published in Lecture Notes in Artificial Intelligence series by Springer-Verlag and indexed by ISI(CPCI-S), Web of Science, EI, Scopus, DBLP, ACM Digital Library. All submissions should follow the LNCS/LNAI style and not exceed 10 pages.
To ensure high quality, all papers will be thoroughly reviewed by the INFOSCALE 2014 International Program Committee. Referees will be asked to nominate papers for a Best Paper award to be announced at the conference.
All accepted papers must be presented by one of the authors who must register for the conference and pay the fee.
All presented papers, but particularly those nominated for the Best Paper competition will be automatically considered for publication in the extended versions in several special issues for ISI, SCI journals.