Scope

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 6th 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.



Highlights

•Selected papers may be invited to publish in the EAI Transaction on Scalable Information Systems.

•All accepted papers will be published by Springer and made available through SpringerLink Digital Library, one of the world's largest scientific libraries.

•Proceedings will be submitted for indexing by Google Scholar, ISI, EICompendex, Scopus and many more.



Conference topics

Topics of interest include, but are not limited to:

● 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



Important dates

Paper submission due 15 May 2015
Acceptance Notification 15 June 2015
Camera‐ready deadline 1 July 2015



Paper Submission

Papers should be in English. Regular papers should be up to 10 pages in length. Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review. The paper submissions must follow the SPRINGER formatting guidelines (see Author's kit section). Submission of the paper implies agreement of the author(s) to attend the conference and present the paper if accepted.



Publication

The conference proceedings of INFOSCALE 2015 will be published in LNICST series by Springer-Verlag and indexed by ISI(CPCI-S), Web of Science, EI, Scopus, DBLP. All submissions should follow the LNICST style and not exceed 10 pages. To ensure high quality, all papers will be thoroughly reviewed by the INFOSCALE 2015 International Program Committee.

All accepted papers must be presented by one of the authors who must register for the conference and pay the fee.

Selected papers may be invited to publish in the EAI Transaction on Scalable Information Systems.



About EAI - The European Alliance for Innovation is a dynamic eco-system for fostering ICT enabled innovation to improve European competitiveness and to benefit society. Find out more at http://www.eai.eu.