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