Special issue on software architectures and systems for Big data
h 0 In today’s world there is no scarcity of data. Data is being generated t every moment such as data for patient’s medical condition, for urveillance and security, data in social media and data for user’s obile and web activities. With such abundance of data, the data size or an application can easily grow in the range of terabytes, if not etabytes. Processing such large data set is not possible in traditional echnologies – where data is stored in relational database or flat files nd is processed centrally by various data mining and database tools. o process such large dataset we need specialized technologies such s No-SQL database – a class of databases where the traditional ACID roperty is relaxed, a distributed file-system such as Hadoop that can tore the data across multiple nodes but the data can be accessed from ny node and, map-reduce framework for distributing processing of ata across multiple machines. With these new platform and technologies to handle Big data, a eed has arisen to develop algorithms and systems that can do equivlent actions as traditional data processing systems. This special issue f Journal of Systems and Software presents eight selected papers to escribe such new systems based on Big data technology. The papers ave been chosen for their own merit through a peer review process. owever, the topics of the paper are quite diversified – three papers re on online data processing for Big data, two papers are on health ystems, two papers are on multimedia systems and one paper is on eb based systems.