Big Data Processing Technologies in Distributed Information Systems

Distributed Processing for Big Data Video Analytics

Intelligent Distributed Processing Methods for Big Data

Motivation Today, “Big Data” is a new information overloading problem in many different areas. Such areas include health cares (e.g., medical records, bioinformatics), e-sciences (e.g., physics, chemistry, and geology), and social sciences (e.g., politics). Thus, as we have various types of feasible data from a number of available sources, it is becoming increasingly more difficult to efficient...

Distributed Data Processing Frameworks for Big Graph Data

Recently we create so much data (2.5 quintillion bytes every day) that 90% of the data in the world today has been created in the last two years alone [1]. This data comes from sensors used to gather traffic or climate information, posts to social media sites, photos, videos, emails, purchase transaction records, call logs of cellular networks, etc. This data is big data. In this report, we fir...

Semantic technologies for distributed information systems

In recent years we have seen a tremendous development of distributed information systems, both in terms of scale, as well as in terms of the types of distributed information systems, where classical approaches such as distributed and federated databases are complemented with Peer-to-Peer and Grid technology. When building such distributed information systems, we are faced with three typical cha...

Big Data: Tools and Technologies in Big Data

Big data can be defined as data which requires latest technologies other than the traditional tools and techniques to handle it, due to its unstructured nature. Huge volume, various varieties and high velocity create lots of other challenges and issues regarding its management and processing. Big data is growing at an exponential rate so it becomes important to develop new technologies to deal ...