- Notification deadline has been extended to 7 July 2014 in accordance with the registration system preparation.

- Submission deadline extended to 11:59PM (UTC/GMT+8 hours) May 31, 2014 (firm)

- 5 student travel awards with $500 each has been granted from IEEE Technical Committee on Scalable Computing (TCSC) to support student travel (must be registered author of accepted papers). Each award will come with a formal IEEE TCSC endorsed certificate which is an IEEE level formal recognition.

- IEEE BDSE 2014 (Big Data Science and Engineering) is co-located with IEEE TrustCom-14 (The 13th IEEE International Conference on Trust, Security and Privacy in Computing and Communications), Tsinghua University, Beijing, China, 24-26 Sept. 2014.

Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce. Big data is more than simply a matter of size; it is an opportunity to find insights in new and emerging types of data and content, to make business more agile, and to answer questions that were previously considered beyond our reach. Distributed systems is a classical research discipline investigating various distributed computing technologies and applications such as cloud computing and MapReduce. With new paradigms and technologies, distributed systems research keeps going with new innovative outcomes from both industry and academia. For example, wide deployment of MapReduce is a distributed programming paradigm and an associated implementation to support distributed computing over large big datasets on cloud.

BDSE (Big Data Science and Engineering) is created to provide a prime international forum for both researchers, industry practitioners and environment experts to exchange the latest fundamental advances in the state of the art and practice of Big Data and broadly related areas.

BDSE 2014 is the next event in a series of highly successful International Conferences, previously held as BDSE2013 (Sydney Australia), BigDataMR-12 (Xiangtan, China November 2012), AHPCN-12 (Bradford, UK, June 2012), AHPCN-11 (Banff, Canada, September 2011), AHPCN-10 (Melbourne, Australia, September 2010), AHPCN-09 (Seoul, Korea, June 2009), AHPCN-08 (Dalian, China, September 2008).