Important News

- Conference program can be downloaded at here. Call for session chairs. If you are interested, please email Xuyun Zhang at confs.aus@gmail.com by 24 Nov. 2013. Please nominate 2-3 sessions you can chair.

 

- All paper notifications have been emailed to the corresponding author on 25 Sept. 2013. The corresponding author is the author who submitted your paper.

 

- Please go to Registration page for registering your papers by 15 October 2013 which is strictly enforced. If we do not receive your registration by that date, your papers will be moved.

 

- Please go to Camera-ready page for uploading your camera-ready papers by 15 October 2013 which is also strictly enforced.

 

- For conference Venue, Visa and Invitation Letter issues, please click the "Venue and Travel Guide" icon in the left column.

 

- For Accommodation, please click the "Accommodation" icon in the left column.

 

- Call for posters and demos:
http://www.swinflow.org/confs/bdds2013/demo.htm
Deadline: 30 September 2013 (included in conference proceedings); and 30 October 2013 (not included in conference proceedings).


Introduction

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 2013 is the next event in a series of highly successful International Conferences, previously held as 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). 

 

Sydney is the largest city of Australia. Sydney is a centre for commerce, education, industry, sports and tourism. Sweeping harbour views, attractive and interesting architecture combined with year round mild weather makes Sydney a great place to visit such as Sydney Opera House, Sydney Harbour Bridge and Blue Mountain.

 

Various one-day trips and other types of trips can be enjoyed while atmosphere of Xmas in Sydney is coming to the stage. Refer to http://www.sydneydaytours.com.au/ for more information about sightseeing.