●会议名称(中文)：  2014年大数据和云计算国际会议

●会议名称(英文)：  2014 International Conference on Big Data and Cloud Computing (CCBD)

●所属学科：  计算机软件,计算机应用技术,计算机网络,人工智能

●开始日期：  2014-12-03

●结束日期：  2014-12-05

●所在国家：  澳大利亚

●所在城市：      澳大利亚

●具体地点：  Sydney, Australia

●主办单位：  IEEE Computer Society

●会务组联系方式

联系人：  Prof. Jinjun Chen
E-MAIL：  jinjun.chen@gmail.com

●会议网站：  http://www.swinflow.org/confs/bdcloud2014/

●会议背景介绍：
 
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).
 
Cloud computing is positioning itself as an emerging platform for delivering information infrastructures and resources as IT services. Customers (enterprises or individuals) can provision and deploy Cloud services via pay-as-you-go pricing models saving huge capital investments in their own IT infrastructures.
 
As estimated by IDC, by 2020, about 40% data globally would be touched with Cloud Computing. Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing.
 
BDCloud (Big Data and Cloud Computing) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Big Data and Cloud Computing as well as their synergy.
 
BDCloud 2014 is the next event in a series of highly successful International Conferences, previously held as CGC2013 (Karlsruhe, Germany), CGC2012 (Xiangtan, China), and CGC 2011 (Australia).

●征文范围及要求：
 
Topics of particular interest include, but are not limited to:
·   Fundamentals of cloud computing
·   Architectural cloud models
·   Programming cloud models
·   Provisioning/pricing cloud models
·   Data storage and computation in cloud computing
·   Resource and large-scale job scheduling in cloud computing
·   Security, privacy, trust, risk in cloud and big data
·   Fault tolerance and reliability in cloud computing
·   Access control to cloud computing
·   Resource virtualisation
·   Monitoring and auditing in cloud
·   Scalable and elastic cloud services
·   Social computing and impacts on the cloud
·   Innovative HCI and touch-screen models and technologies to cloud
·   Mobile commerce, handheld commerce and e-markets on cloud
·   Intelligent/agent-based cloud computing
·   Migration of business applications to cloud
·   Energy efficient cloud architecture
·   Energy aware data storage and computation in cloud computing
·   Energy aware scheduling, monitoring, auditing in cloud
·   Green Cloud
·   Cloud use case studies
·   Big Data theory, applications and challenges
·   Big Data mining and analytics on Cloud
·   Big Data Infrastructure, MapReduce and Cloud Computing
·   Big Data visualization
·   Large data stream, incremental datasets on cloud
·   Distributed and federated datasets
·   NoSQL data stores and DB scalability
·   Big Data sharing, security, privacy and trust
·   Big Data placement, scheduling, and optimization
·   Distributed file systems for Big Data
·   Big Data processing, resource scheduling and SLA on Cloud
·   Performance characterization, evaluation and optimization
·   Simulation and debugging of Big Data systems
·   Volume, Velocity, Variety, Value and Veracity of Big Data
·   Storage and computation management of Big Data
·   Large-scale workflow management in Big Data
·   Data management and distributed data systems
·   Big data applications