会议名称(中文)： 第五届IEEE大数据和云计算国际会议
会议名称(英文)： The 5th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2015)
所属学科： 计算机科学理论,计算机软件,计算机应用技术,计算机网络
开始日期： 2015-08-26
结束日期： 2015-08-28
所在国家： 中华人民共和国
所在城市： 辽宁省 大连市
主办单位： IEEE Computer Society
[ 重要日期 ]
全文截稿日期： 2015-04-15
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.
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 |
