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BDCloud 2017 : The 7th IEEE International Conference on Big Data and Cloud Computing

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Link: http://bdcloud.csclouds.org
 
When Aug 5, 2017 - Aug 7, 2017
Where New York, USA
Submission Deadline Mar 1, 2017
Notification Due May 15, 2017
Final Version Due Jul 1, 2017
 

Call For Papers

Big data is a term applied to many data sets with sizes going beyond the ability of commonly used software tools to capture, manage, process and analyze the data within a tolerable time period. Such datasets are usually characterized by having high VARIETY due to the data coming from various sources or having highly unstructured character (examples include data from social media, sensor networks, scientific applications, video and image formats, websites and documents, Internet search indexes, medical records, business transactions, web logs, etc.); and large VOLUMES that are needed to be processed with high data VELOCITY (I/O-intensive systems). Moreover, big data need to be high VALUE and VERACITY for decision makers to effectively take action and trust the results and rationale.

Cloud computing is an increasingly popular approach for delivering information infrastructures and resources as computing services. A broad range of customers (both enterprises and individuals) can usually provision and deploy Cloud services via pay-as-you-go pricing models, which let them save significant capital investments in their own computing infrastructures. As estimated by IDC, by 2020, about 40% data globally will be touched with Cloud Computing.

Cloud Computing can provide significant storage, computation, and distribution capabilities in support of solving multiple Big Data challenges. The BDCloud (Big Data and Cloud Computing) conference 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 support synergy of both fields.


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

Regarding paper submission, please refer to Submission Page: http://bdcloud.submission.csclouds.org










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