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BDCloud 2023 : 13th IEEE International Conference on Big Data and Cloud Computing

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Link: http://www.ieee-hust-ncc.org/2023/BDCloud/index.html
 
When Dec 21, 2023 - Dec 24, 2023
Where Wuhan, China
Submission Deadline Aug 15, 2023
Notification Due Sep 25, 2023
Final Version Due Oct 20, 2023
Categories    computer science   big data   cloud computing
 

Call For Papers

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.

The 11th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2023) is the next event in a series of highly successful International Conferences

Prospective authors are invited to submit their papers to BDCloud 2023. The conference proceedings will be submitted to IEEE Xplore. The authors of selected best papers will be invited post conference to extend their contributions for special issues of prestigious journals to be planned in conjunction with the conference.

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

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