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 13th 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.

Keynote (Zoom URL):

Others:

For all regular papers, authors need to upload a pre-recorded presentation on EDAS (https://www.edas.info/).

The deadline for submitting the presentations and posters is Dec 10, 11:59 PM (UTC).

Presentation requirements:

Please make sure that your presentation file follows these guidelines:

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

All papers need to be submitted electronically through the website (https://edas.info/N30917) with PDF format. Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. A submission is limited to 8 pages for main conference regular papers, 6 pages for workshop papers or short papers in the IEEE Computer Society Proceedings Format with Portable Document Format (.pdf).

A submission can have at most 4 additional pages with the pages overlength charge if accepted. Papers must be clearly presented in English, including tables, figures, references and appendices.

Papers will be selected based on their originality, significance, relevance, and clarity of presentation assessed by at least three reviewers. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and present the work, with either online or offline presentation.

IEEE BDCloud 2023 reserves the right to exclude a paper from distribution after the conference (e.g., removal from the digital library and indexing services), if the paper is not presented at the conference.

Accepted and presented papers will be submitted in the IEEE for indexing. Distinguished papers presented at the conference, after further revision, will be published in special issues of high quality international journals. Two or three outstanding papers will be selected to receive the Best Paper Awards.