[hpc-announce] CFP: IEEE BDCloud 2022 (Big Data and Cloud Computing), Dec. 2022, Melbourne, Australia

Jesson Butt jesson.butt at gmail.com
Tue Aug 23 10:21:03 CDT 2022

Call for papers:

The 12th IEEE International Conference on Big Data and Cloud Computing
(BDCloud2022), 17-19 Dec. 2022, Melbourne, Australia.

Website: http://www.swinflow.org/confs/2022/bdcloud/

Key dates:
Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm)
Notification: October 25, 2022
Final Manuscript Due: November 10, 2022

Submission site: http://www.swinflow.org/confs/2022/bdcloud/submission.htm

Proceedings will be published by IEEE CS Press.

Special issues:
Distinguished papers will be selected for special issues Journal of
Parallel and Distributed Computing, Concurrency and Computation: Practice
and Experience, Journal of Computer and System Science


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, 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.

Scope and Topics

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

Submission Guidelines
Submissions must include an abstract, keywords, the e-mail address of the
corresponding author and should not exceed 8 pages (or up to 10 pages with
over length charge), including tables and figures in IEEE CS format. The
template files for LATEX or WORD can be downloaded here. All paper
submissions must represent original and unpublished work. Each submission
will be peer reviewed by at least three program committee members.
Submission of a paper should be regarded as an undertaking that, should the
paper be accepted, at least one of the authors will register for the
conference and present the work.

Submit your paper(s) in PDF file at the submission site:

Accepted and presented papers will be included into the IEEE Conference
Proceedings published by IEEE CS Press. Authors of accepted papers, or at
least one of them, are requested to register and present their work at the
conference, otherwise their papers may be removed from the digital
libraries of IEEE CS and EI after the conference.

Distinguished papers will be selected for special issues in Journal of
Parallel and Distributed Computing, Concurrency and Computation: Practice
and Experience, Journal of Computer and System Science.

General Chairs
Xuemin Lin, The University of New South Wales, Australia
Geoffrey Fox, Indiana University, USA
Yun Yang, Swinburne University of Technology, Australia

Program Chairs
Vladimir Vlassov, KTH Royal Institute of Technology, Sweden
Li Li, Monash University, Australia
Lina Yao, University of New South Wales, Australia

Workshop Chairs
Jason Xue, Data61, Australia
Ibrahim Khalil, RMIT, Australia

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