ICBDB 2019 : 2019 International Conference on Big Data and Blockchain(ICBDB 2019)

  in Conferences   Posted on March 14, 2019

Conference Information

Submission Deadline Tuesday 30 Apr 2019
Conference & Submission Link http://www.icobdb.org/
Conference Dates Aug 23, 2019 - Aug 25, 2019
Conference Address Vancouver, Canada
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

★2019 International Conference on Big Data and Blockchain(ICBDB 2019) – Ei Compendex & Scopus—Call for paper 

August 23-25, 2019|Vancouver, Canada|Website:http://www.icobdb.org/

★Researchers, scientists, engineers and industry professionals will join together this year at ICBDB 2019, where the latest research will be unveiled and groundbreaking research projects will be presented. The field of Big Data and Blockchain is entering an era of unprecedented change and innovation. ICBDB 2019 presents one of 2019’s premiere opportunities to hear from and network with an international array of experts on the ever evolving state of the field.

★Publication and Indexing

All accepted papers will be published in the digital conference proceedings which will send to be indexed by all major citation databases such as Ei Compendex, Scopus, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc.

A selection of papers will be recommended to be published in journals.

★Program Preview/ Program at a glance

August 23, 2019: Registration + Icebreaker Reception

August 24, 2019: Opening Ceremony+ KN Speech+ Technical Sessions 

August 25, 2019: Technical Sessions+ Half day tour/Lab tours

★Paper Submission

1. PDF version submit via CMT:https://cmt3.research.microsoft.com/ICBDB2019

2.Submit Via email directly to: icbdb@hksra.org


Ms.Tiya T. Deng

Email: icbdb@hksra.org

Website: http://www.icobdb.org/

Call for papers(http://www.icobdb.org/cfp.html):

Applications with blockchain technique

Attacks on blockchain based systems

Blockchain and Bitcoin security

Blockchain and trust management

Blockchain based IoT security solutions

Blockchain based lightweight data structures for IoT data

Blockchain consensus and fault tolerance mechanisms

Blockchain data management

Blockchain data provenance

Blockchain in 5G

Blockchain in cyber physical systems

Blockchain in edge and cloud computing

Blockchain in social networking

Blockchain schemes for decentralization

Blockchain storage management

Blockchain system design, performance and optimization

Bolckchain in crowdsourcing and crowdsensing

Data mining and knowledge discovery on blockchain

Data security, privacy and trust in blockchain

Distributed consensus and fault tolerance mechanisms

Information retrieval on blockchain

Innovative applications driven by blockchain

Performance optimization of blockchain and decentralized schemes

Protocols and algorithms based on blockchain

Query processing on blockchain

Security, privacy and trust of blockchain and decentralized schemes

Smart contract and distributed ledger

Smart contract and distributed ledger

Theories of blockchain and its evolution

Transaction management on blockchain

Algorithmic, experimental, prototyping and implementation

Big Data Algorithms, Applications and Services

Big Data Education

Big Data Mining and Analytics

Big Data Processing and Querying

Big Data Visualization

Cloud and Big Data for Internet of Things (IoT)

Cloud Computing Solutions and Platforms

Computing, scheduling and resource management for sustainability

Data intensive computing theorems and technologies

Data quality issues: such as validation, metrics, optimizations and consistency

Data-driven innovation, computational modelling and data integration

Government and Industrial Experiences for Cloud and Big Data

Green Computing and Networking Technologies for Cloud and Big Data

Green data centers / environmental-friendly perspectivesGreen data centers / environmental-friendly perspectives

Privacy and Security for Cloud and Big Data

Software and tools for big data management

Software Engineering for Cloud Computing and Big Data

Software, hardware and algorithm co-design, high-performance computing

Virtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS

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