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★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/
★Venue: Τhe University of British Columbia,Vancouver, Canada
The University of British Columbia (UBC) is a public research university with campuses in Vancouver and Kelowna, British Columbia. Established in 1908, UBC is British Columbia's oldest university. The university is ranked among the top 20 public universities worldwide and among the top three in Canada.
★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.
★Keynote Speakers
Prof.Shikharesh Majumdar, Carleton University, Canada
Dr.Ziad Kobti, University of Windsor, Canada
★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: [email protected]
★CONTACT US
Ms.Tiya T. Deng
Email: [email protected]
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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