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ICCBB 2018: International Conference on Cloud Computing, Big Data and Blockchain

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ICCBB
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투고 마감일:
2018-08-12 Extended
통보일:
2018-08-27
개최일:
2018-11-17
개최지:
Fuzhou, China
조회: 15857   팔로우: 2   참가: 3

회반 지수 (CP-I)

43.5 / 100
전체 5,646개 중 3,419위 · 상위 61%

데이터 마이닝·데이터베이스 분야 336개 중 201위 보안·프라이버시 분야 357개 중 210위 시스템·아키텍처 분야 341개 중 248위

근거가 제한적입니다: 이 학회는 CCF / ICORE / QUALIS 어디에도 수록되어 있지 않고 게재율 데이터도 없어, 점수의 대부분이 중립 기준값으로 되돌아갑니다.
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
커뮤니티 관심도 (10%)
23
공개 자료 충실도 (15%)
25

사용한 입력: 회반에서 팔로우 중인 연구자: 2명 · 지난 24개월 동안 이 페이지를 연 연구자: 4명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 25% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-08-30

논문 모집

ICCBB 2018 (International Conference on Cloud Computing, Big Data and Blockchain) is an academic conference held in Fuzhou, China on 2018-11-17. The paper submission deadline is 2018-08-12 (extended). Acceptance notifications are sent on 2018-08-27.

Cloud (Edge) Computing makes data truly mobile and a user can simply access a chosen cloud with any internet accessible device. Big Data Intelligence has become pervasive in business in every industry where decision making is being fundamentally transformed by Thinking Machines. Blockchain-based technologies have recently emerged into the mainstream, demonstrating the advantages of decentralization, disintermediation, anonymity and censorship resistance, especially in relation with the financial sector. ICCBB 2018 aims to bring together researchers who work on cloud computing, big data, blockchain and related technologies. Topics include but are not limited to: 1. Architecture *Cloud Infrastructure as a Service *Cloud Platform as a Service *Cloud federation and hybrid cloud infrastructure *Programming models and systems/tools *Green data center *Networking technologies for data center *Cloud system design with FPGA, GPU, APU *Monitoring, management and maintenance *Economic and business models *Dynamic resource provisioning 2. MapReduce *Performance characterization and optimization *MapReduce on multi-core, GPU *MapReduce on hybrid distributed environments *MapReduce on opportunistic / heterogeneous computing systems *Extension of the MapReduce programming model *Debugging and simulation of MapReduce systems *Data-intensive applications using MapReduce *Optimized storage for MapReduce applications *Fault-tolerance & Self-* capabilities 3. Security and Privacy *Accountability *Audit in clouds *Authentication and authorization *Cryptographic primitives *Reliability and availability *Trust and credential management *Usability and security *Security and privacy in clouds *Legacy systems migration *Cloud Integrity and Binding Issues 4. Services and Applications *Cloud Service Composition *Query and discovery models for cloud services *Trust and Security in cloud services *Change management in cloud services *Organization models of cloud services *Innovative cloud applications and experiences *Business process and workflow management *Service-Oriented Architecture in clouds 5. Virtualization *Server, storage, network virtualization *Resource monitoring *Virtual desktop *Resilience, fault tolerance *Modeling and performance evaluation *Security aspects *Enabling disaster recovery, job migration *Energy efficient issues 6. HPC on Cloud *Load balancing for HPC clouds *Middleware framework for HPC clouds *Scalable scheduling for HPC clouds *HPC as a Service *Performance Modeling and Management *Programming models for HPC clouds *HPC cloud applications *Optimal cloud deployment for HPC 7. Big Data: *Machine learning *Data mining *Approximate and scalable statistical methods *Graph algorithms *Querying and search *Data Lifecycle Management for Big Data (sources, cleansing, federation, preservation, privacy, etc.) *Frameworks, tools and their composition *Storage and analytic architectures *Performance and debugging *Hardware optimizations for Big Data (multi-core, GPU, networking, etc.) *Data Flow management and scheduling 8. Blockchain technology and applications:
최종 수정: Dou Sun ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
IEEE Cloud Computing MagazineIEEE2325-6095
BlockchainELSP2959-1260
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
Journal of Cloud ComputingSpringer2192-113X
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X

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