会议信息

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

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截稿日期:
2018-08-12 已截稿
通知日期:
2018-08-27
会议日期:
2018-11-17
会议地点:
Fuzhou, China
浏览: 16222   关注: 2   参加: 3
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会伴指数 (CP-I)

43.5 / 100
全站第 3,612 名 / 共 5,696 个会议 · 前 64%

数据挖掘与数据库 第 209 / 336 安全与隐私 第 221 / 362 系统与体系结构 第 256 / 340

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
23
资料公开度 (15%)
25

用到的输入: 在会伴关注它的研究者：2 人 · 过去 24 个月打开过本页的研究者：4 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-10-15

征稿

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:
由 Dou Sun 最后更新于

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