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SC2 2019: International Symposium on Cloud and Service Computing

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SC2
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截稿日期:
2019-08-05 Extended
通知日期:
2019-08-31
会议日期:
2019-11-18
会议地点:
Kaohsiung, Taiwan
届数:
9
浏览: 21382   关注: 7   参加: 3

会伴指数 (CP-I)

46.5 / 100
全站第 2,420 名 / 共 5,682 个会议 · 前 43%

信息系统与 Web 第 112 / 253

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%)
62
社区关注 (10%)
28
资料公开度 (15%)
25

用到的输入: 有据可查的届次：9 · 在会伴关注它的研究者：7 人 · 过去 24 个月打开过本页的研究者：2 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 45% —— 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 1.1 · 算于 2026-09-14

征稿

SC2 2019 (International Symposium on Cloud and Service Computing) is an academic conference held in Kaohsiung, Taiwan on 2019-11-18. The paper submission deadline is 2019-08-05 (extended). Acceptance notifications are sent on 2019-08-31.

The 'Cloud' is a natural evolution of distributed computing and the widespread adaption of virtualization and SOA. Services computing is a new cross-discipline subject that covers the science and technology needed to bridge the gap between business services and IT services. In cloud computing, IT-related capabilities and resources are provided as services, via the Internet and on-demand, accessible without requiring detailed knowledge of the underlying technology. IEEE SC2 2019 is an important forum for researchers and industry practitioners to exchange information regarding advancements in the state of art and practice of IT-driven cloud computing technologies and services, as well as to identify emerging research topics and define the future directions of cloud and services computing. Scope and Topics IEEE SC2 2019 will be held on November 18-21, 2019, co-located with IEEE DataCom 2019, IEEE SOCA 2019, IOV 2019, in Kaohsiung, Taiwan. Topics of interest include, but are not limited to: Cloud architecture Cloud OS, middleware, and toolkits Storage architectures Big Data Virtualization techniques Resource provision, monitoring, and scheduling Privacy and access control for cloud computing Performance evaluation and modeling measurement for cloud computing Programming models for building cloud applications Networking in cloud computing Security of services Energy efficient hardware and software solutions High availability and reliability Large scale cloud applications, including Internet/web computing and data mining Volunteer computing Grid computing Service Oriented Architecture Discovery of services and data in Cloud Computing infrastructures Foundations of Services Computing Services-Centric Business Models Business Process Integration and Management
由 Dou Sun 最后更新于

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