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EdgeCom 2026: IEEE International Conference on Edge Computing and Scalable Cloud

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EdgeCom
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截稿日期:
2026-08-01
通知日期:
2026-09-01
会议日期:
2026-12-19
会议地点:
Shanghai, China
届数:
12
浏览: 23113   关注: 4   参加: 1

会伴指数 (CP-I)

49.8 / 100
全站第 1,579 名 / 共 5,650 个会议 · 前 28%

系统与体系结构 第 157 / 340

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%)
69
社区关注 (10%)
32
资料公开度 (15%)
35

用到的输入: 有据可查的届次：12 · 在会伴关注它的研究者：4 人 · 过去 24 个月打开过本页的研究者：8 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 2026-09-06

征稿

EdgeCom 2026 (IEEE International Conference on Edge Computing and Scalable Cloud) is an academic conference held in Shanghai, China on 2026-12-19. The paper submission deadline is 2026-08-01. Acceptance notifications are sent on 2026-09-01.

Nowadays, edge computing techniques are universally used and become more powerful. The edge devices are well developed such as mobile phones, wearable devices, and IoT devices. Today edge computing has evolved to a new computing paradigm where computing tasks are completed closer to data sources (i.e. at edge) rather than in a centralized location (e.g. in cloud). Compared with cloud computing, edge computing has many advantages: 1) Services can be done without network access. 2) Users can choose not to upload private data in exchange of cloud services. 3) Real-time service with extremely low latency is possible without the overhead of moving data to the cloud. However, the restricted resources (e.g., computation, DRAM space, and battery) of edge devices bring many new challenges to edge computing as well. IEEE EdgeCom 2026 provides a forum for researchers and engineers from academia and industry to present innovative research and best practices in edge computing, discuss the opportunities and challenges that arise from rethinking cloud computing architectures and embracing edge computing. IEEE EdgeCom 2026 welcomes contributions from diverse perspectives of edge computing, which include (but are not limited to) the following topics: Artificial Intelligence in Edge Computing Deep Learning in Edge Computing Edge computing in IoT Security and fault tolerance for embedded or ubiquitous systems Privacy protection in edge computing Software/Algorithm optimization for edge computing Cyber security in mobile embedded systems Edge computing infrastructure Workload characterization and analysis of applications running on edge devices Digital forensics and privacy issues in cloud computing Cyber monitoring approaches Case studies of real-world edge computing applications Monitoring and diagnosis tools for edge computing Social engineering, insider threats, advance spear phishing On-device artificial intelligence Heterogeneous clouds and vulnerabilities Secure methods for heterogeneous cloud resource sharing Architecture support for edge computing Cloud-based audio/video streaming techniques Energy efficient edge computing Case studies for cyber security applications Cloud-based real-time multimedia techniques New attack methods and applications Green cloud computing Quality of Service (QoS) improvements techniques Edge-Cloud coordinated computing Cloud-based sensor network and security issues
由 Dou Sun 最后更新于

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CCFICORECP-I简称全称截稿日期会议日期
C61.6CSCloudIEEE International Conference on Cyber Security and Cloud Computing2026-08-012026-12-19

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