State-of-the-Art Technology in Cloud and Network Infrastructure
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: closed (15 July 2024) | Viewed by 2909
Special Issue Editors
Interests: cloud and network technology; network security
Interests: network systems; network security
Special Issue Information
Dear Colleagues,
Recently, more delay-sensitive and availability-required applications (e.g., web search and online trading) have been deployed over geo-distributed clouds. The applications impose strict requirements for both intra-cloud and inter-cloud networks to guarantee the SLA. In reality, there are two main requirements, i.e., performance and security. Firstly, building a dedicated line for applications is expensive; therefore, adopting new technologies (e.g., SDN and deep learning) that improve user experience in an economical manner is essential for network and cloud providers. Secondly, infrastructures are bearing many threats from the internet, and many attacks can cause significant economic losses; thus, detecting and eliminating security incidents is important. This Special Issue focuses on cloud network optimization technology and security technology to guarantee user experience. We aim to bring together researchers, industry practitioners, and individuals working on these related areas to share their new ideas, latest findings, and state-of-the-art results.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- All types of wide-area, data center, and cloud networks algorithms.
- All aspects of networks and networked systems such as architecture, packet-processing hardware and software, virtualization, mobility, resource management, performance, energy consumption, topology, robustness, security, diagnosis, verification, privacy, economics, evolution, and interactions with applications.
- All types of computer network design, analysis, and experimental approaches such as theory, measurements, and machine learning-based techniques.
Dr. Han Zhang
Dr. Yingya Guo
Dr. Yahui Li
Guest Editors
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Keywords
- computer network
- cloud
- security
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