Zobrazeno 1 - 10
of 92
pro vyhledávání: '"JIUXIN CAO"'
Autor:
Pingping Li, Jiuxin Cao
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-16 (2023)
Abstract Online migration of virtual machines (VMs) is indispensable for system maintenance as it helps to achieve several resource management objectives such as load balancing, proactive fault tolerance, green operation, and resource management of d
Externí odkaz:
https://doaj.org/article/1ab76ea149134b0090d66d23a4f299ba
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12915 (2023)
The constantly updating big data in the ocean engineering domain has challenged the traditional manner of manually extracting knowledge, thereby underscoring the current absence of a knowledge graph framework in such a special field. This paper propo
Externí odkaz:
https://doaj.org/article/e9eaa233ecf34a17a74adce71799f477
Autor:
Pingping Li, Jiuxin Cao
Publikováno v:
Sensors, Vol 22, Iss 23, p 9154 (2022)
High energy consumption and low resource utilization have become increasingly prominent problems in cloud data centers. Virtual machine (VM) consolidation is the key technology to solve the problems. However, excessive VM consolidation may lead to se
Externí odkaz:
https://doaj.org/article/cfb7d461e0d8427787d94a9ab79b5aae
Publikováno v:
IEEE Access, Vol 7, Pp 105973-105986 (2019)
Cyber security significantly relies on the dynamic communities in social networks. The location-based social network (LBSN) is a new type of social system that has sprung up recently that. It turns traditional social networks into heterogeneous netwo
Externí odkaz:
https://doaj.org/article/c72bfb9105cf476da2bf08b6eece398b
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 11, Iss 1 (2018)
As a new type of heterogeneous social network, Event-Based Social Network (EBSN) has experienced rapid development after its appearance. In EBSN, the interaction data between users and events is relatively sparse because of the short life cycle of ev
Externí odkaz:
https://doaj.org/article/0afd8fa4eb0448f2b95483eca1f1d865
Publikováno v:
IEEE Transactions on Computational Social Systems. 10:982-993
Publikováno v:
ACM Transactions on Information Systems. 41:1-30
In the news recommendation, users are overwhelmed by thousands of news daily, which makes the users’ behavior data have high sparsity. Therefore, only considering a single user’s personalized preferences cannot support the news recommendation. Ho
Publikováno v:
IEEE Transactions on Computational Social Systems. 10:234-245
Autor:
Pingping Li, Jiuxin Cao
Publikováno v:
Computers, Materials & Continua. :1-22
Publikováno v:
ACM Computing Surveys; 2023 Suppl13s, Vol. 55, p1-37, 37p