Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Binlei Cai"'
Autor:
Qin Guo, Binlei Cai
Publikováno v:
Electronic Research Archive, Vol 31, Iss 3, Pp 1387-1404 (2023)
We consider the rescaled pure greedy learning algorithm (RPGLA) with the dependent samples drawn according to a non-identical sequence of probability distributions. The generalization performance is provided by applying the independent-blocks techniq
Externí odkaz:
https://doaj.org/article/d1e4d9a6756f455b91c0f9768bdcaaa5
Publikováno v:
IEEE Access, Vol 6, Pp 18804-18813 (2018)
Many learning algorithms use hypothesis spaces which are trained from samples, but little theoretical work has been devoted to the study of these algorithms. In this paper, we show that mathematical analysis for the kernel-based coefficient least squ
Externí odkaz:
https://doaj.org/article/766fb3cc54e14d209d67e67b4fca8d93
Publikováno v:
Future Generation Computer Systems. 143:61-75
Publikováno v:
IEEE Internet of Things Journal. 10:6271-6285
Publikováno v:
IEEE Transactions on Cloud Computing. 10:1941-1957
Modern resource management frameworks guarantee low tail latency for long-running services using the resource over-provisioning method, resulting in serious waste of resources and increasing the service costs greatly. To reduce the over-provisioning
Autor:
Xiaodong Dong, Binlei Cai
Publikováno v:
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
Autor:
Xiaodong Dong, Binlei Cai
Publikováno v:
2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom).
Publikováno v:
The Computer Journal. 65:2377-2391
Many long-running applications (LRAs) are increasingly using containerization in shared production clusters. To achieve high resource efficiency and LRA performance, one of the key decisions made by existing cluster schedulers is the placement of LRA
Publikováno v:
Journal of Systems Architecture. 98:403-412
As multi-tenant cloud storage services are becoming increasingly popular in commercial clouds, there is a growing need for evaluating their resource usage effectiveness. Although tail latency and resource utilization are the most important and popula