1k citations · 2.3k across the 48 of their papers we have counts for
6 papers · 1 filter
Transforming Cooling Optimization for Green Data Center via Deep Reinforcement Learning
Yuanlong Li, Yonggang Wen, Kyle Guan +1
Cooling system plays a critical role in a modern data center (DC). Developing an optimal control policy for DC cooling system is a challenging task. The prevailing approaches often…
GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine
Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong +1
Recent studies showed that single-machine graph processing systems can be as highly competitive as cluster-based approaches on large-scale problems. While several out-of-core graph…
GraphH: High Performance Big Graph Analytics in Small Clusters
Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong +1
It is common for real-world applications to analyze big graphs using distributed graph processing systems. Popular in-memory systems require an enormous amount of resources to hand…
Towards Distributed Machine Learning in Shared Clusters: A Dynamically-Partitioned Approach
Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong +1
Many cluster management systems (CMSs) have been proposed to share a single cluster with multiple distributed computing systems. However, none of the existing approaches can handle…
Towards Wi-Fi AP-Assisted Content Prefetching for On-Demand TV Series: A Reinforcement Learning Approach
Wen Hu, Yichao Jin, Yonggang Wen +2
The emergence of smart Wi-Fi APs (Access Point), which are equipped with huge storage space, opens a new research area on how to utilize these resources at the edge network to impr…
Resource Management in Cloud Networking Using Economic Analysis and Pricing Models: A Survey
Nguyen Cong Luong, Ping Wang, Dusit Niyato +2
This paper presents a comprehensive literature review on applications of economic and pricing models for resource management in cloud networking. To achieve sustainable profit adva…