activity
20122021
most citedEnhanced Load Balancing Approach to Avoid Deadlocks in Cloud

28 citations · 33 across the 4 of their papers we have counts for

collaborators

9 papers

cs.DC20211 cited

Prepartition: Load Balancing Approach for Virtual Machine Reservations in a Cloud Data Center

Wenhong Tian, Minxian Xu, Guangyao Zhou +3

Load balancing is vital for the efficient and long-term operation of cloud data centers. With virtualization, post (reactive) migration of virtual machines after allocation is the…

cs.DC2021

Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions

Tahseen Khan, Wenhong Tian, Rajkumar Buyya

Cloud computing has rapidly emerged as model for delivering Internet-based utility computing services. In cloud computing, Infrastructure as a Service (IaaS) is one of the most imp…

cs.DC20203 cited

Energy Efficient Algorithms based on VM Consolidation for Cloud Computing: Comparisons and Evaluations

Qiheng Zhou, Minxian Xu, Sukhpal Singh Gill +4

Cloud Computing paradigm has revolutionized IT industry and be able to offer computing as the fifth utility. With the pay-as-you-go model, cloud computing enables to offer the reso…

cs.AI2018

A New Approach for Resource Scheduling with Deep Reinforcement Learning

Yufei Ye, Xiaoqin Ren, Jin Wang +4

With the rapid development of deep learning, deep reinforcement learning (DRL) began to appear in the field of resource scheduling in recent years. Based on the previous research o…

cs.CC2018

An Efficient Method to Transform SAT problems to Binary Integer Linear Programming Problem

Wenxia Guo, Jin Wang, Majun He +3

In computational complexity theory, a decision problem is NP-complete when it is both in NP and NP-hard. Although a solution to a NP-complete can be verified quickly, there is no k…

cs.DC2016

Self-Adaptive Consolidation of Virtual Machines For Energy-Efficiency in the Cloud

Guozhong Li, Yaqiu Jiang, Wutong Yang +2

In virtualized data centers, consolidation of Virtual Machines (VMs) on minimizing the number of total physical machines (PMs) has been recognized as a very efficient approach. Thi…