1 citations · 3 across the 5 of their papers we have counts for
5 papers
Is Intelligence the Right Direction in New OS Scheduling for Multiple Resources in Cloud Environments?
Xinglei Dou, Lei Liu, Limin Xiao
Making it intelligent is a promising way in System/OS design. This paper proposes OSML+, a new ML-based resource scheduling mechanism for co-located cloud services. OSML+ intellige…
LarQucut: A New Cutting and Mapping Approach for Large-sized Quantum Circuits in Distributed Quantum Computing (DQC) Environments
Xinglei Dou, Lei Liu, Zhuohao Wang +1
Distributed quantum computing (DQC) is a promising way to achieve large-scale quantum computing. However, mapping large-sized quantum circuits in DQC is a challenging job; for exam…
QuCloud+: A Holistic Qubit Mapping Scheme for Single/Multi-programming on 2D/3D NISQ Quantum Computers
Lei Liu, Xinglei Dou
Qubit mapping is essential to quantum computing's fidelity and quantum computers' resource utilization. Yet, the existing qubit mapping schemes meet some challenges (e.g., crosstal…
A New Qubits Mapping Mechanism for Multi-programming Quantum Computing
Lei Liu, Xinglei Dou
For a specific quantum chip, multi-programming helps to improve overall throughput and resource utilization. However, the previous solutions for mapping multiple programs onto a qu…
Intelligent Resource Scheduling for Co-located Latency-critical Services: A Multi-Model Collaborative Learning Approach
Lei Liu
Latency-critical services have been widely deployed in cloud environments. For cost-efficiency, multiple services are usually co-located on a server. Thus, run-time resource schedu…