most citedMIPS: Instance Placement for Stream Processing Systems based on Monte Carlo Tree Search

1 citations · 2 across the 7 of their papers we have counts for

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cs.NI2020

Online VNF Chaining and Predictive Scheduling: Optimality and Trade-offs

Xi Huang, Simeng Bian, Xin Gao +4

For NFV systems, the key design space includes the function chaining for network requests and resource scheduling for servers. The problem is challenging since NFV systems usually…

cs.NI2020

Joint Switch-Controller Association and Control Devolution for SDN Systems: An Integration of Online Control and Online Learning

Xi Huang, Yinxu Tang, Ziyu Shao +2

In software-defined networking (SDN) systems, it is a common practice to adopt a multi-controller design and control devolution techniques to improve the performance of the control…

cs.NI2020

Service Chain Composition with Failures in NFV Systems: A Game-Theoretic Perspective

Simeng Bian, Xi Huang, Ziyu Shao +2

For state-of-the-art network function virtualization (NFV) systems, it remains a key challenge to conduct effective service chain composition for different network services (NSs) w…

cs.NI2020

PORA: Predictive Offloading and Resource Allocation in Dynamic Fog Computing Systems

Xin Gao, Xi Huang, Simeng Bian +2

In multi-tiered fog computing systems, to accelerate the processing of computation-intensive tasks for real-time IoT applications, resource-limited IoT devices can offload part of…

cs.NI2020

Green Offloading in Fog-Assisted IoT Systems: An Online Perspective Integrating Learning and Control

Xin Gao, Xi Huang, Ziyu Shao +1

In fog-assisted IoT systems, it is a common practice to offload tasks from IoT devices to their nearby fog nodes to reduce task processing latencies and energy consumptions. Howeve…

cs.NI2020

History-Aware Online Cache Placement in Fog-Assisted IoT Systems: An Integration of Learning and Control

Xin Gao, Xi Huang, Yinxu Tang +2

In Fog-assisted IoT systems, it is a common practice to cache popular content at the network edge to achieve high quality of service. Due to uncertainties in practice such as unkno…