53 citations · 65 across the 7 of their papers we have counts for
8 papers
EDRP: Enhanced Dynamic Relay Point Protocol for Data Dissemination in Multi-hop Wireless IoT Networks
Jothi Prasanna Shanmuga Sundaram, Magzhan Gabidolla, Luis Fujarte +11
Emerging IoT applications are transitioning from battery-powered to grid-powered nodes. DRP, a contention-based data dissemination protocol, was developed for these applications. T…
Towards VM Rescheduling Optimization Through Deep Reinforcement Learning
Xianzhong Ding, Yunkai Zhang, Binbin Chen +6
Modern industry-scale data centers need to manage a large number of virtual machines (VMs). Due to the continual creation and release of VMs, many small resource fragments are scat…
COMNETS: COst-sensitive decision trees approach to throughput optimization for Multi-radio IoT NETworkS
Jothi Prasanna Shanmuga Sundaram, Magzhan Gabidolla, Miguel A. Carreira-Perpinan +1
Mesoscale IoT applications, such as P2P energy trade and real-time industrial control systems, demand high throughput and low latency, with a secondary emphasis on energy efficienc…
MARS: Multi-radio Architecture with Radio Selection using Decision Trees for emerging mesoscale CPS/IoT applications
Jothi Prasanna Shanmuga Sundaram, Arman Zharmagambetov, Magzhan Gabidolla +2
IoT is rapidly growing from small-scale apps to large-scale apps. Small-scale apps employ short-range radios like Zigbee,BLE while large-scale apps employ long-range radios like Lo…
HPC-GPT: Integrating Large Language Model for High-Performance Computing
Xianzhong Ding, Le Chen, Murali Emani +6
Large Language Models (LLMs), including the LLaMA model, have exhibited their efficacy across various general-domain natural language processing (NLP) tasks. However, their perform…
Multi-zone HVAC Control with Model-Based Deep Reinforcement Learning
Xianzhong Ding, Alberto Cerpa, Wan Du
In this paper, we conduct a set of experiments to analyze the limitations of current MBRL-based HVAC control methods, in terms of model uncertainty and controller effectiveness. Us…