activity
20122020
most citedH2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers -- A Hierarchical Hybrid DRL (Deep Reinforcement Learning) based Approach

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2020

Efficient Task Mapping for Manycore Systems

Xiqian Wang, Jiajin Xi, Yinghao Wang +2

System-on-chip (SoC) has migrated from single core to manycore architectures to cope with the increasing complexity of real-life applications. Application task mapping has a signif…

cs.DC2020

S4oC: A Self-optimizing, Self-adapting Secure System-on-Chip Design Framework to Tackle Unknown Threats -- A Network Theoretic, Learning Approach

Shahin Nazarian, Paul Bogdan

We propose a framework for the design and optimization of a secure self-optimizing, self-adapting system-on-chip (S4oC) architecture. The goal is to minimize the impact of attacks…

cs.DC20192 cited

H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers -- A Hierarchical Hybrid DRL (Deep Reinforcement Learning) based Approach

Mingxi Cheng, Ji Li, Paul Bogdan +1

Cloud computing has attracted both end-users and Cloud Service Providers (CSPs) in recent years. Improving resource utilization rate (RUtR), such as CPU and memory usages on server…

cs.DC2019

Design Methodology for Energy Efficient Unmanned Aerial Vehicles

Jingyu He, Yao Xiao, Corina Bogdan +2

In this paper, we present a load-balancing approach to analyze and partition the UAV perception and navigation intelligence (PNI) code for parallel execution, as well as assigning…

math.PR20121 cited

Balls into Bins via Local Search

Paul Bogdan, Thomas Sauerwald, Alexandre Stauffer +1

We propose a natural process for allocating n balls into n bins that are organized as the vertices of an undirected graph G. Each ball first chooses a vertex u in G uniformly at ra…