Publications

Displaying 1 - 25 of 162

Poster: Green Network Optimization with Multi-Agent Reinforcement Learning: Work in Progress

May 1, 2024

Author(s)

Vladimir Marbukh

This paper proposes a distributed Green Network Optimization (GNO) with Multi-Agent Reinforcement Learning (MARL). GNO-MARL combines: (a) Network Utility Maximization (NUM) based network management, given the capacity constraints, on a "fast" time scale

Simulating Job Replication Versus its Energy Usage

December 10, 2023

Author(s)

Brian D. Cloteaux, Vladimir Marbukh

Due to the proliferation of computers in all aspects of our lives, the energy and ecological impacts of computing are becoming increasing important. Some of the transformative algorithms of recent years generate huge amounts of carbon dioxide, potentially

Impact of the Exposure Time and Distance Thresholds on the Performance of Automatic Contact Tracing

October 23, 2023

Author(s)

Brian D. Cloteaux, Vladimir Marbukh, Kamran Sayrafian

Automatic exposure notification apps operate based on guidelines that specify distance and time thresholds to measure the occurrence of contacts with infected individuals. In the United States 2 m/15 min thresholds are used to determine exposures due to a

Impact of Using Soft Exposure Thresholds in Automatic Contact Tracing

December 21, 2022

Author(s)

Kamran Sayrafian, Brian D. Cloteaux, Vladimir Marbukh

Current automatic exposure notification apps primarily operate based on hard distance/time threshold guidelines (e.g., 2 m/15 min in the United States) to determine exposures due to close contacts. However, the possibility of virus transmission through

On the Performance of Automatic Exposure Determination Using Bluetooth-based Proximity Estimation

August 11, 2022

Author(s)

Kamran Sayrafian, Brian D. Cloteaux, Vladimir Marbukh

The proximity detection mechanism in current automatic exposure notification systems is typically based on the Bluetooth signal strength from the individual's mobile phone. However, there is an underlying error in this proximity detection methodology that

Evaluation of the Bluetooth-based Proximity Estimation for Automatic Exposure Determination

February 10, 2022

Author(s)

Kamran Sayrafian, Brian D. Cloteaux, Vladimir Marbukh, Christian Emiyah

A commonly used methodology to estimate the proximity of two individuals in an automatic exposure notification system is using the signal strength of the Bluetooth signal from their mobile phones. However, there is an underlying error in this Bluetooth

Utility Proportional Resource Allocation for Users with Diverse SLAs in Virtualized Radio Access Networks

May 26, 2020

Author(s)

Vladimir Marbukh, Kamran Sayrafian, Behnam Rouzbehani

A virtualization platform is responsible for allocation and aggregation of radio resources from different access technologies as well as the distribution of the total capacity among Virtual Network Operators (VNOs). The Radio Resource Management (RRM)

A Joint Admission Control & Resource Management Scheme for Virtualized Radio Access Networks

December 16, 2019

Author(s)

Kamran Sayrafian, Vladimir V. Marbukh, Behnam Rouzbehani

A virtualization platform is responsible for allocation and/or aggregation of radio resources from different access technologies owned by the Infrastructure Providers (InPs). It is also responsible for the distribution of the total capacity among Virtual

Towards Fog Network Utility Maximization (FoNUM) for Managing Fog Computing Resources

September 2, 2019

Author(s)

Vladimir V. Marbukh

Fog computing is an emerging architecture, which extends the Cloud computing paradigm to the edge of the network, enabling new applications and services, including Internet of Things (IoT). End users have certain computation tasks, which can be completed

Towards Cross-Layer Optimization of Virtualized Radio Access Networks

August 15, 2019

Author(s)

Vladimir Marbukh, Kamran Sayrafian, Behnam Rouzbehani, Luis Correia

This paper proposes an approach to cross-layer optimization of virtualized Radio Access Network resources in future mobile communications. Assuming that the Virtual Network Operators (VNOs) guarantee contracted Service Level Agreements (SLAs) with the

SIS Contagion Avoidance on a Network Growing by Preferential Attachment

June 30, 2019

Author(s)

Brian D. Cloteaux, Vladimir V. Marbukh

The economic and convenience benefits of interconnectivity drive the current explosive growth in networked systems. However, as recent catastrophic contagious failures in numerous large-scale networked infrastructures have demonstrated, interconnectivity

Dynamic Job Replication for Balancing Fault Tolerance, Latency, and Economic Efficiency: Work in Progress

September 6, 2018

Author(s)

Vladimir V. Marbukh

Recent research has demonstrated benefits of replication of requests with canceling, which initiates multiple concurrent replicas of a request and uses the first successful result immediately removing the remaining replicas of the completed request from

On Mitigation Inefficiency of Selfish Investment in Network Recovery from High Loss SIS Infection

September 6, 2018

Author(s)

Vladimir V. Marbukh

This paper reports on quantification and mitigation of the inefficiency of selfish investment in network recovery from Susceptible Infected Susceptible (SIS) infection in a practically important case of high losses due to infection. In this case, both

Network Formation by Contagion Averse Agents: Modeling Bounded Rationality with Logit Learning

August 31, 2018

Author(s)

Vladimir V. Marbukh

Economic and convenience benefits of interconnectivity drive current explosive emergence and growth of networked systems. However, as recent catastrophic contagious failures in numerous large scale networked infrastructures demonstrated, these benefits of

Economics of Networked Infrastructures at the Edge of Undesirable Contagion: A Case of SIS Infection

July 9, 2018

Author(s)

Vladimir V. Marbukh

This paper reports on managing systemic risk of undesirable contagion in a networked system in a practically important case of high losses due to contagion. In this case, both socially optimal as well as selfish investments in the risk mitigation keep the

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