Browsing by Author "Barrett, Enda"
Now showing items 1-13 of 13
-
An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future internet of things
Miah, Md Sipon; Schukat, Michael; Barrett, Enda (Springer Nature, 2018-06-07)The cognitive radio relay plays a vital role in cognitive radio networking (CRN), as it can improve the cognitive sum rate, extend the coverage, and improve the spectral efficiency. However, cognitive relay aided CRNs ... -
The application of machine learning to optimise live migration in cloud data centres
Duggan, Martin (NUI Galway, 2019-08-06)Cloud computing providers utilise large-scale data centres to provide computing resource to users’ worldwide. However, an ongoing challenge facing cloud providers is to ensure that the required resource is available to ... -
Applying machine learning towards automating resource management in cloud computing environments
Shaw, Rachael (NUI Galway, 2021-01-28)Over the last number of years there has been high acceleration and widespread adoption of cloud based services by many different industries to improve the scalability and reliability of their services while also reducing ... -
Applying reinforcement learning towards automating resource allocation and application scalability in the cloud
Duggan, Jim; Howley, Enda; Barrett, Enda (Wiley, 2012-05-30)Public Infrastructure as a Service (IaaS) clouds such as Amazon, GoGrid and Rackspace deliver computational resources by means of virtualisation technologies. These technologies allow multiple independent virtual machines ... -
Autonomous hvac control, a reinforcement learning approach
Barrett, Enda; Linder, Stephen (Springer Verlag, 2015-08-29)Abstract—Recent high profile developments of autonomous learning thermostats by companies such as Nest Labs and Honeywell have brought to the fore the possibility of ever greater numbers of intelligent devices permeating ... -
Deep reinforcement learning for home energy management system control
Lissa, Paulo; Deane, Conor; Schukat, Michael; Seri, Federico; Keane, Marcus; Barrett, Enda (Elsevier, 2021-12-26)The use of machine learning techniques has been proven to be a viable solution for smart home energy management. These techniques autonomously control heating and domestic hot water systems, which are the most relevant ... -
Denial of Wallet: Analysis of a looming threat and novel solution for mitigation using image classification
Kelly, Daniel (NUI Galway, 2023-08-22)Serverless Computing is a powerful cloud-based architecture for the creation of applications. It boasts incredible scalability by running processes on a vast network of edge nodes. It decreases the time to deployment, ... -
An energy efficient spectrum sensing scheme for the cognitive radio based internet of things
Miah, Md Sipon (NUI Galway, 2020-07-29)Spectrum sensing in a cognitive radio network involves detecting when a primary user vacates their licensed spectrum to enable secondary users to broadcast on the same band. Accurately sensing the absence of the primary ... -
A learning architecture for scheduling workflow applications in the cloud
Barrett, Enda; Howley, Enda; Duggan, Jim (IEEE, 2011-09-15)The scheduling of workflow applications involves the mapping of individual workflow tasks to computational resources, based on a range of functional and non-functional quality of service requirements. Workflow applications ... -
A Learning Architecture to Support Autonomous Resource Scheduling and Allocation in the Cloud
Barrett, Enda (2013-09-30)The advent of on-demand computing facilitated by computational clouds, provides an almost unlimited resource supply to support the execution of applications and processes. Through a process known as virtualisation large ... -
A new framework for adaptive and agile honeypots
Dowling, Seamus (NUI Galway, 2020-01-13)As new technological concepts appear and evolve, cyberattack surfaces and vectors are exploited. Every Internet facing device or service is vulnerable from the untrusted external Internet. Previously standalone devices are ... -
Reinforcement learning for residential energy management system control
Lissa, Paulo Ricardo (NUI Galway, 2021-12-07)Modern solutions for residential energy management systems control are emerging and helping to improve the way energy is consumed, bringing enhanced comfort and savings to end-users through smart and autonomous actions. ... -
Transfer learning applied to DRL-Based heat pump control to leverage microgrid energy efficiency
Lissa, Paulo; Schukat, Michael; Keane, Marcus M.; Barrett, Enda (Elsevier, 2021-09-11)Domestic hot water accounts for approximately 15% of the total residential energy consumption in Europe, and most of this usage happens during specific periods of the day, resulting in undesirable peak loads. The increase ...