activity
20122024
most citedAI for Next Generation Computing: Emerging Trends and Future Directions

681 citations · 1.8k across the 26 of their papers we have counts for

collaborators

28 papers

cs.DC2024★ 95 cited

Characterising resource management performance in Kubernetes

Víctor Medel, Rafael Tolosana-Calasanz, José Ángel Bañares +2

A key challenge for supporting elastic behaviour in cloud systems is to achieve a good performance in automated (de-)provisioning and scheduling of computing resources. One of the…

cs.LG2023★ 1 cited

Hierarchical and Decentralised Federated Learning

Omer Rana, Theodoros Spyridopoulos, Nathaniel Hudson +4

Federated learning has shown enormous promise as a way of training ML models in distributed environments while reducing communication costs and protecting data privacy. However, th…

cs.DC2022★ 260 cited

AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions

Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song +15

Resource management in computing is a very challenging problem that involves making sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse nature o…

cs.CR2022★ 4 cited

Exploring the Relationships between Privacy by Design Schemes and Privacy Laws: A Comparative Analysis

Atheer Aljeraisy, Masoud Barati, Omer Rana +1

Internet of Things (IoT) applications have the potential to derive sensitive information about individuals. Therefore, developers must exercise due diligence to make sure that data…

cs.CR2022★ 1 cited

PrivacyCube: A Tangible Device for Improving Privacy Awareness in IoT

Bayan Al Muhander, Omer Rana, Nalin Arachchilage +1

Consumers increasingly bring IoT devices into their living spaces without understanding how their data is collected, processed, and used. We present PrivacyCube, a novel tangible d…

cs.DC2022★ 681 cited

AI for Next Generation Computing: Emerging Trends and Future Directions

Sukhpal Singh Gill, Minxian Xu, Carlo Ottaviani +19

Autonomic computing investigates how systems can achieve (user) specified control outcomes on their own, without the intervention of a human operator. Autonomic computing fundament…

cs.CR2022★ 48 cited

Cybersecurity Challenges in the Offshore Oil and Gas Industry: An Industrial Cyber-Physical Systems (ICPS) Perspective

Abubakar Sadiq Mohammed, Philipp Reinecke, Pete Burnap +2

The offshore oil and gas industry has recently been going through a digitalisation drive, with use of `smart' equipment using technologies like the Industrial Internet of Things (I…

cs.CR2021★ 1 cited

A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports

Masoud Barati, William J. Buchanan, Owen Lo +1

Digital vaccine passports are one of the main solutions which would allow the restart of travel in a post COVID-19 world. Trust, scalability and security are all key challenges one…

cs.DC2021★ 90 cited

HUNTER: AI based Holistic Resource Management for Sustainable Cloud Computing

Shreshth Tuli, Sukhpal Singh Gill, Minxian Xu +8

The worldwide adoption of cloud data centers (CDCs) has given rise to the ubiquitous demand for hosting application services on the cloud. Further, contemporary data-intensive indu…

cs.CY2021★ 2 cited

Tokenising behaviour change: optimising blockchain technology for sustainable transport interventions

Iain Barclay, Michael Cooper, Alun Preece +2

Transport makes an impact across SDGs, encompassing climate change, health, inequality and sustainability. It is also an area in which individuals are able to make decisions which…

cs.CR2021★ 3 cited

Cybersecurity of Industrial Cyber-Physical Systems: A Review

Hakan Kayan, Matthew Nunes, Omer Rana +2

Industrial cyber-physical systems (ICPSs) manage critical infrastructures by controlling the processes based on the "physics" data gathered by edge sensor networks. Recent innovati…

cs.NI2020★ 1 cited

Minimising Delay and Energy in Online Dynamic Fog Systems

Faten Alenizi, Omer Rana

The increasing use of Internet of Things (IoT) devices generates a greater demand for data transfers and puts increased pressure on networks. Additionally, connectivity to cloud se…

cs.SE2020

Synthesising Privacy by Design Knowledge Towards Explainable Internet of Things Application Designing in Healthcare

Lamya Alkhariji, Nada Alhirabi, Mansour Naser Alraja +3

Privacy by Design (PbD) is the most common approach followed by software developers who aim to reduce risks within their application designs, yet it remains commonplace for develop…

cs.HC2020★ 1 cited

Privacy-Aware Internet of Things Notices in Shared Spaces: A Survey

Bayan Al Muhander, Jason Wiese, Omer Rana +1

The balance between protecting users' privacy while providing cost-effective devices that are functional and usable is a key challenge in the burgeoning Internet of Things (IoT) in…

cs.DC2020

WattsApp: Power-Aware Container Scheduling

Hemant Mehta, Paul Harvey, Omer Rana +2

Containers are becoming a popular workload deployment mechanism in modern distributed systems. However, there are limited software-based methods (hardware-based methods are expensi…

cs.DC2020★ 56 cited

ThermoSim: Deep Learning based Framework for Modeling and Simulation of Thermal-aware Resource Management for Cloud Computing Environments

Sukhpal Singh Gill, Shreshth Tuli, Adel Nadjaran Toosi +8

Current cloud computing frameworks host millions of physical servers that utilize cloud computing resources in the form of different virtual machines (VM). Cloud Data Center (CDC)…

cs.CR2020

Cyberattacks and Countermeasures For In-Vehicle Networks

Emad Aliwa, Omer Rana, Charith Perera +1

As connectivity between and within vehicles increases, so does concern about safety and security. Various automotive serial protocols are used inside vehicles such as Controller Ar…

cs.SE2019★ 1 cited

Designing Security and Privacy Requirements in Internet of Things: A Survey

Nada Alhirabi, Omer Rana, Charith Perera

The design and development process for the Internet of Things (IoT) applications is more complicated than that for desktop, mobile, or web applications. First, IoT applications req…

cs.DC2019★ 13 cited

Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey

Bin Qian, Jie Su, Zhenyu Wen +11

Machine Learning (ML) and Internet of Things (IoT) are complementary advances: ML techniques unlock complete potentials of IoT with intelligence, and IoT applications increasingly…

cs.DC2018★ 18 cited

Realizing Edge Marketplaces: Challenges and Opportunities

Blesson Varghese, Massimo Villari, Omer Rana +4

The edge of the network has the potential to host services for supporting a variety of user applications, ranging in complexity from data preprocessing, image and video rendering,…

cs.DC2018★ 375 cited

The Internet of Things, Fog and Cloud Continuum: Integration and Challenges

Luiz F. Bittencourt, Roger Immich, Rizos Sakellariou +7

The Internet of Things needs for computing power and storage are expected to remain on the rise in the next decade. Consequently, the amount of data generated by devices at the edg…

cs.LG2018★ 30 cited

Predicting purchasing intent: Automatic Feature Learning using Recurrent Neural Networks

Humphrey Sheil, Omer Rana, Ronan Reilly

We present a neural network for predicting purchasing intent in an Ecommerce setting. Our main contribution is to address the significant investment in feature engineering that is…

cs.HC2017

Data Capture & Analysis to Assess Impact of Carbon Credit Schemes

Matilda Rhode, Omer Rana, Tim Edwards

Data enables Non-Governmental Organisations (NGOs) to quantify the impact of their initiatives to themselves and to others. The increasing amount of data stored today can be seen a…

cs.DC2017★ 69 cited

A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade

Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale +22

The Cloud computing paradigm has revolutionised the computer science horizon during the past decade and has enabled the emergence of computing as the fifth utility. It has captured…