Next GenERation COmputing Systems (NERO) Lab

We are part of the larger Network Research Group at Queen Mary University of London.

Research Interests

Cloud Computing, Energy Efficiency, Quality of Service (QoS), Software Engineering, Internet of Things, Big Data, Edge Computing and Fog Computing. 

Research Vision

Systematic engineering of scalable solutions, which are targeted towards real problems and emerging computing paradigms such as Cloud Computing, Fog Computing and Service Computing. Development of novel real world systems capable of meeting the challenges/QoS requirements of emerging distributed applications, found in paradigms such as Cloud/Edge/Fog Computing, Serverless Computing and the Internet of Things.

Research Mission

The recent technological developments and paradigms such as Serverless computing, software-defined networking, Internet of Things, and processing at network edge are creating new opportunities for Cloud computing. However, they are also posing several new challenges and creating the need for new approaches and research strategies, as well as the re-evaluation of the models that were developed to address issues such as scalability, elasticity, reliability, security, sustainability, and application models. Emerging technologies such as Fog/Edge, serverless and the Interent of Things present new challenges which cannot be easily met by current resource provisioning and scheduling techniques, frameworks and mechanisms. Future research aims to develop systems capable of manipulating these technologies to meet requirements of modern Internet applications.

AI/ML for Next Generation Computing

To use the latest Artificial Intelligence (AI) and Machine Learning (ML) techniques for the management of IoT applications in Cloud/Fog/Edge/Serverless Computing environment. More Details

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