Cloud-based video analytics using convolutional neural networks (2018)
Journal Article
Yaseen, M. U., Anjum, A., Farid, M., & Antonopoulos, N. (2019). Cloud-based video analytics using convolutional neural networks. Software: Practice and Experience, 49(4), 565-583. https://doi.org/10.1002/spe.2636

Object classification is a vital part of any video analytics system, which could aid in complex applications such as object monitoring and management. Traditional video analytics systems work on shallow networks and are unable to harness the power of... Read More about Cloud-based video analytics using convolutional neural networks.

Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds (2018)
Journal Article
Yaseen, M. U., Anjum, A., Rana, O., & Antonopoulos, N. (2019). Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds. IEEE Transactions on Systems, Man and Cybernetics: Systems, 49(1), 253-264. https://doi.org/10.1109/TSMC.2018.2840341

A system to perform video analytics is proposed using a dynamically tuned convolutional network. Videos are fetched from cloud storage, preprocessed, and a model for supporting classification is developed on these video streams using cloud-based infr... Read More about Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds.

An approach to optimise resource provision with energy-awareness in datacentres by combating task heterogeneity. (2018)
Journal Article
Panneerselvam, J., Liu, L., & Antonopoulos, N. (2018). An approach to optimise resource provision with energy-awareness in datacentres by combating task heterogeneity. IEEE Transactions on Emerging Topics in Computing, https://doi.org/10.1109/TETC.2018.2794328

Cloud workloads are increasingly heterogeneous such that a single Cloud job may encompass one to several tasks, and tasks belonging to the same job may behave distinctively during their actual execution. This inherent task heterogeneity imposes incre... Read More about An approach to optimise resource provision with energy-awareness in datacentres by combating task heterogeneity..

An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres (2018)
Journal Article
Panneerselvam, J., Liu, L., Lu, Y., & Antonopoulos, N. (2018). An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres. Future Generation Computer Systems, 83, 239-249. https://doi.org/10.1016/j.future.2017.12.064

Cloud datacentre resources and the arriving jobs are addressed to be exhibiting increased level of heterogeneity. A single Cloud job may encompass one to several number of tasks, such tasks usually exhibit increased level of behavioural heterogeneity... Read More about An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres.

Modeling and analysis of a deep learning pipeline for cloud based video analytics (2017)
Presentation / Conference Contribution
Yaseen, M. U., Anjum, A., & Antonopoulos, N. (2017, December). Modeling and analysis of a deep learning pipeline for cloud based video analytics. Presented at BDCAT '17: Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, Austin, Texas, USA

Video analytics systems based on deep learning approaches are becoming the basis of many widespread applications including smart cities to aid people and traffic monitoring. These systems necessitate massive amounts of labeled data and training time... Read More about Modeling and analysis of a deep learning pipeline for cloud based video analytics.

Big data analytics in healthcare: A cloud based framework for generating insights (2017)
Book Chapter
Anjum, A., Aizad, S., Arshad, B., Subhani, M. M., Davies-Tagg, D., Abdullah, T., & Antonopoulos, N. (2017). Big data analytics in healthcare: A cloud based framework for generating insights. In N. Antonopoulos, & L. Gillam (Eds.), Cloud Computing (153-170). Springer. https://doi.org/10.1007/978-3-319-54645-2_6

With exabytes of data being generated from genome sequencing, a whole new science behind genomics big data has emerged. As technology improves, the cost of sequencing a human genome has gone down considerably increasing the number of genomes being se... Read More about Big data analytics in healthcare: A cloud based framework for generating insights.

InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments (2017)
Journal Article
Panneerselvam, J., Liu, L., & Antonopoulos, N. (2018). InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments. Future Generation Computer Systems, 80, 322-341. https://doi.org/10.1016/j.future.2017.05.022

Cloud Computing has emerged as a low cost anywhere anytime computing paradigm. Given the energy consumption characteristics of the Cloud resources, service providers are under immense pressure to reduce the energy implications of the datacentres. For... Read More about InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments.

Efficient service discovery in decentralized online social networks (2017)
Journal Article
Yuan, B., Liu, L., & Antonopoulos, N. (2018). Efficient service discovery in decentralized online social networks. Future Generation Computer Systems, 86, 775-791. https://doi.org/10.1016/j.future.2017.04.022

Online social networks (OSN) have attracted millions of users worldwide over the last decade. There are a series of urgent issues faced by existing OSN such as information overload, single-point of failure and privacy concerns. The booming Internet o... Read More about Efficient service discovery in decentralized online social networks.

Spatial frequency based video stream analysis for object classification and recognition in clouds (2016)
Presentation / Conference Contribution
Yaseen, M. U., Anjum, A., & Antonopoulos, N. (2016, December). Spatial frequency based video stream analysis for object classification and recognition in clouds. Presented at 3rd IEEE/ACM conference on Big Data Computing, Applications and Technologies, Shanghai, China

The recent rise in multimedia technology has made it easier to perform a number of tasks. One of these tasks is monitoring where cheap cameras are producing large amount of video data. This video data is then processed for object classification to ex... Read More about Spatial frequency based video stream analysis for object classification and recognition in clouds.

Clinical and genomics data integration using meta-dimensional approach (2016)
Presentation / Conference Contribution
Subhani, M. M., Anjum, A., Koop, A., & Antonopoulos, N. (2016, December). Clinical and genomics data integration using meta-dimensional approach. Presented at UCC '16: 9th International Conference on Utility and Cloud Computing, Shanghai, China

Clinical and genomics datasets contain humongous amount of information which are used in their respective environments independently to produce new science or better explain existing approaches. The interaction of data between these two domains is ve... Read More about Clinical and genomics data integration using meta-dimensional approach.

Mobilouds: An Energy Efficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks (2016)
Journal Article
Panneerselvam, J., Hardy, J., Liu, L., Yuan, B., & Antonopoulos, N. (2016). Mobilouds: An Energy Efficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks. IEEE Access, 4, 9129-9144. https://doi.org/10.1109/access.2016.2602321

Given the emergence of mobile cloud computing (MCC), its associated energy implications are witnessed at larger scale. With offloading computationally intensive tasks to the cloud datacentres being the basic concept behind MCC, most of the mobile ter... Read More about Mobilouds: An Energy Efficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks.

Video stream analysis in clouds: An object detection and classification framework for high performance video analytics (2016)
Journal Article
Tariq, M., Anjum, A., Abdullah, T., Tariq, M. F., Baltaci, Y., & Antonopoulos, N. (2016). Video stream analysis in clouds: An object detection and classification framework for high performance video analytics. IEEE Transactions on Cloud Computing, https://doi.org/10.1109/TCC.2016.2517653

Object detection and classification are the basic tasks in video analytics and become the starting point for other complex applications. Traditional video analytics approaches are manual and time consuming. These are subjective due to the very involv... Read More about Video stream analysis in clouds: An object detection and classification framework for high performance video analytics.

Traffic monitoring using video analytics in clouds (2015)
Presentation / Conference Contribution
Abdullah, T., Anjum, A., Tariq, M. F., Baltaci, Y., & Antonopoulos, N. (2014, December). Traffic monitoring using video analytics in clouds. Presented at 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC), London, United Kingdom

Traffic monitoring is a challenging task on crowded roads. Traditional traffic monitoring procedures are manual, expensive, time consuming and involve human operators. They are subjective due to the very involvement of human factor and sometimes prov... Read More about Traffic monitoring using video analytics in clouds.

A critical review of the routing protocols in opportunistic networks. (2014)
Journal Article
Panneerselvam, J., Atojoko, A., Smith, K., Liu, L., & Antonopoulos, N. (2014). A critical review of the routing protocols in opportunistic networks. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 1(1), Article e6. https://doi.org/10.4108/inis.1.1.e6

The goal of Opportunistic Networks (OppNets) is to enable message transmission in an infrastructure less environment where a reliable end-to-end connection between the hosts in not possible at all times. The role of OppNets is very crucial in today’s... Read More about A critical review of the routing protocols in opportunistic networks..

A critical comparative evaluation on DHT-based peer-to-peer search algorithms (2014)
Journal Article
Betts, A., Liu, L., Li, Z., & Antonopoulos, N. (2014). A critical comparative evaluation on DHT-based peer-to-peer search algorithms. International Journal of Embedded Systems, 6(2/3), 250-256. https://doi.org/10.1504/ijes.2014.063823

Peer-to-peer networks are becoming increasingly popular as a method of creating highly scalable and robust distributed systems. To address performance issues when scaling traditional unstructured protocols to large network sizes many protocols have b... Read More about A critical comparative evaluation on DHT-based peer-to-peer search algorithms.

Cloud BI: Future of business intelligence in the Cloud (2014)
Journal Article
Al-Aqrabi, H., Liu, L., Hill, R., & Antonopoulos, N. (2015). Cloud BI: Future of business intelligence in the Cloud. Journal of Computer and System Sciences, 81(1), 85-96. https://doi.org/10.1016/j.jcss.2014.06.013

In self-hosted environments it was feared that business intelligence (BI) will eventually face a resource crunch situation due to the never ending expansion of data warehouses and the online analytical processing (OLAP) demands on the underlying netw... Read More about Cloud BI: Future of business intelligence in the Cloud.

Virtual vignettes: the acquisition, analysis, and presentation of social network data (2014)
Journal Article
Howden, C., Liu, L., Li, Z., Li, J., & Antonopoulos, N. (2014). Virtual vignettes: the acquisition, analysis, and presentation of social network data. Science China Information Sciences, 57(3), 1-20. https://doi.org/10.1007/s11432-014-5069-9

Online social networks (OSNs) are immensely prevalent and have now become a ubiquitous and important part of the modern, developed society. However, online social networks pose significant problems to digital forensic investigators who have no experi... Read More about Virtual vignettes: the acquisition, analysis, and presentation of social network data.

Approaching the Internet of things (IoT): a modelling, analysis and abstraction framework (2013)
Journal Article
Ikram, A., Anjum, A., Hill, R., Antonopoulos, N., Liu, L., & Sotiriadis, S. (2015). Approaching the Internet of things (IoT): a modelling, analysis and abstraction framework. Concurrency and Computation: Practice and Experience, 27(8), 1966-1984. https://doi.org/10.1002/cpe.3131

Summary
The evolution of communication protocols, sensory hardware, mobile and pervasive devices, alongside social and cyber‐physical networks, has made the Internet of things (IoT) an interesting concept with inherent complexities as it is realised... Read More about Approaching the Internet of things (IoT): a modelling, analysis and abstraction framework.

Performance evaluation and simulation of peer-to-peer protocols for Massively Multiplayer Online Games (2013)
Journal Article
Liu, L., Jones, A., Antonopoulos, N., Ding, Z., & Zhan, Y. (2015). Performance evaluation and simulation of peer-to-peer protocols for Massively Multiplayer Online Games. Multimedia Tools and Applications, 74(8), 2763-2780. https://doi.org/10.1007/s11042-013-1662-y

Massively Multiplayer Online Games are networked games that allow a large number of people to play together. Classically MMOG worlds are hosted on many powerful servers and players that move around the world are passed from server to server as they p... Read More about Performance evaluation and simulation of peer-to-peer protocols for Massively Multiplayer Online Games.

An Investigation of Security Trends in Personal Wireless Networks (2013)
Journal Article
Liu, L., Stimpson, T., Antonopoulos, N., Ding, Z., & Zhan, Y. (2014). An Investigation of Security Trends in Personal Wireless Networks. Wireless Personal Communications, 75(3), 1669-1687. https://doi.org/10.1007/s11277-013-1386-3

Wireless networks are an integral part of day-to-day life for many people, with businesses and home users relying on them for connectivity and communication. This paper examines the problems relating to the topic of wireless security and the backgrou... Read More about An Investigation of Security Trends in Personal Wireless Networks.