With the rapid increase of growth and development in cloud computing it is clear to see that it is becoming a common trend within the industry leading to the adoption by businesses and Information Technology (IT) users alike. Coupled with this trend …
Alongside the healthy development of the Cloud-based technologies across various application deployments, their associated energy consumptions incurred by the excess usage of Information and Communication Technology (ICT) resources, is one of the …
With the increasing use of web services in everyday tasks, we are entering an era of the Internet of Services (IoS). Service discovery and selection has become a critical issue in the area of web services. Traditional service discovery approaches are …
With the unprecedented growing information services in online social networks (OSNs), Internet users are increasingly struggling to keep pace with the sheer volume of massively unstructured social data being created online through information …
Peer-to-Peer (P2P) architecture is an appealing alternative to centralized architecture, especially for large-scale distributed internet applications. Owing to the similarity between human social networks and P2P social networks, where peer nodes are …
Despite the tremendous success of online social networks (OSNs), centrally controlled OSNs have inherent issues related to lack of user privacy and single point of failure. These limitations have motivated the research community to shift the …
With the advancement in communication technologies and the widespread availability of mobile devices, opportunistic mobile social networks (OMSNs) are gaining momentum in supporting spontaneous communication and interaction among end-users who …
The diversity and proliferation of Knowledge bases have made data integration one of the key challenges in the data science domain. The imperfect representations of entities, particularly in graphs, add additional challenges in data integration. …
Data-intensive studies in the domain of accelerator-based High Energy Physics, HEP, have become increasingly more achievable due to the emergence of machine learning with high-performance computing and big data technologies. In recent years, the …
Artificial Intelligence (AI) models can learn from data and make decisions without any human intervention. However, the deployment of such models is challenging and risky because we do not know how internal decision-making is happening in these …