Scopus Index Publications

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True nature of brain drain and brain gain: A MM-QR analysis on migration, remittances and FDI
(Elsevier Ltd, 2026-12) Lokuliyana, A; Perera, J; Perera, R; Marina, N; Samarakkody, T; Kankanam Pathiranage, H.S
With ever-changing global dynamics, understanding which factors promote or hinder economic growth is crucial for any country. Although many studies have examined the variables migration, remittances, and FDI, fewer have examined their collective impact on economic growth in an income-level analysis. A noticeable limitation of the few existing studies in the area is the inability of the mean-based models to address the heterogeneity in real-life distributions. The main objective of the study was to bridge the knowledge gap and address the heterogeneity concerns in mean-based models using MM-QR, meanwhile providing quantile-based evidence for economic theories such as endogenous growth theory, structural transformation theory and most importantly, brain drain theory. The study used a panel dataset of 118 countries from 1995 to 2023, categorized into 4 income levels. Results of the study supported the brain drain theory, where migration negatively affected poorer economies and hinted at the possible existence of brain gain in HICs. Continuous non-linear behavior of FDI, remittances explained the existence of developmental asymmetries and supported endogenous growth theory and structural transformation theory and reveals development threshold effects. Finally, the study underlines the importance of placing tailored policies to absorb migration, remittances and FDIs for economic growth and provides policy recommendations accordingly.
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Policies based container migration using cross-cloud management platform
(IEEE, 2018-12-21) Janarthanan, K; Peramune, P. R. L. C; Ranaweera, A. T; Krishnamohan, T; Rupasinghe, L; Sampath, K. K; Liyanapathirana, C
Over the last decade, cloud computing has helped in variety of ways to humanity. Mainly in the ways of, achieving Disaster Recovery (DR) and in protecting the end users' data and Anywhere, Any device, Anytime access to the users' data. This research further helps people and organization to overcome common problems related to clouds such as, vendor-lock in and legal regulation. In today's world, more and more organizations are adopting the cloud services mainly because of the reliability and affordability provided by them. However, there are several drawbacks faced by the cloud users and cloud service providers. Apart from the security perspective, the cloud users are facing challenges in control and visibility, lack of standard service interfaces, difficulty in deploying applications across multiple clouds and vendor lock-in. Also, cloud service providers are facing challenges in degradation of the quality of service provided because of the distance between cloud data center and the end user and unexpected interruption of services etc. The above problems can be reduced to a greater extent or mitigated by adopting Multi Cross Cloud Infrastructure. This benefits the cloud users to receive the best quality services to increase their productivity. Hence, the main aim of this research is to build a common platform to manage the cross-cloud environment particularly Microsoft AZURE cloud and Amazon Web Services (AWS) with multiple features such as policies based container migration among the clouds and finding the best virtual machines (VM) across the clouds to deploy new containers. Cross-cloud management platform can be implemented within an organization or Enterprise and is used by the 3rd level support team such as Infrastructure team to provide multiple services (E.g. - Delivering application containers, Migration of containers on request) to end users based on some service level agreements (SLA) with more control and visibility.

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