Research Publications Authored by SLIIT Staff

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This collection includes all SLIIT staff publications presented at external conferences and published in external journals. The materials are organized by faculty to facilitate easy retrieval.

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2018 - 201912020 - 20251

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    PublicationOpen Access
    Mapping causal relationships between migration and economic growth: A visual and empirical approach
    (Elsevier, 2025-09-17) Azmi, Y; Landersz, S; Dissanayake, P; Chloe, L
    The focus of this study is to identify whether causal relationships exist between migration and economic growth across countries in the Asian continent. Real GDP per capita and net migration per capita were used to measure economic growth and net migration, respectively. A dataset comprising panel data from 1994 to 2023, covering 41 countries, was utilised. The Bootstrap Dumitrescu and Hurlin Granger non-causality test was conducted for a continental analysis of Asia. Further, the Granger causality Wald test was undertaken for in-depth country-level analysis. The empirical results indicate a unidirectional causality in Asian continent, and Eastern, and Western Asian sub reigns while other sub reigns indicated no causality. Additionally, while majority of the countries indicated no causality, seven countries namely, Saudi Arabia, Turkmenistan, Viet Nam, Sri Lanka, Macao SAR China, Malaysia and Rep. Korea indicated unidirectional causalities. Based on these findings, implications were made for policymakers when developing economic policies that leverage the economic potential of net migration.
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    PublicationEmbargo
    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.