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Journal Articles
- 2020
[j1]Gayashan Amarasinghe
, Marcos Dias de Assunção, Aaron Harwood, Shanika Karunasekera:
ECSNeT++ : A simulator for distributed stream processing on edge and cloud environments. Future Gener. Comput. Syst. 111: 401-418 (2020)
Conference and Workshop Papers
- 2023
- [c5]Sugunakumar Arunan, Gayashan Amarasinghe, Indika Perera:
Cost-optimized scheduling for Microservices in Kubernetes. CloudCom 2023: 131-138 - 2021
- [c4]J. Dulangi Kanchana, Gayashan Amarasinghe, Vishaka Nanayakkara, Amal Shehan Perera:
A Data Mining Approach for Early Prediction Of Academic Performance of Students. TALE 2021: 1-8 - 2020
- [c3]Aaron Harwood, Maria Rodriguez Read, Gayashan Niroshana Amarasinghe:
Dragon: A Lightweight, High Performance Distributed Stream Processing Engine. ICDCS 2020: 1344-1351 - 2018
- [c2]Gayashan Amarasinghe, Marcos Dias de Assunção, Aaron Harwood, Shanika Karunasekera:
A Data Stream Processing Optimisation Framework for Edge Computing Applications. ISORC 2018: 91-98 - 2013
- [c1]Sanath Jayasena, Saman P. Amarasinghe, Asanka Abeyweera, Gayashan Amarasinghe, Himeshi De Silva, Sunimal Rathnayake, Xiaoqiao Meng, Yanbin Liu:
Detection of false sharing using machine learning. SC 2013: 30:1-30:9
Informal and Other Publications
- 2023
- [i1]J. Dulangi Kanchana, Gayashan Amarasinghe, Vishaka Nanayakkara, Amal Shehan Perera:
A Set of Essentials for Online Learning : CSE-SET. CoRR abs/2303.14621 (2023)
Coauthor Index
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