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Rellermeyer, J.S. (author), Amer, Maher (author), Smutzer, Richard (author), Rajamani, Karthick (author)
While containers efficiently implement the idea of operating-system-level application virtualization, they are often insufficient to increase the server utilization to a desirable level. The reason is that in practice many containerized applications experience a limited amount of load while there are few containers with a high load. In such a...
conference paper 2018
document
Rellermeyer, J.S. (author), Omranian Khorasani, S. (author), Graur, Dan (author), Parthasarathy, Apourva (author)
Emerging Big Data analytics and machine learning applications require a significant amount of computational power. While there exists a plethora of large-scale data processing frameworks which thrive in handling the various complexities of data-intensive workloads, the ever-increasing demand of applications have made us reconsider the...
conference paper 2019
document
Rellermeyer, J.S. (author), Amer, Maher (author), Smutzer, Richard (author), Rajamani, Karthick (author)
poster 2018