Jul 2, 2018 · Elastic auto-scaling in cloud platforms has primarily used horizontal scaling by assigning application instances to distributed resources.
However, the huge level of abstraction makes these systems provide coarsegrain results with huge deviations (e.g., over 30% [9]) with just a single server.
A performance interference-aware virtual machine placement strategy for supporting soft realtime applications in the cloud
This paper proposes a machine learning-driven classification scheme for dynamic interference-aware resource scheduling in cloud computing environments.
Dec 1, 2022 · Cloud computing allows several applications to share physical resources, yielding rapid provisioning and improving hardware utilization.
Co-authors ; Performance Interference-Aware Vertical Elasticity for Cloud-Hosted Latency-Sensitive Applications. S Shekhar, H Abdel-Aziz, A Bhattacharjee, A ...
Dec 17, 2019 · The project will research, design and validate new technologies that will enable ubiquitous and collaborative STEM education. The team will ...
Jul 2, 2018 · Performance Interference-Aware Vertical Elasticity for Cloud-Hosted Latency-Sensitive Applications pp. 82-89. Estimating Cloud Application ...
Performance Interference-Aware Vertical Elasticity for Cloud-Hosted Latency-Sensitive Applications. Conference Paper. Full-text available. Jul 2018.
In this paper, we present our practice and experience of employing an adaptive resource management scheme for Big Data workloads in container-based cloud ...