Ahmed Ali-Eldin Hassan
I am an assistant professor at the Network and Systems Unit. My research falls mostly within the area of Computer Systems, with main focus on on datacenters, cloud computing, and IoT. Before joining Chalmers, I was a postdoc for three years at UMass Amherst working with Prof. Prashant Shenoy. I obtained my PhD in 2015 under the supervision of Prof. Erik Elmroth at UmeƄ University.
All my publications are available here: https://scholar.google.com/citations?user=wwQ_TPYAAAAJ&hl=en
Showing 17 publications
Machine Learning Systems are Bloated and Vulnerable
SLO-Power: SLO and Power-aware Elastic Scaling for Web Services
PADS: Power Budgeting with Diagonal Scaling for Performance-Aware Cloud Workloads
Machine learning systems are bloated and vulnerable
CVF: Cross-Video Filtration on the Edge
Machine learning systems are bloated and vulnerable
Dělen: Enabling Flexible and Adaptive Model-serving for Multi-tenant Edge AI
RAVAS: Interference-Aware Model Selection and Resource Allocation for Live Edge Video Analytics
CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services
CAVE: Caching 360° Videos at the Edge
MicroSplit: Efficient Splitting of Microservices on Edge Clouds
The hidden cost of the edge: A performance comparison of edge and cloud latencies
LaSS: Running Latency Sensitive Serverless Computations at the Edge
Deep Contextualized Compressive Offloading for Images
Data management, communication systems and the edge: Challenges for the future of transportation
Cloud-scale VM-deflation for Running Interactive Applications On Transient Servers
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