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Hamid Henry Safi

dblp:434/0693 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0006-3004-5199ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing › resource management › resource pooling
resource pool management
1.012026
DROPS: Managing Serverless Resource Pools in Microsoft Azure Functions · EuroSys 2026
Cloud and datacenter computing
serverless computing
1.012026
DROPS: Managing Serverless Resource Pools in Microsoft Azure Functions · EuroSys 2026

Methods — techniques the papers use, named apart from their topics

SLO-based pool sizing · 1.0
YearPublicationVenuePosition
2026 DROPS: Managing Serverless Resource Pools in Microsoft Azure Functions
abstract
Azure Functions maintains pools of pre-warmed containers to avoid the high container-allocation latency. The size of a pool is important: a pool that is too small leads to high allocation latency, whereas a pool that is too large wastes resources and increases cost. Service providers typically oversize pools to meet service-level objectives (SLOs). Our findings indicate that the cost of maintaining pre-warmed container pools dominates the overall platform cost, motivating the need for effective pool management strategies.
Ahmed Alquraan, Abdelrahman Baba, Rafael Mendes da Silva, Sameh Elnikety, Paul Batum, Hamid Henry Safi, Seth Fine, Samer Al-Kiswany
EuroSys7