Demo Data from EDBT 2026 / reviewers in the wild / expert
Phillip Tuma
dblp:298/8717
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 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 |
Energy-efficient computing · 56% Cloud and datacenter computing · 44% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy-efficient computing › thermal management
datacenter cooling |
0.5 | 1 | 2021 | Cost-Efficient Overclocking in Immersion-Cooled Datacenters · ISCA 2021 |
Energy-efficient computing › thermal management
datacenter thermal management |
0.1 | 1 | 2021 | Cost-Efficient Overclocking in Immersion-Cooled Datacenters · ISCA 2021 |
Methods — techniques the papers use, named apart from their topics
workload characterization · 0.5prototype measurement · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Cost-Efficient Overclocking in Immersion-Cooled DatacentersabstractCloud providers typically use air-based solutions for cooling servers in datacenters. However, increasing transistor counts and the end of Dennard scaling will result in chips with thermal design power that exceeds the capabilities of air cooling in the near future. Consequently, providers have started to explore liquid cooling solutions (e.g., cold plates, immersion cooling) for the most power-hungry workloads. By keeping the servers cooler, these new solutions enable providers to operate server components beyond the normal frequency range (i.e., overclocking them) all the time. Still, providers must tradeoff the increase in performance via overclocking with its higher power draw and any component reliability implications.In this paper, we argue that two-phase immersion cooling (2PIC) is the most promising technology, and build three prototype 2PIC tanks. Given the benefits of 2PIC, we characterize the impact of overclocking on performance, power, and reliability. Moreover, we propose several new scenarios for taking advantage of overclocking in cloud platforms, including oversubscribing servers and virtual machine (VM) auto-scaling. For the auto-scaling scenario, we build a system that leverages overclocking for either hiding the latency of VM creation or postponing the VM creations in the hopes of not needing them. Using realistic cloud workloads running on a tank prototype, we show that overclocking can improve performance by 20%, increase VM packing density by 20%, and improve tail latency in auto-scaling scenarios by 54%. The combination of 2PIC and overclocking can reduce platform cost by up to 13% compared to air cooling. Majid Jalili 0004, Ioannis Manousakis, Íñigo Goiri, Pulkit A. Misra, Ashish Raniwala, Husam Alissa, Bharath Ramakrishnan, Phillip Tuma, Christian Belady, Marcus Fontoura, Ricardo Bianchini |
ISCA | 8 |