Demo Data from EDBT 2026 / reviewers in the wild / expert
Wubi Qin
dblp:34/3753
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 1
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 · 70% Energy-efficient computing · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing › resource management
datacenter resource management |
0.1 | 1 | 2005 | Managing server energy and operational costs in hosting centers · SIGMETRICS 2005 |
Energy-efficient computing
power management |
0.1 | 1 | 2005 | Managing server energy and operational costs in hosting centers · SIGMETRICS 2005 |
Cloud and datacenter computing › resource provisioning
server provisioning |
0.1 | 1 | 2005 | Managing server energy and operational costs in hosting centers · SIGMETRICS 2005 |
Cloud and datacenter computing › cloud service management
service level agreement |
0.0 | 1 | 2005 | Managing server energy and operational costs in hosting centers · SIGMETRICS 2005 |
Methods — techniques the papers use, named apart from their topics
queueing analysis · 0.1feedback control theory · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Managing server energy and operational costs in hosting centersabstractThe growing cost of tuning and managing computer systems is leading to out-sourcing of commercial services to hosting centers. These centers provision thousands of dense servers within a relatively small real-estate in order to host the applications/services of different customers who may have been assured by a service-level agreement (SLA). Power consumption of these servers is becoming a serious concern in the design and operation of the hosting centers. The effects of high power consumption manifest not only in the costs spent in designing effective cooling systems to ward off the generated heat, but in the cost of electricity consumption itself. It is crucial to deploy power management strategies in these hosting centers to lower these costs towards enhancing profitability. At the same time, techniques for power management that include shutting down these servers and/or modulating their operational speed, can impact the ability of the hosting center to meet SLAs. In addition, repeated on-off cycles can increase the wear-and-tear of server components, incurring costs for their procurement and replacement. This paper presents a formalism to this problem, and proposes three new online solution strategies based on steady state queuing analysis, feedback control theory, and a hybrid mechanism borrowing ideas from these two. Using real web server traces, we show that these solutions are more adaptive to workload behavior when performing server provisioning and speed control than earlier heuristics towards minimizing operational costs while meeting the SLAs. Lydia Y. Chen, Amitayu Das, Wubi Qin, Anand Sivasubramaniam, Qian Wang 0029, Natarajan Gautam |
SIGMETRICS | 3 |