EDBT 2026 Demo / reviewers in the wild / expert
Lokesh Jindal
dblp:199/7248
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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 |
Energy-efficient computing · 87% Cloud and datacenter computing · 13% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy-efficient computing
power management |
0.3 | 1 | 2017 | NCAP: Network-Driven, Packet Context-Aware Power Management for Client-Server Architecture · HPCA 2017 |
Energy-efficient computing › power management › device power management
processor power management |
0.3 | 1 | 2017 | NCAP: Network-Driven, Packet Context-Aware Power Management for Client-Server Architecture · HPCA 2017 |
Cloud and datacenter computing › cloud service management
service level agreement |
0.1 | 1 | 2017 | NCAP: Network-Driven, Packet Context-Aware Power Management for Client-Server Architecture · HPCA 2017 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | NCAP: Network-Driven, Packet Context-Aware Power Management for Client-Server ArchitectureabstractThe rate of network packets encapsulating requests from clients can significantly affect the utilization, and thus performance and sleep states of processors in servers deploying a power management policy. To improve energy efficiency, servers may adopt an aggressive power management policy that frequently transitions a processor to a low-performance or sleep state at a low utilization. However, such servers may not respond to a sudden increase in the rate of requests from clients early enough due to a considerable performance penalty of transitioning a processor from a sleep or low-performance state to a high-performance state. This in turn entails violations of a service level agreement (SLA), discourages server operators from deploying an aggressive power management policy, and thus wastes energy during low-utilization periods. For both fast response time and high energy-efficiency, we propose NCAP, Network-driven, packet Context-Aware Power management for client-server architecture. NCAP enhances a network interface card (NIC) and its driver such that it can examine received and transmitted network packets, determine the rate of network packets containing latency-critical requests, and proactively transition a processor to an appropriate performance or sleep state. To demonstrate the efficacy, we evaluate on-line data-intensive (OLDI) applications and show that a server deploying NCAP consumes 37~61% lower processor energy than a baseline server while satisfying a given SLA at various load levels. Mohammad Alian, Ahmed H. M. O. Abulila, Lokesh Jindal, Daehoon Kim 0001, Nam Sung Kim |
HPCA | 3 |