VLDB 2026 Research / reviewers in the wild / expert
Isaac Ackerman
dblp:154/0916
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2Systems, 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
2 papers |
Cloud and datacenter computing · 64% Emerging computing paradigms · 36% | |
| Computer networks
1 paper |
Edge and fog computing · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Emerging computing paradigms
approximate computing |
0.2 | 1 | 2015 | Monitoring and Debugging the Quality of Results in Approximate Programs · ASPLOS 2015 |
Cloud and datacenter computing
application deployment |
0.2 | 1 | 2014 | Customizable and Extensible Deployment for Mobile/Cloud Applications · OSDI 2014 |
Cloud and datacenter computing
mobile cloud computing |
0.2 | 1 | 2014 | Customizable and Extensible Deployment for Mobile/Cloud Applications · OSDI 2014 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Monitoring and Debugging the Quality of Results in Approximate ProgramsabstractEnergy efficiency is a key concern in the design of modern computer systems. One promising approach to energy-efficient computation, approximate computing, trades off output accuracy for significant gains in energy efficiency. However, debugging the actual cause of output quality problems in approximate programs is challenging. This paper presents dynamic techniques to debug and monitor the quality of approximate computations. We propose both offline debugging tools that instrument code to determine the key sources of output degradation and online approaches that monitor the quality of deployed applications. Michael F. Ringenburg, Adrian Sampson, Isaac Ackerman, Luis Ceze, Dan Grossman |
ASPLOS | 3 |
| 2014 | Customizable and Extensible Deployment for Mobile/Cloud Applications
Irene Zhang, Adriana Szekeres, Dana Van Aken, Isaac Ackerman, Steve D. Gribble, Arvind Krishnamurthy, Henry M. Levy |
OSDI | 4 |