Demo Data from VLDB 2026 / reviewers in the wild / expert
Eric Fiterman
dblp:26/2679
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2Human-computer interaction and ubiquitous computing · 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 |
Embedded and real-time systems · 44% Energy-efficient computing · 44% Performance modeling and evaluation · 13% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 77% Design research and methods · 23% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems
real-time operating systems |
0.0 | 1 | 2003 | The Performance and Energy Consumption of Embedded Real-Time Operating Systems · IEEE Trans. Computers 2003 |
Human-robot interaction › social robot
robotic pet |
0.0 | 1 | 1999 | Designing PETS: A Personal Electronic Teller of Stories · CHI 1999 |
Performance modeling and evaluation › simulation › architectural simulation
execution-driven simulation |
0.0 | 1 | 2003 | The Performance and Energy Consumption of Embedded Real-Time Operating Systems · IEEE Trans. Computers 2003 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0prototype development · 0.0intergenerational design · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | The Performance and Energy Consumption of Embedded Real-Time Operating SystemsabstractWe present the modelling of embedded systems with SimBed, an execution-driven simulation testbed that measures the execution behavior and power consumption of embedded applications and RTOSs by executing them on an accurate architectural model of a microcontroller with simulated real-time stimuli. We briefly describe the simulation environment and present a study that compares three RTOSs: /spl mu/C/OS-II, a popular public-domain embedded real-time operating system; Echidna, a sophisticated, industrial-strength (commercial) RTOS; and NOS, a bare-bones multirate task scheduler reminiscent of typical "roll-your-own" RTOSs found in many commercial embedded systems. The microcontroller simulated in this study is the Motorola M-CORE processor: a low-power, 32-bit CPU core with 16-bit instructions, running at 20MHz. Our simulations show what happens when RTOSs are pushed beyond their limits and they depict situations in which unexpected interrupts or unaccounted-for task invocations disrupt timing, even when the CPU is lightly loaded. In general, there appears no clear winner in timing accuracy between preemptive systems and cooperative systems. The power-consumption measurements show that RTOS overhead is a factor of two to four higher than it needs to be, compared to the energy consumption of the minimal scheduler. In addition, poorly designed idle loops can cause the system to double its energy consumption-energy that could be saved by a simple hardware sleep mechanism. Kathleen Baynes, Chris Collins, Eric Fiterman, Brinda Ganesh, Paul Kohout, Christine Smit, Tiebing Zhang, Bruce L. Jacob |
IEEE Trans. Computers | 3 |
| 2001 | The performance and energy consumption of three embedded real-time operating systemsabstractThis paper presents the modeling of embedded systems with SimBed, an execution-driven simulation testbed that measures the execution behavior and power consumption of embedded applications and RTOSs by executing them on an accurate architectural model of a microcontroller with simulated real-time stimuli. We briefly describe the simulation environment and present a study that compares three RTOSs: μC/OS-II, a popular public-domain embedded real-time operating system; Echidna, a sophisticated, industrial-strength (commercial) RTOS; and NOS, a bare-bones multi-rate task scheduler reminiscent of typical "roll-your-own" RTOSs found in many commercial embedded systems. The microcontroller simulated in this study is the Motorola M-CORE processor: a low-power, 32-bit CPU core with 16-bit instructions, running at 20MHz. Kathleen Baynes, Chris Collins, Eric Fiterman, Brinda Ganesh, Paul Kohout, Christine Smit, Tiebing Zhang, Bruce L. Jacob |
CASES | 3 |
| 1999 | Designing PETS: A Personal Electronic Teller of StoriesabstractWe have begun the development of a new robotic pet that can support children in the storytelling process. Children can build their own pet by snapping together the modular animal parts of the PETS robot. After their pet is built, children can tell stories using the My Pets software. These stories can then be acted out by their robotic pet. This video paper describes the motivation for this research and the design process of our intergenerational design team in building the first PETS prototypes. We will discuss our progress to date and our focus for the future. Allison Druin, Jaime Montemayor, James A. Hendler, Britt McAlister, Angela Boltman, Eric Fiterman, Aurelie Plaisant, Alex Kruskal, Hanne Olsen, Isabella Revett, Thomas Plaisant Schwenn, Lauren Sumida, Rebecca Wagner |
CHI | 6 |