Demo Data from EDBT 2026 / reviewers in the wild / expert
Ken Hoyme
dblp:12/3870
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2Software 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
2 papers |
Embedded and real-time systems · 84% Distributed systems · 10% Cloud and datacenter computing · 6% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems › real-time embedded systems
avionics systems |
0.0 | 2 | 1994 | ARINC 659 Scheduling: Problem Definition · RTSS 1994 The Airplane Information Management System: an integrated real-time flight-deck control system · RTSS 1992 |
Embedded and real-time systems
real-time scheduling |
0.0 | 2 | 1994 | ARINC 659 Scheduling: Problem Definition · RTSS 1994 The Airplane Information Management System: an integrated real-time flight-deck control system · RTSS 1992 |
Embedded and real-time systems › real-time scheduling
pre-run-time scheduling |
0.0 | 1 | 1992 | The Airplane Information Management System: an integrated real-time flight-deck control system · RTSS 1992 |
Distributed systems › distributed system architecture
distributed multiprocessor system |
0.0 | 2 | 1994 | ARINC 659 Scheduling: Problem Definition · RTSS 1994 The Airplane Information Management System: an integrated real-time flight-deck control system · RTSS 1992 |
Cloud and datacenter computing › resource allocation › resource allocation policy
resource partitioning |
0.0 | 1 | 1994 | ARINC 659 Scheduling: Problem Definition · RTSS 1994 |
Methods — techniques the papers use, named apart from their topics
pre-scheduling · 0.0partitioning · 0.0table-driven bus protocol · 0.0resource allocation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Frankencode: Creating Diverse Programs Using Code ClonesabstractIn this paper, we present an approach to detecting novel cyber attacks though a form of program diversification, similar to the use of n-version programming for fault tolerant systems. Building on extensive previous and ongoing work by others on the use of code clones in a wide variety of areas, our Functionally Equivalent Variants using Information Synchronization (FEVIS) system automatically generates program variants to berun in parallel, seeking to detect attacks through divergence in behavior. Unlike approaches to diversification that only change program memory layout and behavior, FEVIS can detect attacks exploiting vulnerabilities in execution timing, string processing, and other logic errors. We are in the early stages of research and development for this approach, but have made sufficient progress to provide a proof of concept and some lessons learned. In this paper we describe FEVIS and its application to diversifying an open-source webserver, with results on several different example classes of attack which FEVIS will detect. Hayley Borck, Mark S. Boddy, Ian J. De Silva, Steven A. Harp, Ken Hoyme, Steven Johnston, August Schwerdfeger, Mary Southern |
SANER | 5 |
| 1994 | ARINC 659 Scheduling: Problem DefinitionabstractHoneywell is completing integration of the new Boeing 777 integrated Airplane Information Management System (AIMS). AIMS functions range from hard real-time to non-real-time, include flight-critical and non-essential functions, and must all reside on the same distributed multiprocessor system. This system, based on Aeronautical Radio Inc's ARINC 659 specification, allows for high resource utilization while providing strict partitioning and provable performance via pre-scheduling of processing and communication resources. Such scheduling presents significant theoretical and practical problems. This paper describes these scheduling requirements with the intent of providing the research community with practical bounds for problem definition.> Todd Carpenter, Kevin Driscoll 0001, Ken Hoyme, Jim Carciofini |
RTSS | 3 |
| 1992 | The Airplane Information Management System: an integrated real-time flight-deck control systemabstractHoneywell is completing design and will build hardware for the new Boeing 777 integrated Airplane Information Management System (AIMS). AIMS functions have time constraints from hard real-time to non-real-time, and criticality levels from flight critical to nonessential. The challenge is that these functions share time, memory, and input/output (I/O) on a redundant, distributed multiprocessor. An innovative offline scheduling tool and table driven bus protocol control data transfers and Ada process synchronization with verifiable resource allocation, latency control, and performance. > Kevin Driscoll 0001, Ken Hoyme |
RTSS | 2 |