Demo Data from EDBT 2026 / reviewers in the wild / expert
Kestutis Ivinskis
dblp:60/5497
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1995
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 first-author
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 |
Distributed systems · 56% Cloud and datacenter computing · 44% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems
fault tolerance |
0.0 | 1 | 1995 | High Availability of Commercial Applications · SIGMOD Conference 1995 |
Distributed systems › fault tolerance
high availability |
0.0 | 1 | 1995 | High Availability of Commercial Applications · SIGMOD Conference 1995 |
Cloud and datacenter computing › resource management
workload management |
0.0 | 1 | 1995 | High Availability of Commercial Applications · SIGMOD Conference 1995 |
Cloud and datacenter computing
workload shifting |
0.0 | 1 | 1995 | High Availability of Commercial Applications · SIGMOD Conference 1995 |
Distributed systems › distributed system architecture
client-server systems |
0.0 | 1 | 1995 | High Availability of Commercial Applications · SIGMOD Conference 1995 |
Distributed systems › distributed system architecture
multi-tier architecture |
0.0 | 1 | 1995 | High Availability of Commercial Applications · SIGMOD Conference 1995 |
Methods — techniques the papers use, named apart from their topics
workload balancing · 0.0replication · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | High Availability of Commercial ApplicationsabstractThe increased performance capabilities of UNIX server systems have led to their acceptance as the server of choice for medium-sized and large organizations. But performance is just one facet. Another facet is the end user perception of the availability of an information system.Traditional mainframe based IS shops have a long experience in supplying computing services to their commercial end users. The ultimate goal of the end user is to have no downtimes for his work at his PC or workstation terminal. Key issues related to system availability in client/server based information systems remain the same as in the mainframe based world, e.g. system responsiveness, maximum downtime per year and maximum number of system outages per year. But there are also new aspects, which have been introduced into the discussion.In a multi-tiered client/server based information system the OLTP workload is distributed on different servers. Hence one can ask: Why should a failure of one server automatically imply downtime for the whole system ? Can't most of the system continue to operate ? Redistribution of the workload on the remaining active servers can be used to attack this problem. Workload balancing can be applied for replicated system services. Other techniques have to be applied for non-replicated system services.This paper considers client/server based applications running in a local or wide area network of computers in a distributed system. Kestutis Ivinskis |
SIGMOD Conference | 1 |