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Krishnamurthi Kannan

dblp:21/3863 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1979
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 1 first-authorSoftware engineering, systems software and programming languages · 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
2 papers
Storage systems · 51% Hardware accelerators and domain-specific architectures · 32% Memory systems · 17%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware accelerators and domain-specific architectures › database accelerator
database machine
0.021979
DBC - A Database Computer for Very Large Databases · IEEE Trans. Computers 1979
The Design of a Mass Memory for a Database Computer · ISCA 1978
Memory systems
content-addressable memory
0.011979
DBC - A Database Computer for Very Large Databases · IEEE Trans. Computers 1979
Storage systems
content-addressable storage
0.011979
DBC - A Database Computer for Very Large Databases · IEEE Trans. Computers 1979
Storage systems › magnetic storage
disk storage
0.011978
The Design of a Mass Memory for a Database Computer · ISCA 1978
Storage systems › storage architecture
mass storage system
0.011978
The Design of a Mass Memory for a Database Computer · ISCA 1978

Methods — techniques the papers use, named apart from their topics

trace-driven simulation · 0.0on-the-fly processing · 0.0moving-head disk · 0.0
YearPublicationVenuePosition
1979 DBC - A Database Computer for Very Large Databases
abstract
Design considerations of a database computer are presented in this paper. The overall architecture of the computer as well as the organization of its individual components are discussed. Several key concepts which are vital to database management are incorporated in the design and organization of the components. The concepts of tracks-in-parallel read-out and logic-per-some-track processing are provided in an on-line database store for the purpose of achieving high-volume content-addressability. The use of auxiliary information about the database for access precision and control has resulted in the design of a structure memory, an array of content-addressable memory and processor pairs, for large collections of indices. The choice of technologies for the implementation of these components is considered in terms of their cost and performance. Modified moving-head disk technology is chosen in order to support the very large on-line database store. Emerging technologies such as magnetic bubbles and CCD's are chosen for the structure memory on the basis of their matching performance with the on-line database store and their capability for parallel-in-blocks-and-serial-within-block processing. Five other important components are also disdissed in the paper. Their role in the database computer and relationship with the structure memory and on-line database store are delineated.
Jayanta Banerjee, David K. Hsiao, Krishnamurthi Kannan
IEEE Trans. Computers3
1978 The Design of a Mass Memory for a Database Computer
abstract
The design of a mass memory for a database computer (DBC) is described. The DBC, a specialized back-end computer, is capable of managing 10**9 to 10**10 bytes of data and can support multiple data models with minimal software in the front-end computer. The design is based on moving-head disk technology which is perceived to be the most cost-effective technology for supporting such large volumes of on-line data. The design calls for certain key modifications in existing modes of disk component usage in an effort to incorporate a high degree of intelligence in the device and to enhance its throughput. These modifications pertain to activating concurrently all of the read/write heads available on an access mechanism and to the processing of data on-the-fly by associating a processing element with each read/write head.
Krishnamurthi Kannan
ISCA1