Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Autonomic Clustering of Distributed Agents

Autonomic Clustering of Distributed Agents

Ogston, Elizabeth

Paperback

Series: Autonomic Systems

General ComputersNetworking

Currently unavailable to order

ISBN10: 376439966X
ISBN13: 9783764399665
Publisher: Springer Nature
Published: Jan 28 2014
Pages: 160
Language: English
A central principle in the design of large-scale distributed systems is that components should be organized to place those that interact frequently close together. This is essentially a basic clustering problem, but the context creates new challenges. Traditional clustering algorithms are designed to work on relatively simple units of information stored in a centralized database. This work explores the consequences of clustering autonomous entities, each with individual, possibly different, criteria defining similarity and cluster composition requirements. In this setting clustering is transformed from being mainly a catagorization task, into a problem of discovering similarity criteria and classification categories. Original research results define a general model of decentralized clustering of autonomous entities, and present simulations investigating key process, from matchmaking, to catagorization, to learning behaviors needed for adaptive cluster discovery.

Also in

General Computers

View All