Resilient state management in large scale networks

Yangcheng Huang; Saleem N. Bhatti

Resilient state management in large scale networks

Yangcheng Huang^*, Saleem N. Bhatti

^*Corresponding author for this work

School of Computer Science

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper describes, briefly, ongoing research on resource reservation state management, including research motivations and initial design.

Original language	English
Pages	356-358
Number of pages	3
Publication status	Published - 17 Oct 2005
Event	13th International Workshop on Qualityof Service - IWQoS 2005 - Passau, Germany Duration: 21 Jun 2005 → 23 Jun 2005

Conference

Conference	13th International Workshop on Qualityof Service - IWQoS 2005
Country/Territory	Germany
City	Passau
Period	21/06/05 → 23/06/05

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@conference{f9ba55753bfe4e4f84b1f72ee87206ad,

title = "Resilient state management in large scale networks",

abstract = "This paper describes, briefly, ongoing research on resource reservation state management, including research motivations and initial design.",

author = "Yangcheng Huang and Bhatti, \{Saleem N.\}",

year = "2005",

month = oct,

day = "17",

language = "English",

pages = "356--358",

note = "13th International Workshop on Qualityof Service - IWQoS 2005 ; Conference date: 21-06-2005 Through 23-06-2005",

}

TY - CONF

T1 - Resilient state management in large scale networks

AU - Huang, Yangcheng

AU - Bhatti, Saleem N.

PY - 2005/10/17

Y1 - 2005/10/17

N2 - This paper describes, briefly, ongoing research on resource reservation state management, including research motivations and initial design.

AB - This paper describes, briefly, ongoing research on resource reservation state management, including research motivations and initial design.

UR - https://www.scopus.com/pages/publications/26444446906

M3 - Paper

AN - SCOPUS:26444446906

SP - 356

EP - 358

T2 - 13th International Workshop on Qualityof Service - IWQoS 2005

Y2 - 21 June 2005 through 23 June 2005

ER -

Resilient state management in large scale networks

Abstract

Conference

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