Profile-based online data delivery

Haggai Roitman; Avigdor Gal; Louiqa Raschid

Profile-based online data delivery

Haggai Roitman
, Avigdor Gal
, Louiqa Raschid

Research output: Contribution to journal › Conference article › peer-review

Abstract

This research is aimed at providing theoretically rigorous, flexible, efficient, and scalable methodologies for intelligent delivery of data in a dynamic and resource constrained environment. Our proposed solution utilizes a uniform client and server profilization for data delivery and describe the challenges in developing optimized hybrid data delivery schedules. We also present an approach that aims at constructing automatic adaptive policies for data delivery to overcome various modeling errors utilizing feedback.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	170
State	Published - 1 Dec 2006
Externally published	Yes
Event	VLDB 2006 Ph.D. Workshop - 32nd International Conference on Very Large Data Bases - Seoul, Korea, Republic of Duration: 11 Sep 2006 → 11 Sep 2006

ASJC Scopus subject areas

General Computer Science

Cite this

@article{33b5bf30b77a47fbb30f2eda44ffa600,

title = "Profile-based online data delivery",

abstract = "This research is aimed at providing theoretically rigorous, flexible, efficient, and scalable methodologies for intelligent delivery of data in a dynamic and resource constrained environment. Our proposed solution utilizes a uniform client and server profilization for data delivery and describe the challenges in developing optimized hybrid data delivery schedules. We also present an approach that aims at constructing automatic adaptive policies for data delivery to overcome various modeling errors utilizing feedback.",

author = "Haggai Roitman and Avigdor Gal and Louiqa Raschid",

year = "2006",

month = dec,

day = "1",

language = "English",

volume = "170",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

note = "VLDB 2006 Ph.D. Workshop - 32nd International Conference on Very Large Data Bases ; Conference date: 11-09-2006 Through 11-09-2006",

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TY - JOUR

T1 - Profile-based online data delivery

AU - Roitman, Haggai

AU - Gal, Avigdor

AU - Raschid, Louiqa

PY - 2006/12/1

Y1 - 2006/12/1

N2 - This research is aimed at providing theoretically rigorous, flexible, efficient, and scalable methodologies for intelligent delivery of data in a dynamic and resource constrained environment. Our proposed solution utilizes a uniform client and server profilization for data delivery and describe the challenges in developing optimized hybrid data delivery schedules. We also present an approach that aims at constructing automatic adaptive policies for data delivery to overcome various modeling errors utilizing feedback.

AB - This research is aimed at providing theoretically rigorous, flexible, efficient, and scalable methodologies for intelligent delivery of data in a dynamic and resource constrained environment. Our proposed solution utilizes a uniform client and server profilization for data delivery and describe the challenges in developing optimized hybrid data delivery schedules. We also present an approach that aims at constructing automatic adaptive policies for data delivery to overcome various modeling errors utilizing feedback.

UR - https://www.scopus.com/pages/publications/84884339895

M3 - Conference article

AN - SCOPUS:84884339895

SN - 1613-0073

VL - 170

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - VLDB 2006 Ph.D. Workshop - 32nd International Conference on Very Large Data Bases

Y2 - 11 September 2006 through 11 September 2006

ER -

Profile-based online data delivery

Abstract

ASJC Scopus subject areas

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