ProMo - A scalable and efficient framework for online data delivery

Haggai Roitman; Avigdor Gal; Louiqa Raschid

doi:10.1007/11780991_38

ProMo - A scalable and efficient framework for online data delivery

Haggai Roitman, Avigdor Gal, Louiqa Raschid

Data and Decision Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Next Generation Information Technologies and Systems - 6th International Conference, NGITS 2006, Proceedings
Pages	359-360
Number of pages	2
DOIs	https://doi.org/10.1007/11780991_38
State	Published - 2006
Event	6th International Conference on Next Generation Information Technologies and Systems, NGITS 2006 - Kibbutz Shefayim, Israel Duration: 4 Jul 2006 → 6 Jul 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4032 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference on Next Generation Information Technologies and Systems, NGITS 2006
Country/Territory	Israel
City	Kibbutz Shefayim
Period	4/07/06 → 6/07/06

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/11780991_38

Cite this

Roitman, H., Gal, A., & Raschid, L. (2006). ProMo - A scalable and efficient framework for online data delivery. In Next Generation Information Technologies and Systems - 6th International Conference, NGITS 2006, Proceedings (pp. 359-360). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4032 LNCS). https://doi.org/10.1007/11780991_38

Roitman, Haggai ; Gal, Avigdor ; Raschid, Louiqa. / ProMo - A scalable and efficient framework for online data delivery. Next Generation Information Technologies and Systems - 6th International Conference, NGITS 2006, Proceedings. 2006. pp. 359-360 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "ProMo - A scalable and efficient framework for online data delivery",

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

year = "2006",

doi = "10.1007/11780991_38",

language = "אנגלית",

isbn = "3540354727",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "359--360",

booktitle = "Next Generation Information Technologies and Systems - 6th International Conference, NGITS 2006, Proceedings",

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Roitman, H, Gal, A & Raschid, L 2006, ProMo - A scalable and efficient framework for online data delivery. in Next Generation Information Technologies and Systems - 6th International Conference, NGITS 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4032 LNCS, pp. 359-360, 6th International Conference on Next Generation Information Technologies and Systems, NGITS 2006, Kibbutz Shefayim, Israel, 4/07/06. https://doi.org/10.1007/11780991_38

ProMo - A scalable and efficient framework for online data delivery. / Roitman, Haggai; Gal, Avigdor; Raschid, Louiqa.
Next Generation Information Technologies and Systems - 6th International Conference, NGITS 2006, Proceedings. 2006. p. 359-360 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4032 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Roitman H, Gal A, Raschid L. ProMo - A scalable and efficient framework for online data delivery. In Next Generation Information Technologies and Systems - 6th International Conference, NGITS 2006, Proceedings. 2006. p. 359-360. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11780991_38

ProMo - A scalable and efficient framework for online data delivery

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ASJC Scopus subject areas

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