Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/39482
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTian, H.-
dc.contributor.authorShen, H.-
dc.contributor.editorGonzalez, T.-
dc.date.issued2007-
dc.identifier.citationHandbook of Approximation Alggorithms and Metaheuristics, 2007 / Gonzalez, T. (ed./s), pp.69-1-69-14-
dc.identifier.isbn1584885505-
dc.identifier.isbn9781584885504-
dc.identifier.urihttp://hdl.handle.net/2440/39482-
dc.description.abstractAs networks continue to grow explosively both in size and internal complexity, the ever increasing tremendous traffic load and applications drive researchers to develop techniques for analyzing network performance and managing network resources for optimal usage. All these tasks require that end-systems know the internal network characteristics. Discovery of internal information such as topology and localized lossy links plays an important role in resource management, loss recovery, and congestion control [1–3]. As a result of this different techniques have been developed to identify the internal characteristics of networks.-
dc.description.statementofresponsibilityHui Tian and Hong Shen-
dc.description.urihttp://www.crcpress.com/shopping_cart/products/product_detail.asp?id=&parent_id=&sku=&isbn=1584885505&pc=-
dc.language.isoen-
dc.publisherTaylor & Francis-
dc.relation.ispartofseriesChapman & Hall/CRC Computer & Information Science Series ; 13-
dc.titleMulticast topology inference and its application-
dc.typeBook chapter-
dc.identifier.doi10.1201/9781420010749-
dc.publisher.placeRoca Raton, FL-
pubs.publication-statusPublished-
dc.identifier.orcidShen, H. [0000-0002-3663-6591] [0000-0003-0649-0648]-
Appears in Collections:Aurora harvest
Computer Science publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.