2013 IEEE 6th International Conference on Service-Oriented Computing and Applications 2013
DOI: 10.1109/soca.2013.49
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An Indexing Network Model for Information Services and Its Applications

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Cited by 4 publications
(3 citation statements)
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“…Through parallelization, its computiational time is drastically reduced to achieve the comparable speed as the best singlemodel QoS estimators. In the future work, we plan to apply the idea of EAMFM to other big data-related areas, including complex network analysis [41][42][43] and bioinformatics [42,44].…”
Section: Discussionmentioning
confidence: 99%
“…Through parallelization, its computiational time is drastically reduced to achieve the comparable speed as the best singlemodel QoS estimators. In the future work, we plan to apply the idea of EAMFM to other big data-related areas, including complex network analysis [41][42][43] and bioinformatics [42,44].…”
Section: Discussionmentioning
confidence: 99%
“…Skeirik et al [8] focused on security services and group key management in the cloud and used ZooKeeper's logic model to bolster anti-spam and anti-virus activities. In [10], the importance of the organization and management for the service is addressed. However, the ZooKeeper is mainly used in the cloud distributed systems to support the valuable search related services.…”
Section: Related Workmentioning
confidence: 99%
“…Thus, it is very challenging to establish the needed service resources. To this end, we previously conducted an in-depth research in the field of Web hyperlink analysis, that objectively correlated hyperlinks between pages to real-world relationships, and proposed an indexing network model based on webpage classification and hyperlinks analysis [18], thus defining its algebraic operations. This indexing network support access to service resources according to specific requirements, as well as looking for semantic associations, can produce a wealth of knowledge and valuable information services.…”
Section: Network Information Service Platformmentioning
confidence: 99%