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Proceedings of the third workshop on Hot topics in software defined networking, 2014
Software-Defined Networking (SDN) enables flexible flow control by caching policy rules at OpenFlow switches. Compared with exact-match rule caching, wildcard rule caching can better preserve the flow table space at switches. However, one of the challenges for wildcard rule caching is the dependency between rules, which is generated by caching wildcard
Bo Yan +4 more
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Software-Defined Networking (SDN) enables flexible flow control by caching policy rules at OpenFlow switches. Compared with exact-match rule caching, wildcard rule caching can better preserve the flow table space at switches. However, one of the challenges for wildcard rule caching is the dependency between rules, which is generated by caching wildcard
Bo Yan +4 more
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Nature, 2007
Short-term appointments are on the rise for teachers at colleges and universities around the world. Are these 'contingent' staff being taken for a ride? Heidi Ledford reports.
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Short-term appointments are on the rise for teachers at colleges and universities around the world. Are these 'contingent' staff being taken for a ride? Heidi Ledford reports.
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Indian Institute of Management Ahmedabad, 2014
The market share of Chartered Cabs is affected by new entrants in Ahmedabad. In addition, their operational costs are soaring due to excessive dry run costs. Due to immense competition, Chartered needs to focus on high service quality delivery and also minimize its operational costs.
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The market share of Chartered Cabs is affected by new entrants in Ahmedabad. In addition, their operational costs are soaring due to excessive dry run costs. Due to immense competition, Chartered needs to focus on high service quality delivery and also minimize its operational costs.
openaire +2 more sources
Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2019
Finding clusters in a network has been practically important in many applications and was studied by many researchers. Most commonly used methods are spectral clustering and Newman's modularity maximization. However, there has been no unified view of them.
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Finding clusters in a network has been practically important in many applications and was studied by many researchers. Most commonly used methods are spectral clustering and Newman's modularity maximization. However, there has been no unified view of them.
openaire +1 more source