When Deep Learning Meets Inter-Datacenter Optical Network Management: Advantages and Vulnerabilities
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Lightwave Technology"
DOI: 10.1109/jlt.2018.2864676
Abstract: To realize cost-effective and adaptive network control and management (NC&M) on inter-datacenter optical networks (IDCONs), people have considered network virtualization to let the operator of an IDCON work as an infrastructure provider (InP), which can… read more here.
Keywords: traffic; von; network; datacenter optical ... See more keywords
Inter-Datacenter Scheduling of Large Data Flows
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2015.2487964
Abstract: Inter-datacenter transfers of non-interactive but timely large flows over a private (managed) network is an important problem faced by many cloud service providers. The considered flows are non-interactive because they do not explicitly target the… read more here.
Keywords: large data; inter datacenter; datacenter; datacenter scheduling ... See more keywords
An Online Cost-Efficient Transmission Scheme for Information-Agnostic Traffic in Inter-Datacenter Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2019.2941688
Abstract: In the era of cloud computing, network services are deployed on geographically distributed cloud platforms, which results in a large amount of inter-datacenter traffic. Multi-tier pricing schemes are widely adopted by cloud service providers (CSPs)… read more here.
Keywords: inter datacenter; cloud; cost; transmission ... See more keywords
Optimizing Network Transfers for Data Analytic Jobs Across Geo-Distributed Datacenters
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2021.3093232
Abstract: It has become a recent trend that large volumes of data are generated, stored, and processed across geographically distributed datacenters. When popular data parallel frameworks, such as MapReduce and Spark, are employed to process such… read more here.
Keywords: network; geo distributed; distributed datacenters; data analytic ... See more keywords