Häftad, Engelska, 2018
Data Deduplication for Data Optimization for Storage and Network Systems
Av Daehee Kim, Sejun Song, Baek-Young Choi
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Beskrivning
Produktinformation
- Utgivningsdatum: 2018-06-14
- Mått: 155 x 235 x 16 mm
- Vikt: 429 g
- Format: Häftad
- Språk: Engelska
- Antal sidor: 262
- Förlag: Springer International Publishing AG
- ISBN: 9783319825441
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Mer om författaren
Daehee Kim is an Assistant Professor in the Department of Computing and New Media Technologies at University of Wisconsin-Stevens Point. He received Ph.D from University of Missouri-Kansas City in 2015, and master degree from State University of New York in 2008. His research interests lie in the broad areas of storage and network including data deduplication, wireless sensor networks, networked storage system and network protocols, Big data transfer and analysis, and cloud and Internet application and deployments.Dr. Baek-Young Choi is an Associate Professor at the University of Missouri - Kansas City. She has been a fellow of the U.S. Air Force Research Laboratory’s Visiting Faculty Research Program (AFRL-VFRP), and Korea Telecom - Advance Institute of Technology (KT-AIT). She co-authored the book, ‘Scalable Network Monitoring in High Speed Networks’, and co-edited the book, ‘High Performance Cloud Auditing and Applications‘. She is an Associate Editor of Springer Journal of Telecommunication Systems, and has served on the editorial board of the Elsevier Journal of Computer Networks. She is a senior member of ACM and IEEE, and a member of IEEE Women in Engineering. Dr. Sejun Song is an Associate Professor in the Department of Computer Science Electrical Engineering at University of Missouri – Kansas City. He directs the Trustworthy Systems and Software Research Lab. Prior to academia, he worked for Cisco Systems and Honeywell Research Lab. Dr. Daehee Kim is an Assistant Professor at the University of Wisconsin, Stevens Point.
Recensioner i media
“I learned a lot from this book and can recommend it to anyone who believes that his company may benefit from the introduction of storage and/or network deduplication mechanisms.” (G. K. Jenkins, Computing Reviews, April, 2017)
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