LEADER 01478nam 2200397 a 450 001 9910701347103321 005 20120216105120.0 035 $a(CKB)5470000002417597 035 $a(OCoLC)777006260 035 $a(EXLCZ)995470000002417597 100 $a20120216d2011 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aU.S. Geological Survey community for data integration$b[electronic resource] $eNWIS Web Services Snapshot Tool for ArcGIS /$f[authored by Sally Holl] 210 1$a[Reston, Va.] :$cU.S. Dept. of the Interior, U.S. Geological Survey,$d[2011] 215 $a1 online resource (2 unnumbered pages) $ccolor illustrations, color maps 225 1 $aFact sheet ;$v2011-3141 300 $aTitle from title screen (viewed on Feb. 16, 2012). 300 $a"November 2011." 320 $aIncludes bibliographical references (page [2]). 517 $aU.S. Geological Survey community for data integration 606 $aHydrology$xData processing 606 $aData integration (Computer science) 615 0$aHydrology$xData processing. 615 0$aData integration (Computer science) 700 $aHoll$b Sally$01416388 712 02$aGeological Survey (U.S.) 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910701347103321 996 $aU.S. Geological Survey community for data integration$93521562 997 $aUNINA LEADER 04222nam 22006015 450 001 9910149461703321 005 20200705231405.0 024 7 $a10.1007/978-3-319-47340-6 035 $a(CKB)3710000000928187 035 $a(DE-He213)978-3-319-47340-6 035 $a(MiAaPQ)EBC4731364 035 $a(PPN)197139663 035 $a(EXLCZ)993710000000928187 100 $a20161101d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTraffic Measurement for Big Network Data /$fby Shigang Chen, Min Chen, Qingjun Xiao 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (VII, 104 p. 45 illus., 2 illus. in color.) 225 1 $aWireless Networks,$x2366-1186 311 $a3-319-47339-5 311 $a3-319-47340-9 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- Per-Flow Size Measurement -- Per-Flow Cardinality Measurement -- Persistent Spread Measurement. 330 $aThis book presents several compact and fast methods for online traffic measurement of big network data. It describes challenges of online traffic measurement, discusses the state of the field, and provides an overview of the potential solutions to major problems. The authors introduce the problem of per-flow size measurement for big network data and present a fast and scalable counter architecture, called Counter Tree, which leverages a two-dimensional counter sharing scheme to achieve far better memory efficiency and significantly extend estimation range. Unlike traditional approaches to cardinality estimation problems that allocate a separated data structure (called estimator) for each flow, this book takes a different design path by viewing all the flows together as a whole: each flow is allocated with a virtual estimator, and these virtual estimators share a common memory space. A framework of virtual estimators is designed to apply the idea of sharing to an array of cardinality estimation solutions, achieving far better memory efficiency than the best existing work. To conclude, the authors discuss persistent spread estimation in high-speed networks. They offer a compact data structure called multi-virtual bitmap, which can estimate the cardinality of the intersection of an arbitrary number of sets. Using multi-virtual bitmaps, an implementation that can deliver high estimation accuracy under a very tight memory space is presented. The results of these experiments will surprise both professionals in the field and advanced-level students interested in the topic. By providing both an overview and the results of specific experiments, this book is useful for those new to online traffic measurement and experts on the topic. 410 0$aWireless Networks,$x2366-1186 606 $aElectrical engineering 606 $aComputer communication systems 606 $aApplication software 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 615 0$aElectrical engineering. 615 0$aComputer communication systems. 615 0$aApplication software. 615 14$aCommunications Engineering, Networks. 615 24$aComputer Communication Networks. 615 24$aInformation Systems Applications (incl. Internet). 676 $a004.6 700 $aChen$b Shigang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0867170 702 $aChen$b Min$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aXiao$b Qingjun$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910149461703321 996 $aTraffic Measurement for Big Network Data$91935486 997 $aUNINA