Matches in SemOpenAlex for { <https://semopenalex.org/work/W2888411331> ?p ?o ?g. }
- W2888411331 abstract "The incredible increase in the volume of data emerging along with recent technological developments has made the analysis processes which use traditional approaches more difficult for many organizations. Especially applications involving subjects that require timely processing and big data such as satellite imagery, sensor data, bank operations, web servers, and social networks require efficient mechanisms for collecting, storing, processing, and analyzing these data. At this point, big data analytics, which contains data mining, machine learning, statistics, and similar techniques, comes to the help of organizations for end-to-end managing of the data. In this chapter, we introduce a novel high-performance computing system on the geo-distributed private cloud for remote sensing applications, which takes advantages of network topology, exploits utilization and workloads of CPU, storage, and memory resources in a distributed fashion, and optimizes resource allocation for realizing big data analytics efficiently." @default.
- W2888411331 created "2018-08-31" @default.
- W2888411331 creator A5059098348 @default.
- W2888411331 creator A5088591974 @default.
- W2888411331 date "2018-08-22" @default.
- W2888411331 modified "2023-09-25" @default.
- W2888411331 title "Performance-Aware High-Performance Computing for Remote Sensing Big Data Analytics" @default.
- W2888411331 cites W1513392726 @default.
- W2888411331 cites W1560700853 @default.
- W2888411331 cites W1830303235 @default.
- W2888411331 cites W1970012419 @default.
- W2888411331 cites W1970225139 @default.
- W2888411331 cites W1973747955 @default.
- W2888411331 cites W1977046764 @default.
- W2888411331 cites W1978881728 @default.
- W2888411331 cites W1980129283 @default.
- W2888411331 cites W1991179817 @default.
- W2888411331 cites W1996856680 @default.
- W2888411331 cites W2010431739 @default.
- W2888411331 cites W2013326020 @default.
- W2888411331 cites W2016644427 @default.
- W2888411331 cites W2021415354 @default.
- W2888411331 cites W2024195151 @default.
- W2888411331 cites W2024501873 @default.
- W2888411331 cites W2027984856 @default.
- W2888411331 cites W2033384503 @default.
- W2888411331 cites W2036891561 @default.
- W2888411331 cites W2043880518 @default.
- W2888411331 cites W2048419331 @default.
- W2888411331 cites W2070558975 @default.
- W2888411331 cites W2071839720 @default.
- W2888411331 cites W2081894886 @default.
- W2888411331 cites W2095323084 @default.
- W2888411331 cites W2095483845 @default.
- W2888411331 cites W2095687521 @default.
- W2888411331 cites W2109574129 @default.
- W2888411331 cites W2115583184 @default.
- W2888411331 cites W2124256298 @default.
- W2888411331 cites W2149140091 @default.
- W2888411331 cites W2149464398 @default.
- W2888411331 cites W2159588611 @default.
- W2888411331 cites W2167583754 @default.
- W2888411331 cites W2231885833 @default.
- W2888411331 cites W2243326906 @default.
- W2888411331 cites W2244992359 @default.
- W2888411331 cites W2340114963 @default.
- W2888411331 cites W2341925889 @default.
- W2888411331 cites W2472421719 @default.
- W2888411331 cites W2527514331 @default.
- W2888411331 cites W2534983812 @default.
- W2888411331 cites W253837944 @default.
- W2888411331 cites W2724189912 @default.
- W2888411331 cites W937729739 @default.
- W2888411331 cites W2032175310 @default.
- W2888411331 doi "https://doi.org/10.5772/intechopen.75934" @default.
- W2888411331 hasPublicationYear "2018" @default.
- W2888411331 type Work @default.
- W2888411331 sameAs 2888411331 @default.
- W2888411331 citedByCount "2" @default.
- W2888411331 countsByYear W28884113312021 @default.
- W2888411331 crossrefType "book-chapter" @default.
- W2888411331 hasAuthorship W2888411331A5059098348 @default.
- W2888411331 hasAuthorship W2888411331A5088591974 @default.
- W2888411331 hasBestOaLocation W28884113311 @default.
- W2888411331 hasConcept C111919701 @default.
- W2888411331 hasConcept C120314980 @default.
- W2888411331 hasConcept C121332964 @default.
- W2888411331 hasConcept C124101348 @default.
- W2888411331 hasConcept C136764020 @default.
- W2888411331 hasConcept C165696696 @default.
- W2888411331 hasConcept C175801342 @default.
- W2888411331 hasConcept C20556612 @default.
- W2888411331 hasConcept C206345919 @default.
- W2888411331 hasConcept C2522767166 @default.
- W2888411331 hasConcept C31258907 @default.
- W2888411331 hasConcept C38652104 @default.
- W2888411331 hasConcept C41008148 @default.
- W2888411331 hasConcept C62520636 @default.
- W2888411331 hasConcept C75684735 @default.
- W2888411331 hasConcept C79158427 @default.
- W2888411331 hasConcept C79974875 @default.
- W2888411331 hasConcept C93996380 @default.
- W2888411331 hasConceptScore W2888411331C111919701 @default.
- W2888411331 hasConceptScore W2888411331C120314980 @default.
- W2888411331 hasConceptScore W2888411331C121332964 @default.
- W2888411331 hasConceptScore W2888411331C124101348 @default.
- W2888411331 hasConceptScore W2888411331C136764020 @default.
- W2888411331 hasConceptScore W2888411331C165696696 @default.
- W2888411331 hasConceptScore W2888411331C175801342 @default.
- W2888411331 hasConceptScore W2888411331C20556612 @default.
- W2888411331 hasConceptScore W2888411331C206345919 @default.
- W2888411331 hasConceptScore W2888411331C2522767166 @default.
- W2888411331 hasConceptScore W2888411331C31258907 @default.
- W2888411331 hasConceptScore W2888411331C38652104 @default.
- W2888411331 hasConceptScore W2888411331C41008148 @default.
- W2888411331 hasConceptScore W2888411331C62520636 @default.
- W2888411331 hasConceptScore W2888411331C75684735 @default.
- W2888411331 hasConceptScore W2888411331C79158427 @default.
- W2888411331 hasConceptScore W2888411331C79974875 @default.
- W2888411331 hasConceptScore W2888411331C93996380 @default.