Matches in SemOpenAlex for { <https://semopenalex.org/work/W2016042210> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2016042210 abstract "Environmental data arriving constantly from satellites and weather stations are used to compute weather coefficients that are essential for agriculture and viticulture. For example, the reference evapotranspiration (ET0) coefficient, overlaid on regional maps, is provided each day by the California Department of Water Resources to local farmers and turf managers to plan daily water use. Scaling out single-processor compute/data intensive applications operating on realtime data to support more users and higher-resolution data poses data engineering challenges. Cloud computing helps data providers expand resource capacity to meet growing needs besides supporting scientific needs like reprocessing historic data using new models. In this article, we examine migration of a legacy script used for daily ET <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>0</sub> computation by CIMIS to a workflow model that eases deployment to and scaling on the Windows Azure Cloud. Our architecture incorporates a direct streaming model into Cloud virtual machines (VMs) that improves the performance by 130% to 160% for our workflow over using Cloud storage for data staging, used commonly. The streaming workflows achieve runtimes comparable to desktop execution for single VMs and a linear speed-up when using multiple VMs, thus allowing computation of environmental coefficients at a much larger resolution than done presently." @default.
- W2016042210 created "2016-06-24" @default.
- W2016042210 creator A5032126784 @default.
- W2016042210 creator A5040274227 @default.
- W2016042210 creator A5041794289 @default.
- W2016042210 creator A5057600294 @default.
- W2016042210 date "2010-11-01" @default.
- W2016042210 modified "2023-09-26" @default.
- W2016042210 title "Streaming satellite data to cloud workflows for on-demand computing of environmental data products" @default.
- W2016042210 cites W1480875294 @default.
- W2016042210 cites W1548849615 @default.
- W2016042210 cites W1646696449 @default.
- W2016042210 cites W1974508523 @default.
- W2016042210 cites W2001306005 @default.
- W2016042210 cites W2010801412 @default.
- W2016042210 cites W2028817191 @default.
- W2016042210 cites W2037496036 @default.
- W2016042210 cites W2053571556 @default.
- W2016042210 cites W2080761795 @default.
- W2016042210 cites W2094271094 @default.
- W2016042210 cites W2104917438 @default.
- W2016042210 cites W2111895701 @default.
- W2016042210 cites W2124679016 @default.
- W2016042210 cites W2131629857 @default.
- W2016042210 cites W2135575903 @default.
- W2016042210 cites W2140919237 @default.
- W2016042210 cites W2145508367 @default.
- W2016042210 cites W2160210950 @default.
- W2016042210 cites W2162733761 @default.
- W2016042210 cites W2166821066 @default.
- W2016042210 cites W2172143128 @default.
- W2016042210 cites W2399869838 @default.
- W2016042210 cites W2565396912 @default.
- W2016042210 cites W2804826500 @default.
- W2016042210 doi "https://doi.org/10.1109/works.2010.5671841" @default.
- W2016042210 hasPublicationYear "2010" @default.
- W2016042210 type Work @default.
- W2016042210 sameAs 2016042210 @default.
- W2016042210 citedByCount "10" @default.
- W2016042210 countsByYear W20160422102012 @default.
- W2016042210 countsByYear W20160422102014 @default.
- W2016042210 countsByYear W20160422102015 @default.
- W2016042210 countsByYear W20160422102017 @default.
- W2016042210 crossrefType "proceedings-article" @default.
- W2016042210 hasAuthorship W2016042210A5032126784 @default.
- W2016042210 hasAuthorship W2016042210A5040274227 @default.
- W2016042210 hasAuthorship W2016042210A5041794289 @default.
- W2016042210 hasAuthorship W2016042210A5057600294 @default.
- W2016042210 hasConcept C111919701 @default.
- W2016042210 hasConcept C120314980 @default.
- W2016042210 hasConcept C177212765 @default.
- W2016042210 hasConcept C206345919 @default.
- W2016042210 hasConcept C31258907 @default.
- W2016042210 hasConcept C41008148 @default.
- W2016042210 hasConcept C48044578 @default.
- W2016042210 hasConcept C77088390 @default.
- W2016042210 hasConcept C79403827 @default.
- W2016042210 hasConcept C79974875 @default.
- W2016042210 hasConceptScore W2016042210C111919701 @default.
- W2016042210 hasConceptScore W2016042210C120314980 @default.
- W2016042210 hasConceptScore W2016042210C177212765 @default.
- W2016042210 hasConceptScore W2016042210C206345919 @default.
- W2016042210 hasConceptScore W2016042210C31258907 @default.
- W2016042210 hasConceptScore W2016042210C41008148 @default.
- W2016042210 hasConceptScore W2016042210C48044578 @default.
- W2016042210 hasConceptScore W2016042210C77088390 @default.
- W2016042210 hasConceptScore W2016042210C79403827 @default.
- W2016042210 hasConceptScore W2016042210C79974875 @default.
- W2016042210 hasLocation W20160422101 @default.
- W2016042210 hasOpenAccess W2016042210 @default.
- W2016042210 hasPrimaryLocation W20160422101 @default.
- W2016042210 hasRelatedWork W1130177354 @default.
- W2016042210 hasRelatedWork W1596010778 @default.
- W2016042210 hasRelatedWork W1596201972 @default.
- W2016042210 hasRelatedWork W1967954938 @default.
- W2016042210 hasRelatedWork W2364921833 @default.
- W2016042210 hasRelatedWork W2385146268 @default.
- W2016042210 hasRelatedWork W2743217578 @default.
- W2016042210 hasRelatedWork W2899407724 @default.
- W2016042210 hasRelatedWork W2963616097 @default.
- W2016042210 hasRelatedWork W4287635861 @default.
- W2016042210 isParatext "false" @default.
- W2016042210 isRetracted "false" @default.
- W2016042210 magId "2016042210" @default.
- W2016042210 workType "article" @default.