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035   $a(CKB)5720000000008380
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/84496
035   $a(EXLCZ)995720000000008380
100   $a20202206d2022      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aEdge Computing for Internet of Things
210   $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022
215   $a1 electronic resource (186 p.)
311   $a3-0365-4276-0 
311   $a3-0365-4275-2 
330   $aThe Internet-of-Things is becoming an established technology, with devices being deployed in homes, workplaces, and public areas at an increasingly rapid rate. IoT devices are the core technology of smart-homes, smart-cities, intelligent transport systems, and promise to optimise travel, reduce energy usage and improve quality of life. With the IoT prevalence, the problem of how to manage the vast volumes of data, wide variety and type of data generated, and erratic generation patterns is becoming increasingly clear and challenging. This Special Issue focuses on solving this problem through the use of edge computing. Edge computing offers a solution to managing IoT data through the processing of IoT data close to the location where the data is being generated. Edge computing allows computation to be performed locally, thus reducing the volume of data that needs to be transmitted to remote data centres and Cloud storage. It also allows decisions to be made locally without having to wait for Cloud servers to respond.
606   $aTechnology: general issues$2bicssc
606   $aHistory of engineering & technology$2bicssc
606   $aEnergy industries & utilities$2bicssc
610   $ahierarchical edge computing
610   $aWSN
610   $arapid response strategy
610   $aedge node
610   $afog access points
610   $acache memory
610   $aconvolutional neural network
610   $aproactive caching
610   $afog computing
610   $aInternet of Things
610   $aservice placement
610   $afog service orchestration
610   $aspectral classification
610   $aportable optical fiber spectrometers
610   $adew computing
610   $aedge computing
610   $asmartphone
610   $ajob scheduling
610   $ascheduling heuristics
610   $amobile edge computing
610   $amobile edge server placement
610   $amultiagent RL
610   $aedge security
610   $aoffloading computation
610   $adistributed collaboration
610   $adata processing
610   $adynamic offloading
610   $aIoT
610   $agateways
610   $aInternet of Things (IoT)
610   $afailure recovery
610   $aFP-Growth algorithm
610   $aassociation rules
610   $afrequency pattern analysis
610   $acomputational offloading
610   $aorchestration
610   $afunctional programming
615  7$aTechnology: general issues
615  7$aHistory of engineering & technology
615  7$aEnergy industries & utilities
700   $aLee$b Kevin$4edt$0390621
702   $aMan$b Ka Lok$4edt
702   $aLee$b Kevin$4oth
702   $aMan$b Ka Lok$4oth
906   $aBOOK
912   $a9910576879503321
996   $aEdge Computing for Internet of Things$93027017
997   $aUNINA