Matches in SemOpenAlex for { <https://semopenalex.org/work/W2895080059> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2895080059 endingPage "154" @default.
- W2895080059 startingPage "137" @default.
- W2895080059 abstract "Mobile and ubiquitous devices are everywhere, generating an exorbitant amount of data. New generations of healthcare systems are using mobile devices to continuously collect large amounts of different types of data from patients with chronic diseases. The challenge with such Mobile Big Data in general, is how to meet the growing performance demands of the mobile resources handling these tasks, while simultaneously minimizing their consumption. This research proposes a scalable architecture for processing Mobile Big Data. The architecture is developed around three new algorithms for the effective use of resources in performing mobile data processing and analytics: mobile resources optimization, mobile analytics customization, and mobile offloading. The mobile resources optimization algorithm monitors resources and automatically switches off unused network connections and application services whenever resources are limited. The mobile analytics customization algorithm attempts to save energy by customizing the analytics processes through the implementation of some data-aware schemes. Finally, the mobile offloading algorithm uses some heuristics to intelligently decide whether to process data locally, or delegate it to a cloud back-end server. The three algorithms mentioned above are tested using Android-based mobile devices on real Electroencephalography (EEG) data streams retrieved from sensors and an online data bank. Results show that the three combined algorithms proved their effectiveness in optimizing the resources of mobile devices in handling, processing, and analyzing EEG data. We developed an energy-efficient model for Mobile Big Data which addressed key limitations in mobile device processing and analytics and reduced execution time and limited battery resources. This was supported with the development of three new algorithms for the effective use of resources, energy saving, parallel processing and analytics customization." @default.
- W2895080059 created "2018-10-12" @default.
- W2895080059 creator A5004683453 @default.
- W2895080059 creator A5022074764 @default.
- W2895080059 creator A5022201145 @default.
- W2895080059 creator A5082296670 @default.
- W2895080059 date "2018-11-01" @default.
- W2895080059 modified "2023-10-14" @default.
- W2895080059 title "Towards an efficient and Energy-Aware mobile big health data architecture" @default.
- W2895080059 cites W2010861316 @default.
- W2895080059 cites W2031577538 @default.
- W2895080059 cites W2033749751 @default.
- W2895080059 cites W2051983891 @default.
- W2895080059 cites W2086574394 @default.
- W2895080059 cites W2135099885 @default.
- W2895080059 cites W2140579839 @default.
- W2895080059 cites W2149294210 @default.
- W2895080059 cites W2174660136 @default.
- W2895080059 cites W2179949714 @default.
- W2895080059 cites W2180470121 @default.
- W2895080059 cites W2285924575 @default.
- W2895080059 cites W2293066912 @default.
- W2895080059 cites W2417775211 @default.
- W2895080059 cites W2505123089 @default.
- W2895080059 cites W2520229482 @default.
- W2895080059 cites W2586658967 @default.
- W2895080059 cites W2794941961 @default.
- W2895080059 cites W2804309702 @default.
- W2895080059 cites W2806542347 @default.
- W2895080059 cites W3142067920 @default.
- W2895080059 cites W60808401 @default.
- W2895080059 doi "https://doi.org/10.1016/j.cmpb.2018.10.008" @default.
- W2895080059 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30415713" @default.
- W2895080059 hasPublicationYear "2018" @default.
- W2895080059 type Work @default.
- W2895080059 sameAs 2895080059 @default.
- W2895080059 citedByCount "15" @default.
- W2895080059 countsByYear W28950800592019 @default.
- W2895080059 countsByYear W28950800592020 @default.
- W2895080059 countsByYear W28950800592021 @default.
- W2895080059 countsByYear W28950800592023 @default.
- W2895080059 crossrefType "journal-article" @default.
- W2895080059 hasAuthorship W2895080059A5004683453 @default.
- W2895080059 hasAuthorship W2895080059A5022074764 @default.
- W2895080059 hasAuthorship W2895080059A5022201145 @default.
- W2895080059 hasAuthorship W2895080059A5082296670 @default.
- W2895080059 hasConcept C111919701 @default.
- W2895080059 hasConcept C120314980 @default.
- W2895080059 hasConcept C127353759 @default.
- W2895080059 hasConcept C144543869 @default.
- W2895080059 hasConcept C186967261 @default.
- W2895080059 hasConcept C207029474 @default.
- W2895080059 hasConcept C2779191767 @default.
- W2895080059 hasConcept C31258907 @default.
- W2895080059 hasConcept C41008148 @default.
- W2895080059 hasConcept C516764902 @default.
- W2895080059 hasConcept C60952562 @default.
- W2895080059 hasConcept C68649174 @default.
- W2895080059 hasConcept C75684735 @default.
- W2895080059 hasConcept C77088390 @default.
- W2895080059 hasConcept C79158427 @default.
- W2895080059 hasConceptScore W2895080059C111919701 @default.
- W2895080059 hasConceptScore W2895080059C120314980 @default.
- W2895080059 hasConceptScore W2895080059C127353759 @default.
- W2895080059 hasConceptScore W2895080059C144543869 @default.
- W2895080059 hasConceptScore W2895080059C186967261 @default.
- W2895080059 hasConceptScore W2895080059C207029474 @default.
- W2895080059 hasConceptScore W2895080059C2779191767 @default.
- W2895080059 hasConceptScore W2895080059C31258907 @default.
- W2895080059 hasConceptScore W2895080059C41008148 @default.
- W2895080059 hasConceptScore W2895080059C516764902 @default.
- W2895080059 hasConceptScore W2895080059C60952562 @default.
- W2895080059 hasConceptScore W2895080059C68649174 @default.
- W2895080059 hasConceptScore W2895080059C75684735 @default.
- W2895080059 hasConceptScore W2895080059C77088390 @default.
- W2895080059 hasConceptScore W2895080059C79158427 @default.
- W2895080059 hasLocation W28950800591 @default.
- W2895080059 hasLocation W28950800592 @default.
- W2895080059 hasOpenAccess W2895080059 @default.
- W2895080059 hasPrimaryLocation W28950800591 @default.
- W2895080059 hasRelatedWork W1510497563 @default.
- W2895080059 hasRelatedWork W1599353049 @default.
- W2895080059 hasRelatedWork W2140452755 @default.
- W2895080059 hasRelatedWork W2564849856 @default.
- W2895080059 hasRelatedWork W2573390226 @default.
- W2895080059 hasRelatedWork W2625669453 @default.
- W2895080059 hasRelatedWork W2807415607 @default.
- W2895080059 hasRelatedWork W4231952731 @default.
- W2895080059 hasRelatedWork W4283581142 @default.
- W2895080059 hasRelatedWork W4361276277 @default.
- W2895080059 hasVolume "166" @default.
- W2895080059 isParatext "false" @default.
- W2895080059 isRetracted "false" @default.
- W2895080059 magId "2895080059" @default.
- W2895080059 workType "article" @default.