When the Cloud Goes Pervasive: Approaches for IoT PaaS on a Mobiquitous World

Steffenel, Luiz Angelo; Pinheiro, Manuele Kirsch

doi:10.1007/978-3-319-47063-4_36

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…In a previous work (Steffenel & Kirsch-Pinheiro, 2015), we conducted performance tests comparing the performance of Hadoop and CloudFIT when running the well-known WordCount application in a cluster platform. While these tests show that CloudFIT can reach performances at the same level than Apache Hadoop, we also observed the need to reinforce the data locality, i.e., the optimal data access for the computing tasks.…”

Section: Data Accessmentioning

confidence: 99%

“…Oneofthemajorchallengeswithedgecomputingistocoordinatewhichtasksareassignedtoeach resourceinordertoefficientlyperformoperationsandreducethecommunicationlatency(Shekar &Gokhale,2017).WhenusingaP2Poverlay,however,weobservethatnodesareoftenorganized In a previous work (Steffenel & Kirsch-Pinheiro, 2015), we conducted performance tests comparingtheperformanceofHadoopandCloudFITwhenrunningthewell-knownWordCount applicationinaclusterplatform.WhilethesetestsshowthatCloudFITcanreachperformancesat thesamelevelthanApacheHadoop,wealsoobservedtheneedtoreinforcethedata locality,i.e., theoptimaldataaccessforthecomputingtasks.Indeed,partofthesuccessofApacheHadoopisits capabilitytostarttaskswherethedataisstored,avoidingthereforeunnecessarynetworktransfers.…”

Section: Coordination and Clusteringmentioning

confidence: 99%

“…InordertobettervalidatedesignassumptionsproposedonCloudFIT,wehavedecidedtoconfront thosewithanempiricalenvironment,throughacasestudyissuefromarealitysituation.Thus,in thissection,wepresentarealapplicationdevelopedoverCloudFITanddeployedoverapervasive cluster, initially presented in (Steffenel et al, 2016). This application implements a surveillance andalertsystemforultra-violetrisksduetoozone-layereventsallwhilerelyingonalreadyexisting computationalresources,representingnoadditionalcosttotheinstitution.…”

Section: Case Study: Monitoring Ozone Events For Uv Alertsmentioning

confidence: 99%

“…While data analysis is not a new topic, it was boosted by the development of large-scale computing platforms, notably the clouds. While cloud computing relies on distant resources, several works try to leverage the use of proximity resources as effective computing platforms (Garcia Lopez, 2015;Parashar & Pierson, 2010;Steffenel & Kirsch-Pinheiro, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Strategies to Implement Edge Computing in a P2P Pervasive Grid

Steffenel

Pinheiro

Peres

et al. 2018

International Journal of Information Technologies and Systems Approach

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The exponential dissemination of proximity computing devices (smartphones, tablets, nanocomputers, etc.) raises important questions on how to transmit, store and analyze data in networks integrating those devices. New approaches like edge computing aim at delegating part of the work to devices in the “edge” of the network. In this article, the focus is on the use of pervasive grids to implement edge computing and leverage such challenges, especially the strategies to ensure data proximity and context awareness, two factors that impact the performance of big data analyses in distributed systems. This article discusses the limitations of traditional big data computing platforms and introduces the principles and challenges to implement edge computing over pervasive grids. Finally, using CloudFIT, a distributed computing platform, the authors illustrate the deployment of a real geophysical application on a pervasive network.

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Section: Data Accessmentioning

confidence: 99%

Section: Coordination and Clusteringmentioning

confidence: 99%

Section: Case Study: Monitoring Ozone Events For Uv Alertsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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