Predictive Analytics in Cloud, Fog, and Edge Computing: Perspectives and Practices of Blockchain, IoT, and 5G

252 Pages·2023·6.138 MB·English

by  Hiren Kumar Thakkar, Chinmaya Kumar Dehury, Prasan Kumar Sahoo, Bharadwaj Veeravalli

Hiren Kumar Thakkar
Chinmaya Kumar Dehury
Prasan Kumar Sahoo
Bharadwaj Veeravalli   Editors
Predictive
Analytics in
Cloud, Fog, and
Edge Computing
Perspectives and Practices
of Blockchain, IoT, and 5G
Predictive Analytics in Cloud, Fog, and Edge
Computing
Hiren Kumar Thakkar • Chinmaya Kumar Dehury (cid:129)
Prasan Kumar Sahoo (cid:129) Bharadwaj Veeravalli
Editors
Predictive Analytics in
Cloud, Fog, and Edge
Computing
Perspectives and Practices of Blockchain, IoT,
and 5G
Editors
HirenKumarThakkar ChinmayaKumarDehury
DepartmentofComputerScienceand InstituteofComputerScience
Engineering UniversityofTartu
PanditDeendayalEnergyUniversity Tartu,Estonia
Gandhinagar,Gujarat,India
PrasanKumarSahoo BharadwajVeeravalli
DepartmentofComputerScienceand DepartmentofElectricalandComputer
InformationEngineering Engineering
ChangGungUniversity NationalUniversityofSingapore
Guishan,Taiwan Singapore,Singapore
ISBN978-3-031-18033-0 ISBN978-3-031-18034-7 (eBook)
https://doi.org/10.1007/978-3-031-18034-7
©TheEditor(s)(ifapplicable)andTheAuthor(s),underexclusivelicensetoSpringerNatureSwitzerland
AG2023
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Preface
Intherecentpast,thenumberofconnecteddeviceshasgrownexponentially,leading
toenormousamountofrawdatageneration.However,abundantamountofrawdata
ismeaninglessunlessanalysedtominetheinformativepatterns.Inthisregard,raw
dataneedtobeprocessandanalysedatdevicelevel(edgecomputing),networklevel
(fogcomputing),andinthedatacentre(Cloudcomputing).Designinganefficient
predictive algorithm is a challenging task at device level as well as network level
consideringthelimitationsofcomputationpower.Onthecontrary,cloudcomputing
supports massive computation capacity todesign an efficient predictive algorithm,
but it suffers due to the high latency. Additionally, attempts are made to integrate
the cross technologies such as blockchain, IoT, and 5G with cloud computing
for better application designing and support. This book attempts to provide a
comprehensivereviewofedge,fog,andcloudcomputingwithdetaileddescription
on their applicability, limitations, and how each technology complements each
other. Moreover, the book focuses on predictive analytics in cloud, fog, and edge
computing as well as on perspectives and practices of blockchain, IoT, and 5G. It
covers the domains such as healthcare security in cloud computing, watermarked
medicalimagetransmissionoverthecloud,roleofblockchainincloudcomputing,
cloud-based smart controlled environment designing, serverless data pipelines for
IoT data analytics, impact of 5G technologies on cloud analytics, and 5G-enabled
smartcityusingcloudenvironment.
Gandhinagar,Gujarat,India HirenKumarThakkar
Tartu,Estonia ChinmayaKumarDehury
Guishan,Taiwan PrasanKumarSahoo
Singapore,Singapore BharadwajVeeravalli
v
Acknowledgement
We would like to first thank the Almighty for proving us the strength to pursue
the idea and carry it forward to make a comprehensive edited book on the
predictive analytics of cloud, fog, and edge computing. Our sincere thanks to
all the contributors who have provided their valuable time, support, and timely
contributions to make this book successful. We would also like to thank all the
reviewers for their informative and constructive suggestions to the contributors
to improve the chapters. Finally, we would like to thank our institutions, Pandit
Deendayal Energy University (PDEU), India; University of Tartu, Estonia; Chang
Gung University, Taiwan; and the National University of Singapore, for providing
alltherequiredresourcesfordrafting,proofreading,andeditingthebook.
vii
Contents
CollaborationofIoTandCloudComputingTowardsHealthcare
Security............................................................................ 1
ShwetankKumar,AnjanaMishra,AmishaDutta,andAdityaRaj
Robust, Reversible Medical Image Watermarking for
TransmissionofMedicalImagesoverCloudinSmartIoTHealthcare.... 23
K. Jyothsna Devi, M. V. Jayanth Krishna, Priyanka Singh, José
Santamaría,andParulBakaraniya
TheRoleofBlockchaininCloudComputing................................. 37
HirenKumarThakkar,KirtirajsinhZala,NeelH.Dholakia,AdityaJajodia,
andRajendrasinhJadeja
AnalysisandPredictionofPlantGrowthinaCloud-BasedSmart
SensorControlledEnvironment................................................ 61
Aritra Nandi, Arghyadeep Ghosh, Shivam Yadav, Yash Jaiswal,
andGoneNeelakantam
Cloud-BasedIoTControlledSystemModelforPlantDisease
Monitoring........................................................................ 75
AritraNandi,AsmitaHobisyashi,ShivamYadav,andHirenMewada
DesignandUsageofaDigitalE-PharmacyApplicationFramework...... 91
Shatabdi Raut, Samikshya Moharana, Soumya Sahoo, Roopal Jena,
andPayalPatra
Serverless Data Pipelines for IoT Data Analytics: A Cloud
VendorsPerspectiveandSolutions............................................. 107
Shivananda Poojara, Chinmaya Kumar Dehury, Pelle Jakovits,
andSatishNarayanaSrirama
IntegrationofPredictiveAnalyticsandCloudComputingfor
MentalHealthPrediction ....................................................... 133
AkashNag,MaddhujaSen,andJyotiradityaSaha
ix
x Contents
Impactof5GTechnologiesonCloudAnalytics............................... 161
Kirtirajsinh Zala, Suraj Kothari, Sahil Rathod, Neel H. Dholakia,
HirenKumarThakkar,andRajendrasinhJadeja
IoT Based ECG-SCG Big Data Analysis Framework for
ContinuousCardiacHealthMonitoringinCloudDataCenters ........... 177
HirenKumarThakkarandPrasanKumarSahoo
AWorkload-AwareDataPlacementSchemeforHadoop-Enabled
MapReduceCloudDataCenters............................................... 185
HirenKumarThakkar
5GEnabledSmartCityUsingCloudEnvironment.......................... 199
ParulBakaraniya,ShrinaPatel,andPriyankaSingh
HardwareImplementationforSpikingNeuralNetworks
onEdgeDevices .................................................................. 227
ThaoN.N.Nguyen,BharadwajVeeravalli,andXuanyaoFong
Collaboration of IoT and Cloud
Computing Towards Healthcare Security
ShwetankKumar,AnjanaMishra,AmishaDutta,andAdityaRaj
1 Introduction
With use of an internet connection, utility computing provides amenity in the fact
that may be retrieved from anyplace on this planet. Internet of Things (IoT) as a
platform gathers real-time data, makes it easier to examine and analyze obtained
data, and so creates an interdependent environment that can be shared with a
variety of stakeholders. The method valetudinarian and therapeutical personnel
interrelateandworkonadaytodaybasisischanginginthehealth-caresector.The
InternetofThings(IoT)revolutionwillbecriticalinlinkingabundanceofmodish
items, tablets, apparel gadget, android, i-phone, etc. and cloud health apps using
a variety of conveying procedure such as wireless detector networks, etc. Health
UOIappsfluctuatefromforbearingobservationtopersistenceillnessmanagement
will save healthcare costs while also improving the timeliness and efficiency of
service.Becausedifferentdiseasesmightoccuratanytime,healthcareservicesare
alwaysachallenge.IoThavebeenextensivelyusedtolinkaccessiblemedicalassets
and assist patients with chronic conditions with dependable, effective, and smart
healthcare services. Healthcare monitoring has made significant improvements.
TheseaccomplishmentshaveprovedthevalueofIoTinhealthmanagementsystems
anditsbrillianttimeahead[1].
The internet is now used by over 2 billion individuals all over the world for
differentdomainssuchaswirelesssensornetworks[2],healthcare[3],androbotics
etc. Kevin Ashton devises the idiom “Internet of Things” to describe growing
worldwide Internet-based information service architecture. The Internet of Things
combines ideas from pervasive, ubiquitous, and ambient computing, all of which
havematuredoverthelasttwodecadesandhavenowreachedapointofmaturity.
S.Kumar·A.Mishra((cid:2))·A.Dutta·A.Raj
C.V.RamanGlobalUniversity,Bhubaneswar,Odisha,India
©TheAuthor(s),underexclusivelicensetoSpringerNatureSwitzerlandAG2023 1
H.K.Thakkaretal.(eds.),PredictiveAnalyticsinCloud,Fog,andEdgeComputing,
https://doi.org/10.1007/978-3-031-18034-7_1
2 S.Kumaretal.
The ‘Internet of Things,’ which will provide as a worldwide program to connect
physical entity, things, and humans, authorizing new methods of functioning,
interfacing, Interrelating, pleasing, and maintaining, will rule the future. UOI or
IoT is based on notion of object hyperlinking, which promises people a modish,
highlyaccessibleworldwithavastrangeofinteractivitywiththesurroundings.This
shift from the Internet which is previously used for connecting end-user devices
to internet used for interconnecting physical objects with humans will open a
multiple business and market opportunities. The cloud and the Internet of Things
are collectively reliant. To compensate for its technological limitations, IoT may
takeadvantageoftheCloud’spracticallylimitlesscapabilitiesandresources(e.g.,
storage,processing,andenergy).IoTcanimprovethecloudbybroadeningitsreach
toincludereal-worldobjectsandofferingaenormousnumberofnewassistancein
adispersedandbenefitfromnew.
UOI or IoT is a new solution that dispenses the transmission architecture that
every innovation healthcare system need. While the Internet of Things may be
employedinaextensiverangeofindustriesandimplementation,itsimportancein
health management is apparent. Detector collecting patients’ vitals, primary care
equipment,institution,healthcenters,rehabilitationdepartment,dotagehomes,and
home automation all benefit from the Internet of Things’ core communications
foundation.
2 Inspiration
This system will allow for the analysis of communities and healthcare facilities,
as well as the provision of information regarding healthcare outcomes to patients.
Healthcare dataiscurrentlykeptinmassivedatabases anddisseminatedthrougha
variety of electronic channels. Why, therefore, might such information pique the
curiosity of well-organized, very deadly criminal gangs? These organizations can
utilizetheinformationforavarietyofpurposes,includingblackmailingindividuals
withinformationabouttheirailments,sellinginformationtomarketingcorporations
for use in product advertising campaigns, and obtaining fake prescriptions by
inventing forged identities. This motivation stems from the fact that IoT security
has never been addressed using portable computing before. The quantities of data
thatmaybegeneratedonadailybasisneedbothstorageandprocessing,whichis
whycloudarchitectureisgainingpopularity.Asaresult,evaluatingtheconventional
security systems usage of mobile computing ideas will become a future research
directionstrend[4].TheomnipresentandwidespreadnatureofIoTdeviceswasthe
primary impetus for doing this investigation. The fast growth of IoT devices and
computersecurityneedstrongprotection.