TY - JOUR
T1 - Cloud and IoT-based emerging services systems
AU - Sharma, Sugam
AU - Chang, Victor
AU - Tim, U. Sunday
AU - Wong, Johnny
AU - Gadia, Shashi
PY - 2019/3/31
Y1 - 2019/3/31
N2 - The emerging services and analytics advocate the service delivery in a polymorphic view that successfully serves a variety of audience. The amalgamation of numerous modern technologies such as cloud computing, Internet of Things (IoT) and Big Data is the potential support behind the emerging services Systems. Today, IoT, also dubbed as ubiquitous sensing is taking the center stage over the traditional paradigm. The evolution of IoT necessitates the expansion of cloud horizon to deal with emerging challenges. In this paper, we study the cloud-based emerging services, useful in IoT paradigm, that support the effective data analytics. Also, we conceive a new classification called CNNC {Clouda, NNClouda} for cloud data models; further, some important case studies are also discussed to further strengthen the classification. An emerging service, data analytics in autonomous vehicles, is then described in details. Challenges and recommendations related to privacy, security and ethical concerns have been discussed.
AB - The emerging services and analytics advocate the service delivery in a polymorphic view that successfully serves a variety of audience. The amalgamation of numerous modern technologies such as cloud computing, Internet of Things (IoT) and Big Data is the potential support behind the emerging services Systems. Today, IoT, also dubbed as ubiquitous sensing is taking the center stage over the traditional paradigm. The evolution of IoT necessitates the expansion of cloud horizon to deal with emerging challenges. In this paper, we study the cloud-based emerging services, useful in IoT paradigm, that support the effective data analytics. Also, we conceive a new classification called CNNC {Clouda, NNClouda} for cloud data models; further, some important case studies are also discussed to further strengthen the classification. An emerging service, data analytics in autonomous vehicles, is then described in details. Challenges and recommendations related to privacy, security and ethical concerns have been discussed.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85052058978&partnerID=MN8TOARS
U2 - 10.1007/s10586-018-2821-8
DO - 10.1007/s10586-018-2821-8
M3 - Article
SN - 1386-7857
VL - 22
SP - 71
EP - 91
JO - Cluster Computing
JF - Cluster Computing
IS - 1
ER -