TY - GEN
T1 - Can IoT escape cloud QoS and cost pitfalls
AU - Dhirani, Lubna Luxmi
AU - Newe, Thomas
AU - Nizamani, Shahzad
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Cloud Computing models, architectures and service adaption have been growing on a larger scale based on convenience, on-demand resource provisioning, customized services and economic benefits. The Cloud assists enterprises in reducing the Total Cost of Ownership (TCO) but the anticipated Return on Investment (ROI) is not guaranteed in time due to quality pitfalls leading to vendor lock-in situations. Sensing technologies, which utilize the cloud environment as a prime infrastructure supporting IoT applications and data processing often fail to identify and understand Cloud Quality of Service (QoS) issues. This paper discusses factors related to assessing the Cloud vendors QoS, minimizing quality control and cost issues and increasing feasibility for IoT applications on the cloud ecosystem.
AB - Cloud Computing models, architectures and service adaption have been growing on a larger scale based on convenience, on-demand resource provisioning, customized services and economic benefits. The Cloud assists enterprises in reducing the Total Cost of Ownership (TCO) but the anticipated Return on Investment (ROI) is not guaranteed in time due to quality pitfalls leading to vendor lock-in situations. Sensing technologies, which utilize the cloud environment as a prime infrastructure supporting IoT applications and data processing often fail to identify and understand Cloud Quality of Service (QoS) issues. This paper discusses factors related to assessing the Cloud vendors QoS, minimizing quality control and cost issues and increasing feasibility for IoT applications on the cloud ecosystem.
KW - Cloud Computing Service Level Agreement
KW - Cloud Return on Investment
KW - IoT
KW - QoS
KW - Total Cost of Ownership
UR - http://www.scopus.com/inward/record.url?scp=85061496108&partnerID=8YFLogxK
U2 - 10.1109/ICSensT.2018.8603570
DO - 10.1109/ICSensT.2018.8603570
M3 - Conference contribution
AN - SCOPUS:85061496108
T3 - Proceedings of the International Conference on Sensing Technology, ICST
SP - 65
EP - 70
BT - 2018 12th International Conference on Sensing Technology, ICST 2018
PB - IEEE Computer Society
T2 - 12th International Conference on Sensing Technology, ICST 2018
Y2 - 4 December 2018 through 6 December 2018
ER -