2016
DOI: 10.17485/ijst/2016/v9i48/105639
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Performance Evaluation of Energy Efficient Power Models for Digital Cloud

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Cited by 5 publications
(4 citation statements)
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“…The security of utilizations manages the assurance of mobile applications or mobile application models, which utilize the Cloud assets to offer better types of assistance for mobile clients in the MCC condition. Our early works [19][20][21][22][23][24][25][26][27][28][29] was completely based on Cloud based environments to find out different parameters. Kun Yang et al have discussed [2] Mobile Cloud Computing and networking.…”
Section: Related Research Workmentioning
confidence: 99%
“…The security of utilizations manages the assurance of mobile applications or mobile application models, which utilize the Cloud assets to offer better types of assistance for mobile clients in the MCC condition. Our early works [19][20][21][22][23][24][25][26][27][28][29] was completely based on Cloud based environments to find out different parameters. Kun Yang et al have discussed [2] Mobile Cloud Computing and networking.…”
Section: Related Research Workmentioning
confidence: 99%
“…Beforehand we have chipped away at how to improve the quality-of-service parameters of Cloud [3] [4] [5] by limiting the reaction time of various burden adjusting systems that can be utilized over Cloud. Aside from that we have committed our opportunity to make sense of which power model suits well for computerized Cloud [6] utilizing Green Cloud [7] alongwith different task scheduling algorithms [8].…”
Section: Related Workmentioning
confidence: 99%
“…The core simulation module [8][18] is generally liable for stacking and running the edge enrolling circumstances from the course of action reports. EdgeCloudSim dynamically makes it possible to stack the properties of edge datacenters, the characteristics of uses, and the fundamental recreation settings.…”
Section: Fig1 Edgecloudsim Block Diagrammentioning
confidence: 99%
“…Finally, we present lessons learned and discuss open challenges in Section 5 and conclude this paper in Section 6. [22] Technical advantages of cloud computing and SDN applied to vehicular networks [2] Ability of SDVC for managing migration scenarios of several virtual machines (VMs) [23] Comprehensive explanation of SDVN components, access technologies, and protocols [24] Impact of SDN paradigm along with implementation SDN applications in vehicular communication [25] SDVN architectures against major security threats and future 5G information-centric networking [26] Advanced routing schemes based on SDN and named data networks for VANETs and ITSs [28] Rational use of resources to enable the sustainable development of IoVs [27] SDN techniques tailored for VANET domain in terms of architecture and communications requirements [29] SDVN deployment in classic vehicular networks, 5G-VANETs, vehicular cloud, and vehicular fog [30] Comprehensive overview of big data and data analysis pipelines for smart 5G [31] Comprehensive framework for end-to-end security mechanisms in 5G-SDVN [32] Power models on IaaS for enabling VM migration our survey Techniques toward extended SDVC by leveraging 5G enabling technologies such as network slicing, MEC…”
mentioning
confidence: 99%