Energy-Aware Cloud Architecture for Intense Social Mobile (Device to Device) 5G Communications in Smart City

Shafqat, Sarah; Kishwer, Saira; Qureshi, Muhammad Ahsan

doi:10.1109/ccwc.2019.8666490

Cited by 8 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Authors Shafqat, S., et al, suggest a brand new mobile verbal exchange structure that integrates power conscious cloud with social conscious tool to tool verbal exchange (Shafqat, S., et al, 2019).…”

Section: Energy Consumption Modelingmentioning

confidence: 99%

Energy-Aware VM Scheduler

Shukla¹,

Chaturvedi²

2022

International Journal of Information System Modeling and Design

View full text Add to dashboard Cite

Cost is the backbone of any business model to sustain and growth in the competitive business market. Considering this, higher energy consumption may affect the operational cost of any industry. Cloud computing is one of the most popular IT business model for service provider and its users. It is observed in many research, that the average cost of the services are highly dependent upon the run time and power consumption. More power consumption effect the environmental things as well. In this review, more than 100 research articles are considered to evaluate the energy consumption methods, issues and challenges from 2009 to 2021. Based on the study, the energy-aware load balancing methods are classified into four major clusters. The most cited methods are compared based on method used, platform where it is deployed, different evaluation parameters like cost, run time, Virtual Machine utilization, Service-level-agreement violation rate, and Quality-of-service QoS. The result of this review is presented as open research issues and challenges for forthcoming research.

show abstract

Section: Energy Consumption Modelingmentioning

confidence: 99%

Energy-Aware VM Scheduler

Shukla¹,

Chaturvedi²

2022

International Journal of Information System Modeling and Design

View full text Add to dashboard Cite

show abstract

“…This is where biotic sequestration, or tree-based sequestration becomes the chosen method. In this case CO 2 is trapped through the natural process of photosynthesis [74][75][76][77]. This means that during the capture part there are no setbacks and no side effects, as it is derived from a total natural process.…”

Section: Biotic Cssmentioning

confidence: 99%

One Step Greener: Reducing 5G and Beyond Networks’ Carbon Footprint by 2-Tiering Energy Efficiency with CO2 Offsetting

et al. 2020

View full text Add to dashboard Cite

Fifth generation (5G) and Beyond-5G (B5G) will be characterized by highly dense deployments, both on network plane and user plane. Internet of Things, massive sensor deployments and base stations will drive even more energy consumption. User behavior towards mobile service usage is witnessing a paradigm shift with heavy capacity, demanding services resulting in an increase of both screen time and data transfers, which leads to additional power consumption. Mobile network operators will face additional energetic challenges, mainly related to power consumption and network sustainability, starting right in the planning phase with concepts like energy efficiency and greenness by design coming into play. The main contribution of this work is a two-tier method to address such challenges leading to positively-offset carbon dioxide emissions related to mobile networks using a novel approach. The first tier contributes to overall power reduction and optimization based on energy efficient methods applied to 5G and B5G networks. The second tier aims to offset the remaining operational power usage by completely offsetting its carbon footprint through geosequestration. This way, we show that the objective of minimizing overall networks’ carbon footprint is achievable. Conclusions are drawn and it is shown that carbon sequestration initiatives or program adherence represent a negligible cost impact on overall network cost, with the added value of greener and more environmentally friendly network operation. This can also relieve the pressure on mobile network operators in order to maximize compliance with environmentally neutral activity.

show abstract