Power generation using hybrid renewable energy resources for domestic applications

Padma, S.; Vijayalakshmi, K.; Sangameshwaran, G.

doi:10.1109/wispnet.2016.7566491

Cited by 6 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Extensive research has been conducted to ensure energy efficient operation of DCs [7], [9]- [11], taking into consideration various, energy-intensive DC systems, such as the cooling installation, for instance [5], [6]. Researchers have proposed the use of renewable energy sources to power DCs [6], [12], [13]. However, these sources do not offer sufficient reliability levels due to their dependency on weather conditions (sun or wind) [6], [14].…”

Section: Introductionmentioning

confidence: 99%

Optimized Energy Aware Resource Allocation Algorithm Using Software Deﬁned Network Technology

Al-Musawi¹,

Al-Khatib²

2019

JTIT

View full text Add to dashboard Cite

The number of data centers (DCs) used for storing and processing data has evolved rapidly in recent years. However, the operations held by DCs may relate to a number of disadvantages, primarily presuming in excessive energy and power consumption due to the poor management standards applied. This may lead to a situation in which many devices within the DC operate at full capacity without any tasks assigned for actual execution. A Software Deﬁned Network (SDN) is a network architecture where the control plane is an independent entity from the data plane, yielding to a higher controllability and ﬂexibility over the network. Through the utilization of SDN architecture, a highly functional energy aware network may be established. In this paper, we propose a heuristic algorithm that monitors the current status of an SDN network (in addition to all ingoing and outgoing trafﬁc), in order to dynamically and eﬃciently allocate network resources by ensuring that only the necessary network devices are active and by turning the idle ones oﬀ. The results show that the proposed algorithm reduces energy consumption of the network compared to existing solutions.

show abstract