Energy-efficient Virtual Machine Allocation Technique Using Flower Pollination Algorithm in Cloud Datacenter: A Panacea to Green Computing

Abstract

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Applications and Evaluations ofBio-InspiredApproaches in Cloud Security: A Review

“…Most of the papers prioritize the following elements in their experiments: task scheduling [96], [123], [124], biometric identification [112], [125], network optimization [60], [126]- [129], and network stability [123], [130], [131]. ACO may be very promising when implemented to single-goal optimization, even though more common GA have somewhat overtaken.…”

“…Finally, we would like to suggest some of the possible scopes, shortly for researcher and practitioner as a brainstorming concept: reducing the reaction time and maximizing VM's resource allocation considering the QoS factor; improving the load stability in WSN using RCNN learning; SVM-PSO based community Forensics and RNN techniques for Intrusion Detection. Feature selection from natural algorithm Koroniotis et al [133] Quality of service NF PSO and DL Enhance NF Al hawaitat et al [134] WS PNS PSO Jamming attack Shi et al [135] Anomaly detection P ADAID 1 Presented unsupervised clustering Usman et al [96] VM allocation VR EFPA 2 Energy-oriented allocation Singh et al [103] VM migration VR HBGA 3 Energy reduction Naik et al [130] VM allocation VR Fruit fly Reduce host migration Meng & Pan [136] Optimization VR FFOA solve MKP 4 Mosa & Paton [126] VM placement VR GA Reduce response time & maximize resources utilization Duan et al [137] Information leakage P DL Protect server Festag & Spreckelsen [138] Data leakage P DL Detection of protected health information Chari et al [125] Quality of service IA DL Generate password via cognitive information Li et al [139] Signal processing IA GA Feature extraction via EEG signal Saini & Kansal [127] WSN ACS SI Reduce energy consumption and increase network life time Chen et al [140] Biometric identification IA CNN Proposed GSLT-CNN using human brain EEG Cao & Fang [141] Multilayer defense scenario ACS SI Found proficient IPSO elucidating extensive WTA problem Aliyu et al [124] Resource allocation ACS Ant colony Illustrated faster convergence optimize makespan time Poonia [142] VAN ACS SI Found significant difference in VANET routing protocol and Swarm based protocol Verma et al [ [129] Feature extraction ID GA Reduce features to classify network packet Tan et al [148] Real time network attack intrusion ID NN Able to detect in network precisely…”

“…Different digital technology, such as desktop, storage, and application, can be virtualized through cloud systems as shown Figure 7. Most of the cloud Virtualization problem is resource allocation problem, also known as NP-Hard; and, finding exact solutions is complicated for large scale data [96]. In virtual security, the most widely used biological inspired algorithm is the Evolutionary algorithm.…”

“…Cao (2019) [102] proposed a multi-objective GA. Their goal was to minimize energy consumption and communication traffic, which caused performance bottlenecks. In addition, Usman (2019) [96] proposed a new approach to reduce resource wastage and increase energy efficiency for VM allocation using Flower Pollination in the cloud data-center. The distribution employs a strategy called Dynamic Switching Probability (DSP).…”

A Dynamic Application-Partitioning Algorithm with Improved Offloading Mechanism for Fog Cloud Networks

“…In the FC network, the fog nodes are servers, which are placed at the edge of the Internet [6,7]. In general, terms, fog nodes are the subset of public cloud, and fog nodes have limited capacity as compared to the public cloud [8,9]. As a reason, computation offloading is a method used to transfer resources intensive computation tasks of an application to the external server for processing [10,11].…”