Resource Scalability and Security Using Entropy Based Adaptive Krill Herd Optimization for Auto Scaling in Cloud

Rahumath, Anver Shahabdeen; Natarajan, M.; Malangai, Abdul Rahiman

doi:10.1007/s11277-021-08238-0

Cited by 4 publications

(1 citation statement)

References 29 publications

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“…Aşırı kaynak kullanımına neden olan hileli kaynak tüketimi saldırılarının tespiti için P-tahmin i tespit şemasının sunulduğu çalışmada [42], web sunucusu olay kayıtlarından yararlanılarak eğitilen bir derin öğrenme modeli kullanılmıştır. Çalışmada [43], bulut güvenliğini ve kaynakların otomatik ölçeklenebilirliğin i sağlamak için izolasyon ağaçlarının kullanıldığı optimize edilmiş bir anomali tespiti yaklaşımından ve entropi tabanlı uyarlanabilir Krill sürü optimizasyonundan faydalanmıştır. Çok müşteriye hizmet veren bulut konteyner hizmetlerindeki Linux çekirdeği kaynaklı yaşanabilecek veri sızıntısı ele alındığı çalışmada [44], yaşanabilecek veri sızıntıları ve daha geniş kapsamlı s aldırıların önlenmesi maksadıyla iki kademeli bir savunma mekanizmas ı sunulmuştur.…”

Section: Security)unclassified

A Review on Challenges in Cloud Computing Security and Recent Researchs

GÜLBURUN

Dener

2022

Bilişim Teknolojileri Dergisi

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Bulut bilişim sistemleri, kişi ve organizasyonlar tarafından ihtiyaç duyulan farklı seviye ve nitelikteki bilg i sistemleri kaynaklarının, talebe bağlı olarak istenilen zaman ve miktarda ihtiyaç sahibine sunulabildiği, çoğunlukla internet üzerinden erişilebilir kılınan, özellikle değişken iş yüklerine sahip organizasyonların ihtiyaçlarına en iyi şekilde cevap verebilen sistemlerdir. Bulut bilişim sistemlerinin kullanımının artmasına paralel olarak hem bulut biliş im platformlarına hem de bu platformlardan servis alan organizasyonlara yönelik saldırılar artış göstermiştir. Çalışmad a, öncelikle, farklı kuruluşlar tarafından hazırlanan bulut bilişim güvenlik raporları incelenerek, bulut bilişim kapsamında karşılaşılan temel tehditler ortaya konmuştur. Daha sonra Web of Science veri tabanı temel alınarak bulut biliş im güvenliği kapsamında yapılan güncel çalışmalar incelenmiştir.

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Section: Security)unclassified

A Review on Challenges in Cloud Computing Security and Recent Researchs

GÜLBURUN

Dener

2022

Bilişim Teknolojileri Dergisi

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Optimizing microgrid performance: Strategic integration of electric vehicle charging with renewable energy and storage systems for total operation cost and emissions minimization

Aldosari,

Ali,

Abdel Aleem

et al. 2024

PLoS ONE

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At present, renewable energy sources (RESs) and electric vehicles (EVs) are presented as viable solutions to reduce operation costs and lessen the negative environmental effects of microgrids (μGs). Thus, the rising demand for EV charging and storage systems coupled with the growing penetration of various RESs has generated new obstacles to the efficient operation and administration of these μGs. In this regard, this paper introduces a multi-objective optimization model for minimizing the total operation cost of the μG and its emissions, considering the effect of battery storage system (BSS) and EV charging station load. A day-ahead scheduling model is proposed for optimal energy management (EM) of the μG investigated, which comprises photovoltaics (PVs), fuel cells (FCs), wind turbines (WTs), BSSs, and EV charging stations, with shed light on the viability and benefits of connecting BSS with EV charging stations in the μG. Analyzing three case studies depending on the objective function—Case 1: execute EM to minimize total operation cost and maximize the profits of BSS, Case 2: execute EM to minimize total emission from the μG, and Case 3: execute EM to minimize total operation cost, maximize the profits of BSS, and minimize total emissions from the μG. The main aim of the presented optimization strategy is to achieve the best possible balance between reducing expenses and lessening the environmental impact of greenhouse gas emissions. The krill herd algorithm (KHA) is used to find the optimal solutions while considering various nonlinear constraints. To demonstrate the validity and effectiveness of the proposed solution, the study utilizes the KHA and compares the obtained results with those achieved by other optimization methods. It was demonstrated that such integration significantly enhances the μG’s operational efficiency, reduces operating costs, and minimizes environmental impact. The findings underscore the viability of combining EV charging infrastructure with renewable energy to meet the increasing energy demand sustainably. The novelty of this work lies in its multi-objective optimization approach, the integration of EV charging and BSS in μGs, the comparison with other optimization methods, and the emphasis on sustainability and addressing energy demand through the utilization of renewable energy and EVs.

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A Systematic Literature Review on Contemporary and Future trends in Virtual Machine Scheduling Techniques in Cloud and Multi-Access Computing

Rana

Jeribi

Amin

et al. 2023

Preprint

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Due to the extensive migration of business and scientific applications as well as the enormous growth in online data produced by IoT devices, numerous problems have arisen in cloud scheduling. Efficient delivery of resources considering user-defined Service Level Agreement (SLA) and Quality of Service (QoS) can only achieve with efficient and state-of-the-art scheduling methods. In this regard, virtual machine (VM) scheduling has been a highly required method for resource scheduling in the ever-changing cloud and multi-access computing environment (MAC). Based on an examination of recent literature, this investigation intends to provide a comprehensive Systematic Literature Review (SLR) of the methods employed for virtual machine scheduling in cloud computing. Besides, the SLR disseminates the challenges and opportunities in VM design and discusses future researchers' baselines. The SLR investigated the VM scheduling techniques and searched the most relevant research databases online. The authors selected sixty-seven (67) preliminary studies for this review out of 722 articles between 2008 and 2022. A total of 67 articles were reviewed for VM scheduling methods and techniques. The taxonomical results were divided into three major classes; conventional approach, heuristics approach, and meta-heuristic approach. With the observation, this review concludes that a lot of development in VM scheduling techniques in the literature are based on metaheuristics and heuristics methods. At last, many open issues, challenges, and development trends of modern VM scheduling techniques are discussed.

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Resource Scalability and Security Using Entropy Based Adaptive Krill Herd Optimization for Auto Scaling in Cloud

Cited by 4 publications

References 29 publications

A Review on Challenges in Cloud Computing Security and Recent Researchs

A Review on Challenges in Cloud Computing Security and Recent Researchs

Optimizing microgrid performance: Strategic integration of electric vehicle charging with renewable energy and storage systems for total operation cost and emissions minimization

A Systematic Literature Review on Contemporary and Future trends in Virtual Machine Scheduling Techniques in Cloud and Multi-Access Computing

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