A pricing approach for optimal use of computing resources in cloud federation

Dinachali, Bijan Pourghorbani; Jabbehdari, Sam; Javadi, Hamid Haj Seyyed

doi:10.1007/s11227-022-04725-8

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…The foundational principles governing this integration include uniqueness [30], hierarchy [31], scientificalness [32], and relevance [33], as presented in Table 1. Specifically, the enhancement of the power supply capacity, amelioration of the power supply quality, augmentation of economic benefits, and compliance with social and environmental policies have been defined as first-level indicators [34] of the project's benefits in socio-economic and technological contexts [35]. These first-level indicators have subsequently been categorized into more granular second-level indicators.…”

Section: Evaluation Index System For Investment Effects Of Power Supp...mentioning

confidence: 99%

A Cloud- and Game Model-Based Approach to Project Evaluations of Sustainable Power Supply Investments

Lin,

2024

Sustainability

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In light of electrical energy’s increasing role in economic systems worldwide, prioritizing investments in sustainable power supplies has become paramount. This study proposes a model based on cloud theory and game theory to evaluate sustainable power supply investment projects. It establishes a foundation for assessing the merits of power supply investments, which are crucial for continuous electricity provision and economic advancement. By integrating an enhanced analytic hierarchy process and the entropy method, the study develops a dual-weighted evaluative index system. This hybrid approach addresses ambiguities and enhances the weight determination accuracy, which, when applied to the Liaojiawan Transformer Substation, verifies the project’s high benefit level, corroborated by empirical data. This innovative methodology offers a strategic framework for future power supply investments.

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Section: Evaluation Index System For Investment Effects Of Power Supp...mentioning

confidence: 99%

A Cloud- and Game Model-Based Approach to Project Evaluations of Sustainable Power Supply Investments

Lin,

2024

Sustainability

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“…Therefore, we focus on designing a hybrid heuristic algorithm for task scheduling in clouds, to optimize user satisfaction and resource efficiency. User satisfaction has a great influence on the income and reputation of a cloud provider for service delivery [11]. The resource efficiency determines cost efficiency and energy efficiency at a heavy degree [3,12,13].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Combination of Genetic Algorithm and Particle Swarm Optimization for Scheduling Data-Intensive Tasks in Heterogeneous Cloud Computing

Shao

Wang

2023

Electronics

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Task scheduling is still an open issue for improving the performance of cloud services. Focusing on addressing the issue, we first formulate the task-scheduling problem of heterogeneous cloud computing into a binary non-linear programming. There are two optimization objectives including the number of accepted tasks and the overall resource utilizations. To solve the problem in polynomial time complexity, we provide a hybrid heuristic algorithm by combing both benefits of genetic algorithm (GA) and particle swarm optimization (PSO), named PGSAO. Specifically, PGSAO integrates the evolution strategy of GA into PSO to overcome the shortcoming of easily trapping into local optimization of PSO, and applies the self-cognition and social cognition of PSO to ensure the exploitation power. Extensive simulated experiments are conducted for evaluating the performance of PGSAO, and the results show that PGSAO has 23.0–33.2% more accepted tasks and 27.9–43.7% higher resource utilization than eight other meta-heuristic and hybrid heuristic algorithms, on average.

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An Examination of Cyber Security Solutions in Public and Private IaaS Infrastructures

Yoşumaz

2024

International Journal of Information Security Science

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The digital transformation is a dynamic process that unfolds within the data and information cycle, aimed at maximizing the efficiency businesses derive from data and information. For the structuring and sustenance of this process require information processing resources, typically sourced from cloud computing infrastructures. In this context, the aim of this study is to scrutinize the cyber security measures provided by both public and private IaaS infrastructures, aiding businesses in their selection process for digital transformation. To address the objectives of this research, a mixed-methods approach was adopted, integrating both qualitative and quantitative research techniques. The study is structured around two primary research questions. The first research question (RQ1) seeks to delineate the cyber security measures in Amazon AWS EC2, Google Cloud CE, and Proxmox VE IaaS (Internet as a Service) infrastructures. The second research question (RQ2) aims to identify the similarities and differences in cyber security measures across these infrastructures. Additionally, to verify the findings derived from (RQ1) ensure the credibility of the study, and to experimentally examine cyber security measures within these infrastructures, the study adopts an experimental research method from quantitative analysis techniques and the hypothesis (H0) " The findings obtained as a result of RQ1 are confirmed in AWS EC2 and Google Cloud CE IaaS infrastructures" is tested. As a result of the experimental research, hypothesis H0 was accepted. A review of existing literature, there has been encountered no research that concurrently examines, compares, and experimentally verifies the cybersecurity measures across both public and private IaaS infrastructures. Therefore, this study can be considered to make an original contribution to the existing body of knowledge by addressing an important gap in the literature on the comparative and experimental evaluation of cyber security practices in public and private IaaS infrastructures.

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A pricing approach for optimal use of computing resources in cloud federation

Cited by 3 publications

References 20 publications

A Cloud- and Game Model-Based Approach to Project Evaluations of Sustainable Power Supply Investments

A Cloud- and Game Model-Based Approach to Project Evaluations of Sustainable Power Supply Investments

An Efficient Combination of Genetic Algorithm and Particle Swarm Optimization for Scheduling Data-Intensive Tasks in Heterogeneous Cloud Computing

An Examination of Cyber Security Solutions in Public and Private IaaS Infrastructures

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