As a central concern and a key directive of the Supreme Leader, human resource productivity has been extensively emphasized in his statements and guidelines. Given that the strength of the economy and national macro-management relies on the optimal utilization of existing capacities and the adoption of long-term strategies to enhance organizational and human resource productivity, Imam Khamenei has consistently highlighted this issue in annual slogans [e.g., “Rawnaq-i Tawlīd” (Production Boom), “Iqtiṣād-i Muqāvimatī” (Economy of Resistance), and “Rushd-i Tawlīd” (Production Growth)]. The present study, utilizing library resources, specialized software, and cyberspace, employs content analysis and interpretive methods to explore the components of human resource efficiency in the Quranic thought of Imam Khamenei. The findings indicate that, based on divine revelation, Imam Khamenei identifies components such as faith and trust in God, preserving employee dignity, competent leadership, enhancing job motivation, fostering competitiveness, improving physical and mental well-being, education and institutionalizing a monotheistic culture, expertise and commitment, experience, and attention to creativity and innovation as key factors in enhancing human resource efficiency. The study concludes that the growth and development of organizations and Islamic societies are closely tied to the level of human resource efficiency. Achieving this requires systematic adherence to the identified components and their precise implementation at various organizational and societal levels. Thus, prioritizing these factors enhances organizational efficiency and effectiveness and paves the way for the progress and elevation of Islamic societies across multiple dimensions  .

Cloud computing is a result of the continuing progress made in the areas of hardware, technologies related to the Internet, distributed computing and automated management. The Increasing demand has led to an increase in services resulting in the establishment of largescale computing and data centers, in addition to high operating costs and huge amounts of electrical power consumption. Insufficient cooling systems and inefficient, causing overheating sources, shortening the life of the machine and too much carbon dioxide is produced. In this paper, we aim to improve system performance; Cloud Computing based on a decrease in migration of among virtual machines (VM), and reduce energy consumption to be able to manage resources to achieve optimal energy efficiency. For this reason, various techniques such as genetic algorithms (GAs), virtual machine migration and ways Dynamic voltage and frequency scaling (DVFS), and resize virtual machines to reduce energy consumption and fault tolerance are used. The main purpose of this article, the allocation of resources with the aim of reducing energy consumption in cloud computing. The results show that reduced energy consumption and hold down the rate of virtual machines breach of contract, reduces migration as well.