monireh hosseini sayadnavard

The continuation of technology integration in order to connect and exchange data with other devices and systems through the Internet exposes information security to increasing risks. Organizations can achieve a strategic advantage by securing information as a central information asset. Therefore, the current research aims to investigate the effect of work-related organizational factors, protection motivation, and planned behavior on information security protection with the mediating role of information protection motivation. The current research is descriptive-analytical and practical in terms of purpose. Data collection has been done using a questionnaire tool. The statistical population of this research is all the employees of the Islamic Republic of Iran Shipping Organization in the information technology department, whose number is about 1500 people. Also, the sample size was calculated according to Cochran's formula equal to 320 people who were randomly selected. In order to analyze the data, structural equation modeling and SmartPLS software were used. The results of the research showed that the variables of organizational commitment, job satisfaction, threat sensitivity, threat intensity, self-efficacy, response cost, attitude, perceived behavioral control, and subjective norms have a significant effect on the motivation to protect information. Also, the significant effect of information protection motivation on information security protection behaviors was also confirmed.

Dynamic Virtual Machine (VM) consolidation is an effective manner to reduce energy consumption and balance the resource load of physical machines (PMs) in cloud data centers that guarantees efficient power consumption while maintaining the quality of service requirements. Reducing the number of active PMs using VM live migration leads to prevent inefficient usage of resources. However, high frequency of VM consolidation has a negative effect on the system reliability and we need to deal with the trade-off between energy consumption and system reliability. In recent years many research work has been done to optimize energy management using power management techniques. Although these methods are very efficient from the point of view of energy management, but they ignore the negative impact on the system reliability. In this paper, a novel approach is proposed to achieve a reliable VM consolidation method. In this way, a Markov chain model is designed to determine the reliability of PMs and then it has been prioritized PMs based on their CPU utilization level and reliability status. Two algorithms are presented to determining source and destination servers. The efficiency of our proposed approach is validated by conducting extensive simulations. The results of the evaluation clearly show that the proposed approach significantly improve energy consumption while avoiding the inefficient VM migrations.