فهرست مطالب alireza chamkoori

Data security and privacy in data centers is an important issue. The major anxiety in security and privacy is the result of the fact that the topography of important operas can be available to sensitive information. To improve storage in distributed cloud data centers, the Particle Swarm Optimization (PSO) algorithm has been used to copy data between data centers. This paper summarizes the objectives and constraints of the cloud storage problem in order to achieve good performance by considering the shortest data transmission distance, obtaining optimal storage in distributed data centers with reliability based on PSO algorithm between two central data sets. And then it provides an intelligent cryptographic approach that cloud service operators cannot directly access partial data. Numerical results show that the proposed method can provide a good cloud storage strategy  when the number of distributed data centers is equal, the defense of the main threats in the clouds can be done effectively.

QoS is a measure of the level of service provided to users and is the degree of confidence that an application can have in meeting the needs of the network. Various factors are involved in evaluating the quality of service, including availability, efficiency, the time required to communicate, percentage of successful transfers, and speed of error detection and correction. In the VoIP category, service quality is measured in terms of available and available bandwidth, packet loss rates, latency, and jitter changes. In order to have the desired quality in high-delay applications on the IP network, it must be ensured that the values ​​of the mentioned parameters for each session are in a certain range. In this paper, the presented solutions in the field of digital signal processing to improve the quality of service are expressed and in each step, the results of the simulations are compared and evaluated. Finally, an attempt has been made to select and determine the optimal method.