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Considering current problems in performance evaluation of the Cloud and its management policies and strategies, this thesis presents different approaches for simultaneous evaluation of the performance, dependability, and power consumption of Infrastructure-as-a-Service (IaaS) clouds. The proposed approaches use Stochastic Reward Nets (SRNs) and Stochastic Activity Networks (SANs) to model and evaluate performability and power consumption of cloud systems. In all of the proposed approaches, the cloud resource management system is power-aware. It means that idle Physical Machines (PMs), network equipment, and supporting subsystems are kept in powered-off or standby modes, as much as possible,... 

Cloud computing is a paradigm for scalable processing infrastructure which combines distributed software concepts, networks and IT management. Virtualization techniques help to increase productivity from resources. Services are adjusted based on service level agreement with a contract between users and service providers for specifying quality service. In this way, the level of customer satisfaction will be improved. Reliable and flexible management of service level agreements is very important for users and providers. This agreement model is used to prevent the payment of the penalty by providers and minimized interaction between users and providers. Migration from the traditional model to a... 

Today, the significant growth of virtual and computer communications is clear to everyone. Naturally, the inputs and outputs of all these communications is Data. Creating and using data is considered to be so important that new sciences such as data science have been developed to analyze this phenomenon. As we know the main source of all data that we can deal with throughout the day are Data centers and Data warehouses. A data center is where many servers are in operation and never shut down during the day and night. Consequently, there are several concerns due to rapid growth of data centers all over the world. The main concern is the amount of energy consumption that causes damage to the... 

With the advent of Internet technology and globalization, the use of enterprise resource planning systems, through the Internet, is growing and indicates access to information and communication as part of a global business strategy.. With the extension of Internet penetration, cloud processing has attracted particular attention. According to this process, due to issues such as maintenance costs, reliability, and scalability, much attention has been paid to cloud enterprise resource planning systems. But major attention has been paid to ERP as a software service, and less has been given to providing cloud platform to develop and integrate enterprise resource planning systems in a supply... 

Cloud computing is a way to increase capacity or add capabilities dynamically without investing in new infrastructure. The purpose of this project is the use of specialized algorithms for efficient energy management for cloud computing environments.One of the issues that is very important with respect to cloud computing is considering lifetime of servers or physical machines. Servers are some of the most important and critical elements of cloud computing. Server costseffect on the costs of the entire cloud computing system and the interference of serverseffects on entire system. Lifetime of each sever is dependent on a few factors, the most important of which is the number of switching... 

Forecasts predict that the volume of digital data will increase by 300 times in 2020 compared with 2005. This significant growth further emphasizes the importance of Big Data as well as Big Data Processing. MapReduce and its open source implementation Hadoop are prevailing frameworks for implementing Big Data Analytics and applications. Because of inherently huge amount of data and computational requirements of Big Data applications, acquisition of large amount of computational resources is necessary. However, managing in-house clusters to respond the computational requirements is costly such that small- and middle-sized companies either cannot afford it, or find cloud-based solutions... 

The ever-increasing volume of data and the lack of computational and storage facilities have caused a managerial challenge to organizations. The existence of these challenges on the one hand and the increase of storage services on the other hand have compelled the organizations to delegate their storage and management of data to the server providers of cloud storage services. The outsourcing of data to servers obviates the need for purchasing exorbitant storage equipment and recruiting professional workforce in the organization. Since the organization’s data will be kept outside the organization’s ambience in case of using such services in form of outsourcing, and the data will not be under... 

As cloud computing becomes a ubiquitous technology, data outsourcing, which means delegating storage and retrieval of the data to an extraneous service provider, becomes more popular. One of the main issues in data outsourcing is preserving data confidentiality and privacy. A common solution to this problem is encrypting the data before outsourcing, but this approach prevents the service provider from doing computations on the data. A trivial solution is to transfer all of the data to the client-side and decrypt it before doing the computations, but this solution imposes a large overhead on the client-side and contradicts the philosophy of outsourcing. Till now, so many encryption schemes... 

In auction-based cloud investment environments, consumers desire the least possible cost and high satisfaction, while providers seek strategies to maximize profit and return on investment. In these environments designing an adequate resource allocation that can satisfy both consumers and providers is of utmost importance. Yet, most available models in resource allocation focus on providers’ needs and do not concern themselves with the consumers. Therefore the present study aims to present an efficient and optimum model for resource allocation problem that takes into account various factors, e.g. resource price, service quality, reputation and fairness, and is capable of satisfying all honest... 

In cloud computing services, high availability is one of the most quality requirements that it is necessary to maintain customer confidence. This requires various fault tolerance mechanisms for coping with software and hardware failures.In this thesis, after reviewing previous research, eight different scenarios was designed for availability evaluation of redundant openstack private clouds, represented by RBDs and Markov chains, hierarchically assembled.Based on the availability and downtime results obtained from the scenarios and cost consideration of company, best architecture for openstack is implemented.For real world modeling, we tried to collect and analyze the hardware and...