The main objective of the thesis is to present SaaS business intelligence as a set of concepts and methods aimed at improvement of business decision making process based on Software as a Service model. To understand this, it's important to describe first general principles, on which are based conventional so-called on-premises solutions and the means how they work. It's also necessary to present Software as a Service as today's very popular software deployment model. Further objective is the description of these solutions, introduction of their strengths, weaknesses and guidelines how to choose a suitable service provider. Final objective of the thesis is to compare these two different methods of BI tools deployment, in that case on-premises and on-demand and to sketch out means, following them will be possible to decide for one of the methods.

This thesis discusses the increasing performance of Platform as a Service using virtualiza-tion. It focuses on the new trends in the provision of IT services, which is virtualization. Possibility of huge savings and improvement of performance of the hardware is interesting for every company, that's why a lot of companies want to migrate to the vir-tual infrastructure. The first part defines IT service and its categories. It describes the development of IT service and brings definitions based on multiple resources. The second part characterizes cloud computing services. This part focuses on the actual composition of the various forms of technology deployments and distribution models. Further focuses on the main benefits and disadvantages of the types of cloud computing. The focus of third part is virtualization. This part presents a five-step procedure for that matter the transition to virtualization. Chapter helps to understand the value that may pose to the enterprise virtualization. The fourth section deals with virtualization in a particular environment. This part brings specific solution of infrastructure virtualization together with the creation of the virtual machine for a new user.

Master thesis "Impact of Cloud Computing on Supply Chain Management" analyses the provisioning of IT resources in the form of cloud computing services and their impact on supply chain management environment. Attention is focused particularly on providing SaaS model of public applications delivery. The Cloud SCM implementation offers many advantages especially for small and medium sized companies. In this thesis I analysed the specifics of the deployment of Cloud SCM in highly unstable market environment, where a number of business partners share with each other relatively large amount of information. I identified factors of cloud computing, which have a significant impact on supply chain management. At the end of this thesis I analysed the trends of market supply, determined the leading providers of Cloud SCM and identified the specifics of selecting a suitable provider.

The main objective is to implement integration application for contacts and communication that will meet the Cloud-ready specification, therefore is ready for deployment in a cloud computing environment. The thesis summarizes the recommendations of scientific papers, case studies and documentation from cloud providers for cloud-ready application. It also summarizes the methodology Twelve-Factor app, which brings together a set of recommendations for cloud applications. The second objective is to define specification of application to be implemented on the basis of identified persona and its problems will be transformed to specification and requirements. It is followed by design of the architecture to meet the principles for the run in the cloud environment. The fourth partial objective is to evaluate recovered principles, procedures and actual implementation. The main contribution of this work is implemented in an application that is able to integrate contacts and communication. Another contribution of this work is to summarize and validate basic recommendations on cloud ready application and methodology Twelve-factor app.

This work is focused on the problematics of ERP as a Service and its main goal is to identify opportunities for new Czech providers of ERP as a Service. In theoretical part of this work at first is described that, what is provided by ERP as a Service. Further off is this part focused on that, how and under which terms can be and should be ERP as a Service provided. In last chapter of this part are presented world IT trends (for example Lean IT) and its relation to ERP as a Service. In second part of this work was documented the analysis of selected providers of ERP as a Service. That analysis helped to identify opportunities for new providers of ERP as a Service and also determine advices for new or selected providers of ERP as a Service. Creation of the method of the analysis was based on ideal of the provider of ERP as a Service and its product, which is described in first part of this work. In the analysis was also found some characteristics of Czech market of ERP as a Service and its providers. Benefits of this work are not only pointed at providers of ERP as a Service, but also at its potential customers. They can for example find out in this work on what they should focus on or what they should beware of when choosing ERP as a Service.

The aim of this these is to analyse the trends occurring in Business intelligence. It does examine, summarise and judge each of the trends from the point of their usability in the real world, their influence and modification of each phase of the implementation of Bussiness intelligence. It is clear that each of these trends has its positives and negatives which can influence the statements in the evaluation. These factors are taken into consideration and analysed as well. The advantages and disadvantages of the trends are occurring especially in the areas of economical demand and technical difficultness. The main aim is to compare the methods of implementation of Bussiness intelligence with actual trends in BI. In order to achieve this a few crucial points were set: to investigate recent trends in the BI and to define the methods of implementation in the broadest terms. The awaited benefit of this these is already mentioned investigation and analysis of trends in the area of Bussiness intelligence and its use in implementation.

My thesis concerns with a new phenomenon of the ICT industry -- cloud computing. The thesis is based on the fact that requirements of the customers on the cloud may differ, there is a significant difference between requirements of individuals and institutions (SMB, large companies or public institutions). In this regard, the thesis differentiates the cloud services for private and institutional use. The theoretical part of the thesis concerns with the definition of basic terms and history of cloud computing. Further, I define the cloud distribution model and its segmentation according to the method of deployment. The security represents another important factor, as it is the most important factor for the decision making on the transition to the cloud. Finally, there are other factors such as legal aspects, change of business processes, audit, governance and future development of cloud computing. The practical part concerns with complex analysis of the cloud market offer via cloud providers and its complex monitoring. As already mentioned, I differentiate the market offer for private and institutional use. The analysis of advantages and disadvantages of individual's and company's transition to the cloud and comparison of specific requirements of individuals and companies are another outcomes from this analysis.

This thesis deals with application of Competitive Intelligence methods in market environment of colocation datacenters in the Czech Republic. The main objective is to analyze competitive environment of colocation datacenters in the Czech Republic. In the theoretical part of this thesis Competitive Intelligence and analytical methods are described. Typical colocation services including cloud computing are described. In the following part the topic of datacenters, their basic types and classification are discussed. Two related topics of outsourcing and Service Level Agreement are also mentioned. The practical part of this thesis is divided into three areas. The first area deals with development of the world datacenter market and discusses trends in the industry. The second area deals with the description of the market structure and analysis of the wider competitive environment of colocation companies in the Czech Republic. This competitive environment was analyzed using Porter five forces analysis. The third thematic area is dedicated to competitive analysis of six colocation companies operating on the territory of Prague. These companies were analyzed with the use of competitive analysis method. In conclusion there are given relevant resources in terms of Competitive Intelligence for the colocation companies that were analyzed in the final part of thesis.

The thesis deals with the field called Integration as a Service (IaaS), where the essence is to provide integration functionality in cloud computing environment. The goal of the thesis is to research from the publicly available sources, whether capabilities of the services in the field of application integration, which are labeled as integration as a service, match by the market leaders functionality of middleware. In order to achieve the goal Integration as a Service is defined and the key capabilities for these kinds of services are found. It's followed with identification of the main providers and analysis of their services. Capabilities, which should be achieved by the IaaS services, are based upon the definitions and characteristics of middleware, cloud computing and services in general. Together they create a standard, which can be used to evaluate these services. That's utilized in the practical part, where the analysis of the particular IaaS services takes place. Also the questions regarding expected capabilities of the services, their fulfillment and the level of publicly available information about the services are answered in this part.

The increasing needs for computational power in areas such as weather simulation, genomics or Internet applications have led to sharing of geographically distributed and heterogeneous resources from commercial data centers and scientific institutions. Research in the areas of utility, grid and cloud computing, together with improvements in network and hardware virtualization has resulted in methods to locate and use resources to rapidly provision virtual environments in a flexible manner, while lowering costs for consumers and providers. However, there is still a lack of methodologies to enable efficient and seamless sharing of resources among institutions. In this work, we concentrate in the problem of executing parallel scientific applications across distributed resources belonging to separate organizations. Our approach can be divided in three main points. First, we define and implement an interoperable grid protocol to distribute job workloads among partners with different middleware and execution resources. Second, we research and implement different policies for virtual resource provisioning and job-to-resource allocation, taking advantage of their cooperation to improve execution cost and performance. Third, we explore the consequences of on-demand provisioning and allocation in the problem of site-selection for the execution of parallel workloads, and propose new strategies to reduce job slowdown and overall cost.