Service Oriented Architecture (SOA) is an architectural paradigm that allows building of infrastructures for diverse application interaction and integration via services across different platforms, domains of technology and locations. SOA differs from traditional architectures, as it focuses on integrating capabilities that are distributed and implemented using a mixture of technologies. SOA provides a set of methodologies and strategies to accomplish interoperability and integration among different technology stacks.   Vattenfall is the fifth the largest energy supplier within Europe. Having operational systems in different countries brings the challenge of integrating all these distributed systems and this integration is a vital requirement for Vattenfall. The company is currently using Microsoft proprietary products to achieve integration across different technological platform, but requires a better integration infrastructure which is easily extensible and cost effective.   This thesis investigates the impact of implementing Service Oriented Architecture (SOA) using open source or proprietary software products within Vattenfall, from technological and financial perspectives. For this purpose, different technical and non-technical function blocks are identified which are essential for the implementation of SOA. These function blocks are mapped with SOA solutions provided by Red Hat’s JBoss Open Source SOA Platform and Microsoft’s SOA Platform. After mapping, a vendor specific technical and non-technical comparative analysis is carried out based on the function blocks, highlighting the strengths and weaknesses of each vendor.   Finally, an evaluation scheme is purposed based on the technical comparative analysis of vendors, SOA solution cost and SOA competence required. The results from this evaluation scheme are used to recommend the best solution vendor for Vattenfall Nordic. Moreover, this evaluation scheme can also be used to facilitate management in arriving at an appropriate decision about implementation of SOA, while remaining within their requirements and constraints.

The current proliferation of mobile systems, such as smart phones, PDA and tablets, has led to their adoption as the primary computing platforms for many users. This trend suggests that designers will continue to aim towards the convergence of functionality on a single mobile device. However, this convergence penalizes the mobile system in computational resources such as processor speed, memory consumption, disk capacity, as well as in weight, size, ergonomics and the user’s most important component, battery life. Therefore, this current trend aims towards the efficient and effective use of its hardware and software components. Hence, energy consumption and response time are major concerns when executing complex algorithms on mobile devices because they require significant resources to solve intricate problems. Current cloud computing environments for performing complex and data intensive computation remotely are likely to be an excellent solution for off-loading computation and data processing from mobile devices restricted by reduced resources. In cloud computing, virtualization enables a logical abstraction of physical components in a scalable manner that can overcome the physical constraint of resources. This optimizes IT infrastructure and makes cloud computing a worthy cost effective solution. The intent of this thesis is to determine the types of applications that are better suited to be off-loaded to the cloud from mobile devices. To this end, this thesis quantitatively and qualitatively compares the performance of executing two different kinds of workloads locally on two different mobile devices and remotely on two different cloud computing providers. The results of this thesis are expected to provide valuable insight to developers and architects of mobile applications by providing information on the applications that can be performed remotely in order to save energy and get better response times while remaining transparent to users.

This work deals with the modifications of project MeDiMed, which ceased to meet the requirements it imposed. In the first part the main objectives, targets and methods to achieve them are defined. The second part deals with the theory that is needed to understand the issue. In the practical part, which is based on the theory is prepared SWOT analysis and the modified HOS-8 analysis of the current state, whose results are then analyzed. The next section presents design of new solution. The conclusion summarizes all the proposed solutions and knowledge that have been achieved in this work.

This work deals with the modifications of project MeDiMed, which ceased to meet the requirements it imposed. In the first part the main objectives, targets and methods to achieve them are defined. The second part deals with the theory that is needed to understand the issue. In the practical part, which is based on the theory is prepared SWOT analysis and the modified HOS-8 analysis of the current state, whose results are then analyzed. The next section presents design of new solution. The conclusion summarizes all the proposed solutions and knowledge that have been achieved in this work.

The task of this project is to build application for managing of multimedia data in enclosed wireless networks and to present this data to the user. In model case it can be for example city guide - on position given by GPS are presented information about surrounding scene. Application must be capable of downloading data into Pocket PC - PDA and present them to the user as user friendly application.