Currently users own and use many networkconnected
devices such as laptop, smartphone, or tablet. The
user creates content using the default applications in these devices. One approach is to share and ubiquitously access the contents through a social media. Nevertheless, the contents residing in these devices should be available from anywhere, without any explicit user activity; even the contents residing in a remote location should also appear to be locally available in the operating device. With this approach we believe a user’s content gets cloudified, while still remaining operable with the existing applications. In this paper we propose to cloudify a user’s content in all her mobile devices.

We present a middleware that allows a user to uniformly use the existing applications on local as well as remote content, and to also share the contents in a controlled way. The middleware hides all network activity to the user; it also makes the applications almost unaware while operating on a content residing in a remote location. To evaluate our approach in a mobile device context, we also present the efficiency measures of the
middleware in terms of latency in content-retrieval, as well as
in terms of resource usage viz. power consumption.

Current users own and use many network-connected devices viz. laptop, smartphone, or tablet. The user creates content using the default applications in these devices.

One approach is to share and ubiquitously access the contents through a social media or content community. Such an approach will however make the users dependent on these communities or social media; moreover the user may also lose privacy of her content and even ownership of her data depending on the licensing policy of each community.

We argue that the contents residing in mobile devices viz. smartphones or tablets, should be available from anywhere, without any explicit user activity. That is, a user’s content should get cloudified, while still remaining operable with the existing applications. In this thesis we propose to cloudify a user’s content in all her mobile devices.

We present as a proof of concept, a middleware that allows a user to use the existing applications uniformly, on local as well as remote content, and to also share the contents in a controlled way. The middleware hides all network activity from the user; it also makes the applications almost unaware while operating on a content residing in a remote location.

To evaluate our approach in a mobile device context, we also present the efficiency measures of the middleware in terms of latency in content-retrieval, as well as in terms of resource usage viz. power consumption.

Cloud computing is emerging in several ICT areas, including the mobile services industry. This development is known as mobile cloud computing (MCC). MCC may save mobile energy consumption and be utilized to overcome the fragmentation challenges of application developers, who must take into account various mobile operating systems. This paper introduces a novel mobile-device-independent development approach. Mobile applications will be placed into a cloud and will utilize open application programming interfaces from the telecom infrastructure. This approach, called Open Telco, enables application deployment that is fully based on cloud-computing principles. In this study, we present a business model analysis of an application case called Event Experience, using the Service, Technology, Organization, and Finance (STOF) framework.

In this thesis, the possibility to improve a company's functions and management by linking the strategic, company-level goals with day-to-day tasks is studied. The target of the study was a small software company, which employs less than 50 employees and is using agile software methods. The business and management models of the case company were studied profoundly. The model was perceived to be functioning well and serving the purposes of the company. The company uses a software tool called Agilefant.org for managing its software development projects. Agilefant is very suitable for operational management purposes. All the work efforts are logged into Agilefant. The activity logged into Agilefant was analyzed for a 13 month period. A framework was designed to link future goals with day-to-day activities in the studied company.

This thesis evaluates how the energy efficiency of the ARMv7 architecture based processors Cortex-A9 MPCpre and Cortex-A8 compare in applications such as a SIPProxy and a web server compared to Intel Xeon processors. The focus is on comparing the energy efficiency between the two architectures rather than just the performance. As the processors used in servers today have more computational power than the Cortex-A9 MPCore, several of these slower but more energy efficient processors are needed. Depending on the application, benchmarks indicate energy efficiency of 3-11 times greater for the ARM Cortex-A9 in comparison to the Intel Xeon. The topics of interconnects between processors and overhead caused by using an increasing number of processors, are left for later research.

The advances in service-oriented computing and mobile computing have paved way for pervasive computing. The vision of pervasive computing is to enable all devices to seamlessly interact with each other without the user being aware of them. Towards this end, devices provide their resources as services to other devices giving rise to complex service compositions.

However, a pervasive environment consisting of services running on heterogeneous devices is very dynamic by its nature. In other words, the devices can enter and leave a service composition at any time posing challenges to the availability and management of services.

In order to overcome these challenges, a paradigm called autonomic computing emerged. The vision of autonomic computing is to develop computing systems that can manage themselves according to high-level goals. Autonomic computing defines a set of selfmanagement properties of which self-healing is one. Translated into the context of service-oriented and pervasive computing, self-healing can be defined as the property to discover and diagnose faults in service compositions and to restore a service composition to normalcy with as little human intervention as possible.

The purpose of this thesis was to nd out how machine intelligence can be used to support the validity of existing service compositions in a pervasive environment. The main contribution is a software architecture that can be used to design and create a system that supports self-healing service compositions. Firstly, the architecture employs model-based diagnosis for the diagnosis of faulty service compositions. Secondly, the architecture uses concepts from con gurable software product families together with recommendation techniques in order to derive new valid service composition con gurations based on the diagnoses.

The software architecture was validated using a walk-through and scenarios, which are based on a simple example of a service composition.