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Cloud computing relies on virtualization technologies to provide computer resource elasticity and scalability. Despite its benefits, virtualization technologies come with serious concerns in terms of security. Although existing work focuses on specific vulnerabilities and attack models related to virtualization, a systematic analysis of known vulnerabilities for different virtualization models, including...
Business interest in deploying Software-As-A-Service (SaaS) solutions has been increasing steadily. Despite this, there is limited empirical work addressing SaaS selection factors or attempting to understand the vendors' perception of the customer preferences. In this paper, we present the results of a qualitative study on SaaS selection factors that takes into account both the customers' and the...
With the evolution of service computing ecosystems and the promises of the Cloud, there is an increasing need for service evaluation and monitoring across a wide range of QoS dimensions. Although in the literature service monitoring is tightly coupled with Service Level Agreement establishment, existing approaches do not provide a holistic model for Cloud service evaluation. In this paper, we present...
Self-employed professionals need powerful software tools to manage their daily tasks. The increasing need for mobility support in combination with the emergence of Internet-based services make SaaS solutions an attractive option for freelancers to manage their business. In this paper, we present ORBI, a SaaS solution especially designed to meet the needs of self-employed professionals that is currently...
With the emergence of cloud computing, enterprises are able to migrate and scale out their workload on public clouds. In order for Cloud providers to fulfill the customer requirements and stay competitive in the market, they should manage efficiently their shared resource pool while applying appropriate pricing schemes for billing their services. In this paper, we analyse the relationship between...
The on-line processing of high volume data streams is a prerequisite for many modern applications relying on real-time data such as global sensor networks or multimedia streaming. In order to achieve efficient data processing and scalability w.r.t. the number of distributed data sources and applications, in-network processing of data streams in an overlay network of data processing operators has been...
Processing streams of data in an overlay network of operators distributed over a wide-area network is a common idea shared by different applications such as distributed event correlation systems and large-scale sensor networks. In order to utilize network resources efficiently and allow for the parallel deployment of a large number of large-scale operator networks, suitable placement algorithms are...
Context aware systems use context information to adapt their behaviour accordingly. In order to derive high level context information from low level context, such as sensor values, context reasoning methods that correlate observable context information, are necessary. Several context reasoning mechanisms have been proposed in the literature. Usually these mechanisms are centralized, leading to suboptimal...
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