Rapid growth of internet technology made many IaaS providers arise across the globe to meet the needs of small IT companies. Number of IT companies started using resources of IaaS provider due to elastic and pay as you go nature. Increasing number of cloud providers results in difficulty for requester to select suitable cloud provider based on requirements. In this paper we present a broker based architecture for selecting suitable cloud provider from multiple providers. The broker measure the quality of each cloud provider and prioritize them based on the needs of the requester. The experiment is conducted using cloudsim simulator shows that proposed architecture selects suitable cloud provider.
E-learning has changed the way of traditional education through anytime and anywhere learning experience. With the widespread adoption of Web services technology, the legacy e-learning systems are being exposed as reusable services on the Web. The increasing e-learning services on the Web prompts a research in selecting the most suitable elearning service for the learner's needs. Quality of Service (QoS) is a decisive factor to discriminate e-learning services offering similar services/resources. In this paper, the authors broadly classify e-learning systems/applications into three groups based on the nature of learning experience and processes involved. Based on the e-learning system's taxonomy, the paper defines a QoS model with six categories of QoS parameters to discriminate e-learning services. The paper proposes an architecture and ranking mechanism to select the most suitable e-learning service for the learner based on his QoS requirements and preferences.
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