Automatic content generation aims on developing an intelligent tutoring system in tamillanguage. This system focuses on delivering personalized content in Tamil language to an individual user needs based on their learning abilities and interests. This paper deals with automatic classification of Tamil documents and also the information extraction from those documents to construct the knowledge base. Documents are repositories of knowledge. There are numerous documents available and effective search in documents is time consuming. To make document search a simpler task, we need to perform document categorization. Document category can be found out using various techniques. In this paper, Naive Bayes (NB) algorithm is used to classify Tamil documents to one of pre-defined categories. Experiments are used to evaluate the Naive Bayes categorizer. The experimental results show that the Naive Bayes classifier performs well and its effectiveness is achieved with 89.8% accuracy. Informational words or sentences of the documents are then extracted using heuristic rules to fill up the predefined templates. An individual user's interests are identified and recorded to create a user profile. A user profile is specific to a user and is subjected to change over time. The Topic categorizer is used to categorize the topic based on user's query. The topic analyzer is used to analyze the user's profile and evaluate the user's knowledge using intelligent evaluator system. Based on the user's knowledge, intelligent evaluator system makes a decision to suggest the Location or to suggest a new topic retrieved from the knowledge base. Then the personalized content will be generated based on the knowledge level of the user. The experimental results show that the Content Generator performs well and its effectiveness is achieved with 82.35% accuracy.
Cloud computing is widely accepted nowadays by the industry as well as academic people as a new generation computing paradigm. Cloud computing has become popular because of its characteristic features like on-demand self-service, ubiquitous network access, resource pooling, rapid elasticity, metered service, etc. But, security challenges are still among the biggest obstacles when considering the adoption of cloud services.Most of the cases, it is seen that the merits of the could computing itself are the root causes of the security issues, and hence it is becoming difficult to tackle. Thus, lots of research activities are happening in the area of cloud computing to make cloud a secure place to keep your sensitive or critical data. This paper proposes a framework for preserving data security in a hybrid cloud environment using trusted multiple cloud service providers. A multi-cloud architecture is used to secure the data of the cloud customer, and the framework uses the trust factor for a dynamic and safe selection of the service providers.Index Terms-Cloud, data security, data splitting, hybrid cloud, the trust factor.Brokers can get real-time cloud service performance details, real-time feedback from many cloud users, real time information about the capacity of different cloud service providers, real-time comparison of the ability of different providers who provide same kind of services. Compared to Cloud Auditor, has a clear, complete picture of a cloud computing paradigm. However, as the Cloud Broker is not a certified authority, there is a chance that the broker is biased.
Abstract.One of the challenging issues in Cloud computing Environment is meeting the Service Level Agreement (SLA). The SLA is an agreement signed between the service provider and the service consumer for accessing the service provided by the service provider over the internet. We can investigate the negotiation strategy between the service provider and the service consumer through the third party called a Broker. In many approaches SLA is designed and trusted through the measurement of various non-functional requirements such as response time of job, CPU usage, memory usage and the storage used by the consumer. Main focus of the business process is satisfying the customer need by quick response. In our proposed approach for satisfying the service consumer (customer), parameter such as response time of deadline based job is considered. The response time of the job is affected due to improper scheduling of the job. Therefore a novel hierarchical scheduling with job prioritization is used to give more priority for deadline based jobs. This approach will satisfy the service consumer and meet the SLA by increasing the performance of the scheduling algorithm.
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