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MapReduce is a popular programming model for distributed data processing. Extensive research has been conducted on the reliability of MapReduce, ranging from adaptive and on-demand fault-tolerance to new fault-tolerance models. However, realistic benchmarks are still missing to analyze and compare the effectiveness of these proposals. To date, most(More)
There is a growing trend of using cloud environments for ever growing storage and data processing needs. However, adopting a cloud computing paradigm may have positive as well as negative effects on the data security of service consumers. This paper primarily aims to highlight the major security issues existing in current cloud computing environments. We(More)
Security is an important quality attribute for Service Oriented Architecture (SOA) based system. However, there is no sufficient support for modelling security-centric concerns for SOA based application. This paper presents a metamodel called SoaML4Security, which introduces QoS concepts into Service oriented Modelling Language (SoaML) in order to support(More)
Fast growth of application data has led the migration of existing reporting applications to Big data open source technologies such as Hive and Hadoop. Their wide acceptance also considers their use for servicing on-line analytic queries. Ensuring performance assurance of Hive queries will be required to maintain desired level of application performance.(More)
During dialog with a customer for addressing his/her complaint the chatbot may pose questions or observations based on its underlying model. Sometimes the questions or observations posed may not be relevant given the nature of complaint and the current set of beliefs that the customer holds. We propose a model that uses machine-learning mechanism to(More)