cloudcomputing is still an emerging field experiencing rapid advancement in both industry and academia. cloudcomputing has solved many problems initially faced by internet application developers such as acquisition ...
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cloudcomputing is still an emerging field experiencing rapid advancement in both industry and academia. cloudcomputing has solved many problems initially faced by internet application developers such as acquisition of a server with a fixed capacity to handle expected peak application demand which led to under-utilization of provisioned resources, by enabling a new consumption and delivery model for IT services. It involves provisioning of dynamically scalable and virtualized resources as a service over the Internet. Evaluation of algorithms and policies in an exhaustive manner directly on a cloud is infeasible as it involves a lot of time and effort. Moreover, utilization of real cloud infrastructure limits the experiment to the scale of the infrastructure. A desirable alternative would be utilization of simulation tools that enables evaluation of a hypothesis in a repeatable, controlled and timely manner prior to software development in a cloud environment. Taking into consideration these issues and the ever-growing popularity of OpenStack, in this paper we propose OpenSim a simulator of OpenStack services. It has been developed by the authors of this paper with the intention of simulating new algorithms and also to enable a user to study the behavior of an application running under various deployment configuration in an OpenStack environment.
Hybrid clouds are increasingly becoming important in cloudcomputing. We see a rapid raise in the demand for a secure infrastructure that would enable sharing of computing resources between multiple hybrid cloud deplo...
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The healthy development of the Internet largely depends on the online advertisement which provides the financial support to the Internet. Click fraud, however, poses serious threat to the Internet ecosystem. It not on...
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The healthy development of the Internet largely depends on the online advertisement which provides the financial support to the Internet. Click fraud, however, poses serious threat to the Internet ecosystem. It not only brings harm to the advertisers, but also damages the mutual trust between advertiser and ad agency. Click fraud prediction is a typical bigdata application in that we normally need to identify the malicious clicks from massive click logs, therefore efficient detection methods in bigdata framework are much desired to combat this fraudulent behavior. In this paper, we propose a three-stage filtering system to attack click fraud. The serialized filters effectively detect the malicious clicks with decreasing confidence that can satisfy both advertisers and content providers.
We introduce the component data for E-portfolio(Electronic portfolio). E-portfolio) is used to cllect works of students and aimed at learning evaluation, so the components of E-portfolio must be standardized. We do so...
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We introduce the component data for E-portfolio(Electronic portfolio). E-portfolio) is used to cllect works of students and aimed at learning evaluation, so the components of E-portfolio must be standardized. We do some research on the component data structure of E-portfolio. Based on the features of E-portfolio we use xml file as the storage format of E-portfolio. Thus we can define xsd file which is the structure file of xml file for the users. People can build their E-portfolio on the structure xsd file. In this way E-portfolio based on xsd structure are in same format. That helps for further E-portfolio share and evaluation.
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