DCJul 26, 2015
Modeling Website Workload Using Neural NetworksYasir Shoaib, Olivia Das
In this article, artificial neural networks (ANN) are used for modeling the number of requests received by 1998 FIFA World Cup website. Modeling is done by means of time-series forecasting. The log traces of the website, available through the Internet Traffic Archive (ITA), are processed to obtain two time-series data sets that are used for finding the following measurements: requests/day and requests/second. These are modeled by training and simulating ANN. The method followed to collect and process the data, and perform the experiments have been detailed in this article. In total, 13 cases have been tried and their results have been presented, discussed, compared and summarized. Lastly, future works have also been mentioned.
CRNov 14, 2014
Pouring Cloud Virtualization Security Inside OutYasir Shoaib, Olivia Das
In this article, virtualization security concerns in the cloud computing domain are reviewed. The focus is toward virtual machine (VM) security where attacks and vulnerabilities such as VM escape, VM hopping, cross-VM side-channel, VM-based rootkits (VMBRs), VM mobility, and VM remote are mentioned and discussed according to their relevance in the clouds. For each attack we outline how they affect the security of cloud systems. Countermeasures and security measures to detect or prevent them through techniques such as VM detection, GuardHype, VM introspection, VM image scanning, etc. are also discussed. Through the surveyed work we present a classification of VM threats within the clouds. Finally, we include our observations and those of other researchers on this matter of cloud virtualization security.