Papers by Phyllis Ford-Booker
Shared Storage Software Defined Data Centers: Analyzing VM Migration Based on Application Workloads
2018 IEEE Global Communications Conference (GLOBECOM), 2018
Enterprise data center architectures have gone through a major change during the last couple of y... more Enterprise data center architectures have gone through a major change during the last couple of years with widespread developments of software defined platforms and virtualization technologies, in the form of storage virtualization and network virtualization. As a consequence, the industries are gradually being shifted towards a shared storage software defined data center (SDDC) platform, where all the resources like computing, storage and network are virtualized within a single box and managed by a single controller. However, with such kind of shared storage architecture, network can be a performance bottleneck, as the network also needs to carry the storage workload. Because of this reason, virtual machine (VM) migration over a started storage SDDC platform can be an issue in the presence of storage workload. In this paper, we provide a thorough performance study of VM migration performance over shared storage SDDC platform under various different types of workloads. We first discuss a methodology to develop a shared storage SDDC platform using open source softwares and tools, and then perform thorough experimentation of VM migration performance in terms of application quality of service (QoS) under various different workloads. We observe that VM migration with either network or storage workload may get affected due to shared storage data synchronization over the network. From this performance analysis, we conclude that although shared storage SDDC provides a flexible, cost-effective, energy-efficient and easy-manageable solution for data centers, there are multiple performance bottlenecks that need to be addressed for getting the best out of it.
Journal of the National Medical Association, 2002
This preliminary investigation examined the predictive accuracy of six neuropsychological tests i... more This preliminary investigation examined the predictive accuracy of six neuropsychological tests in a population of non-brain-injured African Americans. False positives were unacceptably high on five of the neuropsychological tests administered. These pilot data raise important questions about the utility of neuropsychological test norms with groups dissimilar in sociocultural background to the normative population. These findings are examined in terms of the relative merits of the race-homogenous and race-comparative paradigms and underscore the importance of conducting normative studies that involve ethnic minority populations.
Using Unsupervised Anomaly Detection to Analyze Physiological Signals for Emotion Recognition
An increase in the collection of physiological signals, whether done implicitly in wearable or Io... more An increase in the collection of physiological signals, whether done implicitly in wearable or IoT device or explicitly in experimental and laboratory environments, creates the need for development of smart systems and tools capable of data analysis with limited expert knowledge. For instances in which an expert is absolutely necessary, a method for filtering out uninteresting data is necessary to reduce the amount of data storage necessary as well as reduce the amount of data the expert will have to analyze. Anomaly detection, specifically unsupervised anomaly detection can be used to design a tool or even as a tool to help remedy these issues. This paper will focus on how unsupervised anomaly detection can be utilized for the development of such systems. A systematic, robust, and customizable approach will be presented and preliminary results will be shown that open the door for future research and algorithm development.
Journal of the …, 2002
This preliminary investigation examined the predictive accuracy of six neuropsychological tests i... more This preliminary investigation examined the predictive accuracy of six neuropsychological tests in a population of non-brain-inljured African Americans. False positives were unacceptably high on five of the neuropsychological tests administered. These pilot data raise important questions about the utility of neuropsychological test norms with groups dissimilar in sociocultural background to the normative population. These findings are examined in terms of the relative merits of the race-homogenous and race-comparative paradigms and underscore the importance of conducting normative studies that involve ethnic minority populations. U Natl Med Assoc. 2002;94:591-601.) I am an inviisible man. No, I am not a spook like those wvho haunted Eidgar Allan Poe; nor am I one of your Hollyzvood mov)ie ectoplasms. I am a man of substance, oJ flesh and bone, fiber, and liquids-and I might even be said to possess a mind. I am invisible, understand, simply because people refuse to see me. Like the bodiless headls you
Journal of the National Medical Association, 2002
This preliminary investigation examined the predictive accuracy of six neuropsychological tests i... more This preliminary investigation examined the predictive accuracy of six neuropsychological tests in a population of non-brain-injured African Americans. False positives were unacceptably high on five of the neuropsychological tests administered. These pilot data raise important questions about the utility of neuropsychological test norms with groups dissimilar in sociocultural background to the normative population. These findings are examined in terms of the relative merits of the race-homogenous and race-comparative paradigms and underscore the importance of conducting normative studies that involve ethnic minority populations.
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Papers by Phyllis Ford-Booker