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Foxwell, Harry
George Mason University
Fairfax, Virginia
 
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Harry J. Foxwell is an associate professor at George Mason University’s College of Engineering and Computing, where he teaches graduate courses in cloud computing and data analytics. He previously worked for Oracle and Sun Microsystems as a principal systems engineer supporting operating systems and virtualization technologies.

He is the coauthor of several technical articles and books, including Slicing and dicing servers: a guide to virtualization and containment technologies and The Sun BluePrints guide to Solaris Containers: virtualization in the Solaris Operating System. He also coauthored Pro OpenSolaris, Oracle Solaris 11 system administration: the complete reference, and Oracle Solaris 11.2 system administration handbook, and recently authored Creating good data.

He earned his doctorate in information technology, in 2003, from George Mason University (Fairfax, VA). Harry is a Vietnam veteran; he served as a platoon sergeant in the US Army’s 1st Infantry Division from 1968-1969. He was awarded an Air Medal and a Bronze Star.

For additional information about Harry, please visit his home page: http://cs.gmu.edu/~hfoxwell.

 
 
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- 10 of 39 reviews

   
   Statistics for data scientists: an introduction to probability, statistics, and data analysis
Kaptein M., van den Heuvel E., Springer International Publishing, Cham, Switzerland, 2022. 348 pp.  Type: Book (978-3-030105-30-3)

One would hope that professionals calling themselves data scientists would have extensive training in both statistical theory and practice. Yet current data analytics curricula, while naturally including at least one general statistics...

Jul 7 2022  
   Dive into algorithms: a python adventure for the intrepid beginner
Tuckfield B., No Starch Press, San Francisco, CA, 2021. 248 pp.  Type: Book (978-1-718500-68-6)

Algorithms--their concepts, theory, and methods--are not limitedto computer science. My recipe for making chili for dinner is analgorithm, as are my lesson plans for my courses, and the Internal Revenue Service (IRS) ...

May 2 2022  
   Introduction to machine learning in the cloud with python: concepts and practices
Gupta P., Sehgal N., Springer International Publishing, New York, NY, 2021. 303 pp.  Type: Book (978-3-030712-69-3)

Cloud computing vendors, such as Amazon, IBM, Google, Oracle, Microsoft, and others, not only provide storage and compute resources for applications, but data analytics services as well. These platforms support various dataset exploration and mode...

Feb 24 2022  
   Practical natural language processing with Python: with case studies from industries using text data at scale
Sri M., Apress, New York, NY, 2021. 272 pp.  Type: Book (978-1-484262-45-0)

Understanding spoken and written communication can be difficult, even for humans. Creating linguistic processes and algorithms for computers is extremely challenging. Natural language processing (NLP) technology is more common than mos...

Nov 9 2021  
  An analysis of performance evolution of Linux’s core operations
Ren X., Rodrigues K., Chen L., Vega C., Stumm M., Yuan D.  SOSP 2019 (Proceedings of the 27th ACM Symposium on Operating Systems Principles, Huntsville, Ontario, Canada, Oct 27-30, 2019) 554-569, 2019.  Type: Proceedings

The GNU Linux operating system (OS) has become, for better or worse, the dominant OS for computer science (CS) research, for deploying large-scale Internet/cloud infrastructures and supercomputers, as well as for some small-scale smart...

Jan 6 2020  
   Data-driven science and engineering: machine learning, dynamical systems, and control
Brunton S., Kutz J., Cambridge University Press, New York, NY, 2019. 492 pp.  Type: Book (978-1-108422-09-3)

Gartner, an information technology (IT) research organization, tracks emerging and maturing technologies using its famous “hype cycle” graphics [1]. Data science, big data, and related analytics have followed Gartne...

Nov 18 2019  
   Machine learning for decision makers: cognitive computing fundamentals for better decision making
Kashyap P., Apress, New York, NY, 2017. 355 pp.  Type: Book (978-1-484229-87-3)

Machine learning (ML) encompasses a myriad of technical, business, social, and scientific methods and disciplines. Project managers and technology experts are faced with an ever-expanding field of new concepts, vocabulary, algorithms, ...

Apr 26 2019  
   Next-generation big data: a practical guide to Apache Kudu, Impala, and Spark
Quinto B., Apress, New York, NY, 2018. 557 pp.  Type: Book (978-1-484231-46-3)

Since the introduction of Apache Hadoop nearly a decade ago, new tools and methods for analyzing large datasets have evolved rapidly, dramatically improving performance and providing easier and more powerful query languages....

Apr 10 2019  
  Exascale scientific applications: scalability and performance portability
Straatsma T., Antypas K., Williams T., Chapman&Hall/CRC, Boca Raton, FL, 2018. 608 pp.  Type: Book (978-1-138197-54-1)

The TOP500 website (https://www.top500.org) lists the current most powerful computer systems on the planet. The top system at the end of 2017 was capable of more than 125000 teraflops (trillions of floating point operations per second)...

Jul 23 2018  
   Practical LXC and LXD: Linux containers for virtualization and orchestration
Kumaran S. S., Apress, New York, NY, 2017. 159 pp.  Type: Book (978-1-484230-23-7)

Virtualized environments, both virtual machines (VMs) and containers, have become the essential technologies of elastic cloud computing services. System administrators of such services frequently encounter Linux-based virtualization, i...

Jan 3 2018  
 
 
 
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