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Foxwell, Harry
George Mason University
Fairfax, Virginia
 
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Harry J Foxwell is a principal consultant at Oracle’s Public Sector division in the Washington, DC area, where he is responsible for solutions consulting and customer education on Cloud Computing, Big Data, Operating Systems, and virtualization technologies. Harry has worked for Oracle and for Sun Microsystems (acquired by Oracle in 2009) since 1995. Prior to that, he worked as a UNIX and Internet specialist for Digital Equipment Corporation; he has worked with UNIX systems since 1979 and with Linux systems since 1995.

Harry is coauthor of two Sun BluePrints: “Slicing and Dicing Servers: A Guide to Virtualization and Containment Technologies” (Sun BluePrints Online, October 2005), and “The Sun BluePrints Guide to Solaris Containers: Virtualization in the Solaris Operating System” (Sun BluePrints Online, October 2006). He coauthored Pro OpenSolaris (Apress, 2009), Oracle Solaris 11 System Administration: The Complete Reference (Oracle Press, 2012), and Oracle Solaris 11.2 System Administration Handbook (Oracle Press, 2015). He blogs about Cloud Computing and other technologies at http://http://blogs.oracle.com/drcloud/.

He earned his doctorate in information technology in 2003 from George Mason University (Fairfax, VA), and has since taught graduate courses there in operating systems, computer architecture and security, and electronic commerce.

Harry is a Vietnam veteran; he served as a platoon sergeant in the US Army’s 1st Infantry Division in 1968-1969. He was awarded an Air Medal and a Bronze Star.

He is also an amateur astronomer and member of the Northern Virginia Astronomy Club. In addition, Harry is a USA Table Tennis (USATT) member and competitive table tennis player, and is also a US Soccer Federation (USSF) soccer referee.

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

 
 
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- 10 of 35 reviews

   
  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 smartphone and In...

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 Gartner’s iconic seq...

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, and even leg...

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). That this ...

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, in particular...

Jan 3 2018  
   Unix: the textbook (3rd ed.)
Sarwar S., Koretsky R.,  Chapman & Hall/CRC, Boca Raton, FL, 2017. 1380 pp. Type: Book (978-1-482233-58-2)

This 1380-page, five-pound behemoth of a “textbook” is unlikely to burden the backpacks of operating system (OS) students, but it certainly provides a definitive academic and professional reference for one of the most pervasive softwar...

Aug 29 2017  
   Big data analytics: methods and applications
Pyne S., Rao B., Rao S.,  Springer International Publishing, New York, NY, 2016. 276 pp. Type: Book (978-8-132236-26-9), Reviews: (1 of 2)

Big data analytics has generated much research attention in the past decade, focusing on the architectural and methodological challenges of processing enormous datasets and extreme rates of data generation and collection (two of the three “V...

Apr 26 2017  
   Computer Go
Daniel Bump. YouTube, 00:51:53, published on Aug 2, 2016, Stanford, https://www.youtube.com/watch?v=8B3_UouNZo8. Type: Video

Daniel Bump of Stanford University reviews in this lecture the history of efforts to develop programs that play the ancient Asian game of Go. Such programs have been more difficult than those for chess, due to the greater complexity of pattern rec...

Jan 31 2017  
  The book of R: a first course in programming and statistics
Davies T.,  No Starch Press, San Francisco, CA, 2015. 432 pp. Type: Book (978-1-593276-51-5), Reviews: (1 of 2)

A recent survey by O’Reilly Media [1] finds the R language [2] among the top big data analysis tools, along with SQL. Interest in this open-source software project has increased dramatically as organizations learn to exploit the ever-increas...

Oct 6 2016  
 
 
 
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