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  Browse All Reviews > Information Systems (H) > Database Management (H.2) > Systems (H.2.4) > Distributed Databases (H.2.4...)  
  1-10 of 57 Reviews about "Distributed Databases (H.2.4...)": Date Reviewed
  Building blockchain projects
Prusty N., Packt Publishing, Birmingham, UK, 2017. 404 pp.  Type: Book (978-1-787122-14-7)

Readers will get a first look at how to access the Ethereum blockchain and working code, as well as how to “do” something with this technology. Unlike Bitcoin, the preceding cryptocurrency, Ethereum can execute arbi...

May 28 2019
  An online integrated resource allocator for guaranteed performance in data centers
Divakaran D., Le T., Gurusamy M. IEEE Transactions on Parallel and Distributed Systems 25(6): 1382-1392, 2014.  Type: Article

Network resources can easily become the bottleneck in a data center (DC), potentially corrupting service-level objectives. Yet most previous work on resource allocation in virtualized DCs focuses only on server resources, ignoring comm...

Sep 8 2015
  Joe Celko’s complete guide to NoSQL: what every SQL professional needs to know about non-relational databases
Celko J., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2013. 244 pp.  Type: Book (978-0-124071-92-6)

Most contemporary database professionals have been educated on relational models and products; however, most lack experience with legacy data systems, and many have little experience with the latest non-relational approaches....

Mar 4 2014
  Grid and cloud database management
Fiore S., Aloisio G., Springer Publishing Company, Incorporated, New York, NY, 2011. 363 pp.  Type: Book (978-3-642200-44-1)

In the last 20 years, cloud and grid computing have become paradigms for accessing and managing geographically distributed content across a network. While these paradigms are very relevant, they bring a series of new challenges to secu...

Feb 22 2012
  Hadoop: the definitive guide (2nd ed.)
White T., O’Reilly Media, Inc., Sebastopol, CA, 2010. 624 pp.  Type: Book (978-1-449389-73-4)

MapReduce is a programming model for dealing with large-scale data volumes. The model is a two-phased approach in which data distribution phases (map operations) are succeeded by integration phases (reduce operations). MapReduce progra...

Feb 21 2012
  Principles of distributed database systems (3rd ed.)
Özsu M., Valduriez P., Springer Publishing Company, Incorporated, New York, NY, 2011. 864 pp.  Type: Book (978-1-441988-33-1)

This is an excellent book that provides an in-depth overview of all issues related to distributed data management. I was eager to read it, since not many books focus on distributed databases, and since the best reference in the field [...

Aug 26 2011
  Distributed real time database systems: background and literature review
Shanker U., Misra M., Sarje A. Distributed and Parallel Databases 23(2): 127-149, 2007.  Type: Article

Distributed real-time database systems (DRTDBS) are used for applying database systems technology to real-time systems....

Jul 3 2008
  Mobile database systems (Wiley Series on Parallel and Distributed Computing)
Kumar V., Wiley-Interscience, 2006. 320 pp.  Type: Book (9780471467922)

This survey of research on data management for wireless applications focuses on new approaches to providing database services in an environment where the client (for example, a smart phone or personal digital assistant (PDA)) is moving...

Nov 17 2006
  Adaptive pull-based policies for wide area data delivery
Bright L., Gal A., Raschid L. ACM Transactions on Database Systems 31(2): 631-671, 2006.  Type: Article

Bright, Gal, and Raschid deal with the policies used for timely propagation of up-to-date information to thousands of clients over a wide area network. It seems as if pull-based data delivery is becoming the preferred solution for rapi...

Sep 27 2006
  Databases, information systems, and peer-to-peer computing: Second International Workshop, DBISP2P 2004, Toronto, Canada, August 29-30, 2004, revised selected papers (LNCS 3367)
Ng W., Ooi B., Ouksel A., Sartori C., Springer-Verlag New York, Inc., Secaucus, NJ, 2005. 231 pp.  Type: Book (9783540252337)

When you think of peer-to-peer (P2P) computing, what immediately comes to mind? Do you think of two computers communicating with each other? Do you think of the online music-sharing powerhouse, the site that got into legal ...

Jun 2 2006
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