Valor de las seis hornadas
MINISTERIO DE INSTRUCCIÓN PUBLICA Y BELLAS – ARTES
[1] J. Gantz and D. Reinsel, “The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East”, IDC IVIEW, pp. 1-16, 2012
[2] Gartner, Inc., “Hunting and Harvesting in a Digital World”, in Gartner CIO Agenda
Report, pp. 1-8, 2013
[3] Amazon Web Services, “High Performance Computing (HPC) on AWS”, http://aws.amazon.com/hpc-applications/
[4] J. Gantz and D. Reinsel, “The Digital Universe Decade – Are You Ready?”, IDC IVIEW, pp. 1-15, 2010
[5] Ch.Vecchiola1, S. Pandey, R.Buyya, “High-Performance Cloud Computing: A View of Scientific Applications”, in the 10th International Symposium on Pervasive Systems,
Algorithms and Networks I-SPAN, IEEE Computer Society, pp. 4-16, 2009
[6] J. Dean and S. Ghemawat, “MapReduce: Simple Data Processing on Large Clusters”, in OSDI, pp. 1-12. 2004
[7] Hadoop: http://hadoop.apache.org/
[8] S. Krishman, M. Tatineni, and C. Baru, “MyHaddop – Hadoop-on-Demand on Traditional HPC Resources”, in the National Science Foundation’s Cluster Exploratory Program, pp. 1-7, 2011
[9] E. Molina-Estolano, M. Gokhale, C. Maltzahn1, J. May, J. Bent, S. Brandt, “Mixing Hadoop and HPC Workloads on Parallel Filesystems”, in the 4th Annual Workshop on
Petascale Data Storage, pp. 1-5, 2009
[10] C. Cranor, M. Polte, and G. Gibson, “HPC Computation on Hadoop Storage with PLFS”, Parallel Data Laboratory at Carnegie Mellon University, pp. 1-9, 2012 [11] Y. Xiaotao, L. Aili, and Z. Lin, “Research of High Performance Computing with Clouds”, in the Third International Symposium on Computer Science and Computational
Technology (ISCSCT), pp. 289-293, 2010
[12] KVM:http://www.linux-kvm.org/page/Main_Page [13] VMware ESXi: http://www.vmware.com/
[14] D. Boulter, “Simplify Your Journey to the Cloud”, Capgemini and SOGETI, pp. 1- 8, 2010.
[15] P. Mell and T. Grance, “The NIST Definition of Cloud Computing”, National Institute of Standards and Technology, pp. 1-3, 2011
[16] A. E. Youssef, “Exploring Cloud Computing Services and Applications”, Journal of
Emerging Trends in Computing and Information Sciences, vol. 3, no. 6, pp. 838-
847, 2012
95 Internetworking, pp. 1-5, 2009
[18] ISACA, “Cloud Computing: Business Benefits with Security, Governance and Assurance Perspectives”, pp. 1-10, 2009
[19] A. T. Velte, T. J. Velte, R. C. Elsenpeter,”Cloud Computing, A practical approach”,1st ed., USA : McGraw-Hills, 2009
[20] Amazon Web Services: http://aws.amazon.com/ [21] Google Cloud Platform: https://cloud.google.com/
[22] Microsoft Cloud Services: http://www.microsoft.com/enterprise/it- trends/cloud- computing/default.aspx?Search=true#fbid=33S2kMNT99z
[23] Open Source Software for Building Private and Public Clouds: http://www.openstack.org
[24] I. Menken, and G. Blokdijk, “Cloud Computing Virtualization Specialist Complete Certification Kit - Study Guide Book and Online Course”, Emereo Pty Ltd, 2009 [25] M. Portnoy, Virtualization Essentials, John Wiley & Sons, 2012
[26] K. Scarfone, M. Souppaya, and P. Hoffman, “Guide to Security for Full Virtualization Technologies”, National Institute of Standards and Technology, 2011
[27] D. Dale, “Server and Storage Virtualization with IP Storage”, Storage Networking
Industry Association (SNIA), 2008
[28] D. Marinescu and R. Kroger; “State of the Art in Autonomic Computing and Virtualization”, Wiesbaden University of Applied Sciences, pp. 1-21,2007
[29] K. Koganti, E. Patnala2, S. Narasingu, J. Chaitanya,Virtualization Technology in Cloud Computing Environment, in International Journal of Emerging Technology and Advanced
Engineering, vol. 3, no. 3, 2013
[30] N. Susanta and T. Chiueh, “A Survey on Virtualization Technologies”, Department of
Computer Science at Stony Brook, 2006
[31] Virtualization: A Key to Virtualization World: http://isa.unomaha.edu/wp- content/uploads/2012/08/Virtualization.pdf
[32] “Virtualization Overview”, white paper, VMware, 2006
[33] N. Alam, “Survey on Hypervisors”, School of Informatics and Computing at Indiana
University, 2011
[34] C. D. Graziano, “A Performance Analysis of Xen and KVM Hypervisors for Hosting the Xen Worlds Project”, Digital Repository at Iowa State University, pp. 12-39, 2011
[35] N. Yaqub, “Comparison of Virtualization Performance: VMWare and KVM”, Master
Thesis, pp. 30-44, 2012
[36] “How Does Xen Work?”, white paper, Xen, 2009
[37] O. Kulkarmi, N. Xinli, and P. K. Swamy, “Cutting-Edge Perspective of Security
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Development, vo. 2, no. 3, pp. 40-45, 2012
[38] T. Hirt, “KVM – The Kernel-based Virtual Machine”, Red Hat Inc., 2010 [39] M. T. Jones, “Anatomy of a Linux Hypervisor”, IBM Corporation, 2009 [40] “VMware ESXi 5.0 Operations Guide”, white paper, VMware, 2011
[41] M. K. Kakhani, S. Kakhani, and S. R. Biradar, “Research Issues in Big Data Analytics,” Vol. 2, No. 8, pp. 228–232, 2013
[42] C. Hagen, “Big Data and the Creative Destruction of Today’s”, ATKearney, 2012 [43] “Oracle : Big Data for the Enterprise”, white paper, Oracle Corp., 2013
[44] “Oracle NoSQL Database”, white paper, Oracle Corp., 2011
[45] S. Yu, “ACID Properties in Distributed Databases”, Advanced eBusiness Transactions for B2B-Collaborations, 2009
[46] S. Gilbert and N. Lynch, “Brewer’s conjecture and the feasibility of consistent, available, partition-tolerant web services,” ACM SIGACT News, vol. 33, no. 2, p. 51, 2002
[47] A. Lakshman, P. Malik, “Cassandra - A Decentralized Structured Storage System”, ACM
SIGOPS Operating Systems Review, vol. 44, no.2, pp. 35-40, 2010
[48] G. Lars., “Introduction,” in HBase: The Definitive Guide, USA: O'Reilly Media, 2011 [49] MongoDB: http://www.mongodb.org/
[50] Apache CouchDB™: http://couchdb.apache.org/
[51] J.Bernstein, K. McMahon, “Computing on Demand—HPC as a Service: High
Performance Computing for High Performance Business”, white paper, Penguin Computing & McMahon Consulting.
[52] Y. Xiaotao, L. Aili, Z. Lin, “Research of High Performance Computing With Clouds,” International Symposium Computer Science and Computational Technology, pp. 289– 293, 2010
[53] Self-service POD Portal: http://www.penguincomputing.com/services/hpc- cloud/pod
[54] Amazon Cloud Storage: http://aws.amazon.com/ec2/reserved-instances/ [55] Amazon Cloud Drive: http://aws.amazon.com/ec2/spot-instances/ [56] Microsoft High Performance Computing for Developers:
http://msdn.microsoft.com/en-us/library/ff976568.aspx
[57] Google Cloud Storage: https://cloud.google.com/products/compute-engine [58] S. Zhou, B. Kobler, D. Duffy, and T. McGlynn, “Case Study for Running HPC Applications in Public Clouds”, in Science Cloud '10, 2012
[59] K. R. Jackson, “Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud”, in Cloud Computing Technology and Science
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(CloudCom), 2010 IEEE Second International Conference on, pp. 159-168, 2010
[60] E. Walker, “Benchmarking Amazon EC2 for High-Performance Scientific Computing”, Texas Advanced Computing Center at the University of Texas, pp. 18-23, 2008
[61] J. Ekanayake and G. Fox, “High Performance Parallel Computing with Clouds and Cloud Technologies”, School of Informatics and Computing at Indiana University, pp. 1- 20, 2009.
[62] Y. Gu and R. L. Grossman, “Sector and Sphere: The Design and Implementation of a High Performance Data Cloud”, National Science Foundation, pp. 1-11, 2008
[63] A. Gupta and D. Milojicic, “Evaluation of HPC Applications on Cloud”, Helwett-
Packard Development Company, pp. 1-6, 2011
[64] C. Evangelinos and C. N. Hill. “Cloud Computing for parallel Scientific HPC Applications: Feasibility of running Coupled Atmosphere-Ocean Climate Models on
Amazon’s EC2”, Department of Earth, Atmospheric and Planetary Sciences at
Massachusetts Institute of Technology, pp. 1-6, 2009
[65] “Dryad and DryadLINQ for Data Intensive Research”:
http://research.microsoft.com/en-us/collaboration/tools/dryad.aspx
[66] C. Fragni, M. Moreira, D. Mattos, L. Costa, and O. Duarte, “Evaluating Xen, VMware, and OpenVZ Virtualization Platforms for Network Virtualization”, Federal University of
Rio de Janeiro, pp. 1-1, 2010
[67] N. Yaqub, “Comparison of Virtualization Performance: VMWare and KVM”, Master
Thesis, pp. 30-44, 2012
[68] T. Deshane, M. Ben-Yehuda, A. Shah, and B. Rao, “Quantitative Comparison of Xen and KVM”, in Xen Summit, pp. 1-3, 2008
[69] J. Hwang, S. Wu, and T. Wood, “A Component-Based Performance Comparison of Four Hypervisors”, George Washington University and IBM T.J. Watson Research Center, pp. 1-8, 2012
[70] A. J. Younge, R. Henschel, J. T. Brown, G. Laszewski, J. Qiu, and G. C. Fox, “Analysis of Virtualization Technologies for High Performance Computing Environments”,
Pervasive Technology Institute, pp. 1-8, 2012
[71] Q. Jiang. “Open Source Iaas Community Analysis”, Eucalyptus Systems Inc., 2012 [72] I. Voras, M. Orlic, and B. Mihaljevié, “An Early Comparison of Commercial and Open-
Spurce Cloud P¨latforms for Scientific Environments”, University of Zagreb Faculty of Electrical Engineering and Computing, Zagreb, Croatia, 2012
[73] E. Caron, L. Toch, and J. Rouzaud-Cornabas, “Performance Comparison between OpenStack and OpenNebula and the multi-Cloud Architecture: Application to Cosmology”, Research Report N° 8421, 2013
[74] K. Kostantos, A. Kapsalis, D. Kyriazis, M. Themistocleous, and P. Cunha, “Open-Source IAAS Fit for Purpose: A Comparison between Openbula and OpenStack”, International
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[75] O. Sefraoui, M. Aissaoui, and M. Eleuldj, “Comparison of Multiple IaaS Cloud Platform Solutions”, Mohamed I University, 2012
[76] “Donnie Berkholz’s Story of Data3:
http://redmonk.com/dberkholz/2012/03/26/nosql-database-popularity-according-to- jaspersoft/
[77] E. Dede, M. Govindaraju, D. Gunter, R. Canon, and L. Ramakrishnan, “Performance Evaluation of a MongoDB and Hadoop Platform for Scientific Data Analysis”, SUNY Binghamton and Lawrence Berekely National Lab, 2012
[78] J. H. Lee, “Log Analysis System Using Hadoop and MongoDB”, CUBRID, 2012. [79] OpenStack: http://www.openstack.org/
[80] “OpenStack Training Guides”, white paper, OpenStack Foundation, 2013
[81] A. Sehgal, “Introduction to OpenStack: Running a Cloud Computing Infrastructure with Openstack”, in the 6th International Conference on Autonomous Infrastructure,
Management and Security, University of Luxembourg, 2012
[82] K. Pepple, Deploying OpenStack,O'Reilly Median, 2011
[83] OpenStack, “Companies Supporting the OpenStack Foundation”, http://www.openstack.org/foundation/companies/
[84] G. Sasiniveda and N. Revathi, “Data Analysis using Mapper and Reducer with Optimal
Configuration in Hadoop",International Journal of Computer Trends and Technology,
vol. no. 3, 2013
[85] D. Borthakur, “The Hadoop Distributed File System: Architecture and Design”, The
Apache Software Foundation, 2007
[86] T. White, Hadoop: The Definitive Guide, O'Reilly Media, 2010
[87] K. Shvachko, H. Kuang, S. Radia, and R. Chansler, “The Hadoop Distributed File System”, Sunnyvale, 2010
[88] H. Herodotu, “Hadoop Performance Models”, Computer Science Department at Duke University, 2011
[89] Blogclub Tworkshops,”Hadoop and MapReduce”,
http://www.alex-hanna.com/tworkshops/lesson-5-hadoop-and-mapreduce/
[90] M. G. Noll, “Benchmarking and Stress Testing and Hadoop Cluster with TeraSort, Test DFSIO & Co.”, 2011
[91] Apache Hadoop, “TestDFSIO Apache Hadoop Code Source”,
http://grepcode.com/file/repo1.maven.org/maven2/org.apache.hadoop/hadoop- mapreduce- client-jobclient/0.23.9/org/apache/hadoop/fs/TestDFSIO.java
[92] F. Rahma*, T. Adji, Widyawan, “Scalability Analysis of KVM-Based Private Cloud For IaaS”, in International Journal of Cloud Computing and Services Science, Vol.2, No.4, ppt. 288-295, 2013
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[93] T.Deshane, M. Yehuda, A. Shah, B. Rao, “Quantitative Comparison of Xen and KVM”, in Journal of Physics: Conference, 2010
[94] “Virtualizing Resource intensive Applications”, white paper, VMware, 2009
[95] “Scale-up Virtualization with Red Hat Enterprise Linux 5.4 on an HP ProLiant DL785 G6”, white paper, Redhat, 2009
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