Database Reference
In-Depth Information
38. H. Liu, Amazon Data Center Size, http://huanliu.wordpress.com/2012/03/13/amazon-
data-center-size/, 2012.
39. P. Magnusson and D. Samuelsson, A Compact Intermediate Format for SIMICS,
Swedish Institute of Computer Science, Tech. Report R94:17 1994.
40. MediaWiki, http://www.mediawiki.org/wiki/MediaWiki.
41. Microsoft Azure, http://www.windowsazure.com/en-us/.
42. Microsoft Corporation, ECMA C# and Common Language Infrastructure Standards,
2009.
43. Microsoft Hyper-V Server 2012, http://www.microsoft.com/en-us/server-cloud/hyper-
v-server/.
44. Microsoft SQL Server, http://www.microsoft.com/en-us/sqlserver/default.aspx.
45. MySQL, http://www.mysql.com/.
46. Oracle SQL, http://www.oracle.com/technetwork/developer-tools/sql-developer/over-
view/index.html.
47. I. Pratt, K. Fraser, S. Hand, Limpach, A. Warfield, Magenheimer, Nakajima and Mallick,
Xen 3.0 and the Art of Virtualization, Proceedings of the Linux Symposium (Volume
Two) , 2005.
48. G. J. Popek and R. P. Goldberg, Formal Requirements for Virtualizable Third Generation
Architectures, Communications of the ACM , 1974.
49. Rackspace, http://www.rackspace.com/.
50. Red Hat Enterprise Virtualization (RHEV) 3 for Servers, http://www.redhat.com/promo/
rhev3/.
51. M. S. Rehman and M. F. Sakr, Initial Findings for Provisioning Variation in Cloud
Computing, CloudCom , 2010.
52. T. H. Romer, D. Lee, G. M. Voelker, A. Wolman, W. A. Wong, J.-L. Baer, B. N. Bershad
and H. M. Levy, The Structure and Performance of Interpreters, ASPLOS , 1996.
53. Silicon Valley Leadership Group, Accenture, Data Centre Energy Forecast Report, Final
Report, 2008.
54. R. L. Sites, A. Chernoff, M. B. Kirk, M. P. Marks and S. G. Robinson, Binary Translation,
Communications of the ACM , 1993.
55. J. E. Smith and R. Nair, Virtual Machines: Versatile Platforms for Systems and Processes ,
Morgan Kaufmann, 2005.
56. S. Soltesz, H. Potz, M. E. Fiuczynski, A. Bavier and L. Peterson, Container-Based
Operating System Virtualization: A Scalable, High-Performance Alternative to Hypervisors,
EuroSys , 2007.
57. S. Srikantaiah, A. Kansal and F. Zhao, Energy Aware Consolidation for Cloud Computing,
Cluster Computing , 2009.
58. vCloud Hybrid Service, http://www.vmware.com/products/datacenter-virtualization/
vCloud-hybridservice/overview.html.
59. VMWare, http://www.vmware.com.
60. VMWare, Understanding Full Virtualization, Paravirtualization, and Hardware Assist,
VMware Whitepaper , 2007.
61. VMWare, VMware vSphere: The CPU Scheduler in VMware ESX 4.1, VMware
Whitepaper , 2010.
62. VMWare, Understanding Memory Resource Management in VMware ESX Server,
VMware Whitepaper , 2009.
63. Xen Open Source Community, http://www.xen.org.
64. Xen 4.0 Release Notes, http://wiki.xen.org/wiki/Xen 4.0 Release Notes.
65. Xen 4.1 Release Notes, http://wiki.xen.org/wiki/Xen 4.1 Release Notes.
66. F. Zhou, M. Goel, P. Desnoyers and R. Sundaram, Scheduler Vulnerabilities and Attacks
in Cloud Computing, arXiv:1103.0759v1 [cs.DC] , 2011.
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