Download Global Trends in Computing and Communication Systems: 4th by Tien V. Do, Ram Chakka (auth.), P. Venkata Krishna, M. PDF
By Tien V. Do, Ram Chakka (auth.), P. Venkata Krishna, M. Rajasekhara Babu, Ezendu Ariwa (eds.)
This two-volume set, CCIS 0269-CCIS 0270, constitutes the refereed post-conference court cases of the foreign convention on worldwide tendencies in Computing and communique, ObCom 2011, held in Vellore, India, in December 2011. The 173 complete papers provided including a keynote paper and invited papers have been conscientiously reviewed and chosen from 842 submissions. The convention addresses all present matters linked to computing, verbal exchange and knowledge. The complaints contains invited papers facing the assessment of functionality types of machine and communique structures and contributed papers that function subject matters similar to networking, cloud computing, fuzzy good judgment, cellular verbal exchange, snapshot processing, navigation platforms, biometrics and internet providers overlaying actually all of the very important parts of the computing domains.
Read Online or Download Global Trends in Computing and Communication Systems: 4th International Conference, ObCom 2011, Vellore, TN, India, December 9-11, 2011. Proceedings, Part I PDF
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Additional info for Global Trends in Computing and Communication Systems: 4th International Conference, ObCom 2011, Vellore, TN, India, December 9-11, 2011. Proceedings, Part I
Example text
Queueing Syst. Theory Appl. 61(2-3), 139–166 (2009) 10. : Steady state analysis and computation of the GI[x]/Mb/1/L queue with multiple working vacations and partial batch rejection. Comput. Ind. Eng. 56(4), 1243–1253 (2009) 11. : A note on workload control for an under-utilized server of M/G/1 system. Comput. Ind. Eng. 56(1), 28–32 (2009) 12. : The discrete-time GI/Geo/1 queue with working vacations and vacation interruption. Applied Mathamatics and Computation 185, 1–10 (2007) 13. : Entropy Maximisation and Queueing Network Models.
Keywords: virtualization, elasticity, auto-scaling, cloud computing. 1 Introduction The rapid growth of E-Business and the frequent changes in the sites contents and the customers interest pose the need for rapid and dynamic scaling of resources. Fortunately, Cloud computing Infrastructure as a Service (IaaS) model, based on Virtualization technologies such as Xen [4]; VMWare [3]; and KVM [14], enables agile and dynamic provisioning of resources. g. Amazon EC2 [5] and GoGrid [1], has the following limitations: first, it uses VM as a scaling unit, which is coursegrained scaling that can cause unnecessary over-provisioning.
To make database tier the bottleneck, we tuned RuBBoS benchmark with traffic Elastic Virtual Machine for Fine-Grained Cloud Resource Provisioning 21 Table 4. Throughput degradation in Multi-instances architecture Sessions Number Elastic-VM throughput (req/sec) Multi-instances throughput (req/sec) Multi-instances throughput degradation (%) 200 400 600 800 1000 1200 1400 1200 1000 800 600 400 200 32 64 92 125 155 184 212 187 157 124 95 64 32 32 44 77 113 141 160 176 165 150 123 94 64 32 0 31 16 10 9 13 17 12 4 1 1 0 0 pattern that implied more search requests to put more workload on the database, therefore, the requests type was as the following: StoriesOfTheDay (12%), ViewStory(14%), SearchInStories (25%), and the remaining was distributed as same as the default user traffic pattern designed by RuBBoS benchmark.