The Extensive Reliable Cloud Service with a Low Throughput in The Data Transmission
Main Article Content
Abstract
Demonstrating a distributed computing community is urgent to assess and anticipate its inward availability unwavering quality and accessibility. A significant number of past investigations on framework accessibility/unwavering quality appraisal of virtualized frameworks comprising of servers in cloud server farms have been accounted for. In this paper, we propose a various levelled demonstrating system for dependability and accessibility assessment of tree-based server farm organizations. The progressive model comprises of three layers, including (I) unwavering quality charts in the top layer to show the framework network geography, (ii) an issue tree to demonstrate the engineering of the subsystems, and (iii) stochastic prize nets to catch the ways of behaving and reliance of the parts in the subsystems exhaustively. Two agent server farm networks considering threelevel and fat-tree geographies are demonstrated and dissected in a thorough way. We explicitly think about several contextual analyses to explore the effect of systems administration and the board on distributed computing habitats. Besides, we perform different nitty gritty investigations concerning unwavering quality and accessibility measures for the framework models. The examination results show that fitting systems administration to improve the dissemination of hubs inside the server farm organizations can upgrade the dependability/accessibility. The finish of this study can be utilized toward the reasonable administration and development of distributed computing communities.
Downloads
Metrics
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
References
M. F. Bari et al., "Data center network virtualization: A survey," IEEE Commun. Surveys Tuts., vol. 15, no. 2,
pp. 909_928, 2nd Quart., 2013. [Online]. Available: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.
htm?arnumber=6308765
R. Cocchiara, H. Davis, and D. Kinnaird, "Data center topologies for mission-critical business systems," IBM
Syst. J., vol. 47, no. 4, pp. 695_706, 2008. [Online]. Available:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5386510
T. Chen, X. Gao, and G. Chen, "The features, hardware, and architectures of data center networks: A survey,"
J. Parallel Distrib. Comput., vol. 96, pp. 45_74, Oct. 2016. [Online]. Available:
http://www.sciencedirect.com/science/article/pii/S0743731516300399
S. Zafar, A. Bashir, and S. A. Chaudhry, "On implementation of DCTCP on three-tier and fat-tree data center
network topologies," Springer- Plus, vol. 5, no. 1, p. 766, Dec. 2016. [Online]. Available:
http://springerplus.springeropen.com/articles/10.1186/s40064-016-2454-4
M. Al-Fares, A. Loukissas, and A. Vahdat, "A scalable, commodity data center network architecture," ACM
SIGCOMM Comput. Com- mun. Rev., vol. 38, no. 4, pp. 63_74, 2008. [Online]. Available:
http://dl.acm.org/citation.cfm?id=1402958.1402967
R. N. Mysore et al., "PortLand: A scalable fault-tolerant layer 2 data center network fabric," in Proc. ACM
SIGCOMM Conf. Data Com- mun. (SIGCOMM), 2009, pp. 39_50. [Online]. Available:
http://doi.acm.org/10.1145/1592568.1592575
G. Chen, Y. Zhao, D. Pei, and D. Li, "Rewiring 2 links is enough: Accelerating failure recovery in production
data center networks," in Proc. 35th IEEE Int. Conf. Distrib. Comput. Syst. (ICDCS), Jun. 2015, pp. 569_578.
[Online]. Available: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7164942
Y. Liu, D. Lin, J. Muppala, and M. Hamdi, "A study of fault-tolerance characteristics of data center networks,"
in Proc. IEEE/IFIP Int. Conf. Dependable Syst. Netw. Workshops (DSN), Jun. 2012, pp. 1_6. [Online].
Available: http://ieeexplore.ieee.org/document/6264696/
C. Guo, H. Wu, K. Tan, L. Shi, Y. Zhang, and S. Lu, "Dcell: A scalable and fault-tolerant network structure
for data centers," in Proc. ACM SIGCOMM Conf. Data Commun. (SIGCOMM), vol. 38, no. 4, Aug. 2008, pp.
_86. [Online]. Available: http://portal.acm.org/citation.cfm?doid=1402958.1402968
D. Li, "FiConn: Using backup port for server interconnection in data centers," in Proc. IEEE 28th Conf.
Comput. Commun. (INFO- COM), Apr. 2009, pp. 2276_2285. [Online]. Available:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5062153
C. Wang, C. Wang, Y. Yuan, and Y. Wei, "MCube: A high performance and fault-tolerant network
architecture for data centers," in Proc. Int. Conf. Comput. Design Appl., Jun. 2010, pp. V5-423_V5-427.
[Online]. Available: http://ieeexplore.ieee.org/document/5540940/
N. Farrington et al., "Helios: A hybrid electrical/optical switch architecture for modular data centers," ACM
SIGCOMM Comput. Com- mun. Rev., vol. 40, no. 4, pp. 339_350, Aug. 2010. [Online]. Available:
http://dl.acm.org/citation.cfm?doid=1851275.1851223
H. M. Helal and R. E. Ahmed, "Performance evaluation of datacenter network topologies with link failures,"
in Proc. 7th Int. Conf. Modeling, Simulation, Appl. Optim. (ICMSAO), Apr. 2017, pp. 1_5. [Online].
Available: http://ieeexplore.ieee.org/document/7934898/
N. Farrington and A. Andreyev, "Facebook's data center network architecture," in Proc. IEEE Opt.
Interconnects Conf., May 2013, pp. 49_50. [Online]. Available: http://ieeexplore.ieee.org/document/6552917/
B. Lebiednik, A. Mangal, and N. Tiwari. (May 2016). "A survey and evaluation of data center network
topologies." [Online]. Available: http://arxiv.org/abs/1605.01701
F. Yao, J. Wu, G. Venkataramani, and S. Subramaniam, "A comparative analysis of data center network
architectures," in Proc. IEEE Int. Conf. Commun. (ICC), Jun. 2014, pp. 3106_3111. [Online]. Available:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6883798
Ponemon Institute and Emerson Network Power. 2013 Cost of Data Center Outages. Accessed: Oct. 12, 2018.
[Online]. Available:
http://www.emersonnetworkpower.com/documentation/enus/brands/liebert/documents/whitepapers/2013_em
erson_data_center_cost_downtime_sl-24680.pdf
R. Miller. (2008). Failure Rates in Google Data Centers. Data Center Knowledge, Business. Accessed: Oct.
, 2018. [Online]. Available: https://www.datacenterknowledge.com/archives/2008/05/30/failurerates-ingoogle-data-centers
T. Lumpp et al., "From high availability and disaster recovery to business continuity solutions," IBM Syst. J.,
vol. 47, no. 4, pp. 605_619, 2008. [Online]. Available:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5386516
D. M. Gomes et al., "Evaluating the cooling subsystem availability on a cloud data center," in Proc. IEEE
Symp. Comput. Commun. (ISCC), Jul. 2017, pp. 736_741. [Online]. Available: