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2016 | OriginalPaper | Buchkapitel

Cuckoo Based Resource Allocation for Mobile Cloud Environments

verfasst von : S. Durga, S. Mohan, J. Dinesh, A. Aneena

Erschienen in: Computational Intelligence, Cyber Security and Computational Models

Verlag: Springer Singapore

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Abstract

The boom of Mobile Cloud Computing fosters a large volume of smart mobile applications enabling processing and data handlings in the remote cloud servers. An Efficient allocation of resources to a large number of requests in Mobile Cloud Computing environment is an important aspect that needs special attention in order to make the environment a highly optimized entity. In this paper, A Cuckoo based allocation strategy is proposed and the allocation is considered as an optimization problem with the aim of reducing the makespan and the computational cost meeting the deadline constraints, with high resource utilization. The proposed approach is evaluated using CloudSim framework and the results, indicate that the proposed model provides better quality of service to the mobile cloud customers.

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Literatur
1.
Zurück zum Zitat Dinh, H.T., Lee, C., Nyato, D., Wang, P.: A survey of mobile cloud computing: architecture, applications and approaches. Wirel. Commun. Mob. Comput. 13, 1587–1611 (2013)CrossRef Dinh, H.T., Lee, C., Nyato, D., Wang, P.: A survey of mobile cloud computing: architecture, applications and approaches. Wirel. Commun. Mob. Comput. 13, 1587–1611 (2013)CrossRef
2.
Zurück zum Zitat Escalnte, D., Andrew, J.: Cloud services: policy and assessment. Educause Rev. 46 (2011) Escalnte, D., Andrew, J.: Cloud services: policy and assessment. Educause Rev. 46 (2011)
3.
Zurück zum Zitat Shiraz, M., Gani, A., Khokhar, R.H., Buyya, R.: A review on distributed application processing frameworks in smart mobile devices for mobile cloud computing. IEEE Commun. Surv. 15, 1294–1313 (2013)CrossRef Shiraz, M., Gani, A., Khokhar, R.H., Buyya, R.: A review on distributed application processing frameworks in smart mobile devices for mobile cloud computing. IEEE Commun. Surv. 15, 1294–1313 (2013)CrossRef
4.
Zurück zum Zitat Pandey, S., Wu, L., Guru, S.M., Buyya, R.: A particle swarm optimization-based heuristic for scheduling workflow applications in cloud computing environments. In: Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications (AINA) (2010) Pandey, S., Wu, L., Guru, S.M., Buyya, R.: A particle swarm optimization-based heuristic for scheduling workflow applications in cloud computing environments. In: Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications (AINA) (2010)
5.
Zurück zum Zitat Sandeep, K., Sandhu, R.: Matrix based proactive resource provisioning in mobile cloud environment. Elsevier. J. Simul. Model. Pract. Theory 50, 83–95 (2015)CrossRef Sandeep, K., Sandhu, R.: Matrix based proactive resource provisioning in mobile cloud environment. Elsevier. J. Simul. Model. Pract. Theory 50, 83–95 (2015)CrossRef
6.
Zurück zum Zitat Nishio, T., Shinkuma, R., Takahashi, T., Narayan, B.: Service-oriented heterogeneous resource sharing for optimizing service latency in mobile cloud. In: Mobile Cloud ’13, Proceedings of the First International Workshop on Mobile Cloud Computing and Networking, pp. 19–26 (2013) Nishio, T., Shinkuma, R., Takahashi, T., Narayan, B.: Service-oriented heterogeneous resource sharing for optimizing service latency in mobile cloud. In: Mobile Cloud ’13, Proceedings of the First International Workshop on Mobile Cloud Computing and Networking, pp. 19–26 (2013)
7.
Zurück zum Zitat Ravi, A., Peddoju, S.K.: Energy efficient seamless service provisioning in mobile cloud computing, In: Proceedings of the 2013 IEEE Seventh International Symposium on Service-Oriented System Engineering. pp. 463–471 (2013) Ravi, A., Peddoju, S.K.: Energy efficient seamless service provisioning in mobile cloud computing, In: Proceedings of the 2013 IEEE Seventh International Symposium on Service-Oriented System Engineering. pp. 463–471 (2013)
8.
Zurück zum Zitat Shu, W., Wang, W., Wang, Y.: A novel energy-efficient resource allocation algorithm based on immune clonal optimization for green cloud computing. EURASIP J. Wirel. Commun. Netw. 64 (2014) Shu, W., Wang, W., Wang, Y.: A novel energy-efficient resource allocation algorithm based on immune clonal optimization for green cloud computing. EURASIP J. Wirel. Commun. Netw. 64 (2014)
9.
Zurück zum Zitat Yang, X.S., Deb, S.: Cuckoo search via levy flights. In: World Congress Nature and Biologically Inspired Computing, pp. 210–214 (2009) Yang, X.S., Deb, S.: Cuckoo search via levy flights. In: World Congress Nature and Biologically Inspired Computing, pp. 210–214 (2009)
10.
Zurück zum Zitat Yang, X.S., Deb, S.: Engineering optimization by cuckoo search. Int. J. Math. Model. Numer. Optim. 1, 330–343 (2010)MATH Yang, X.S., Deb, S.: Engineering optimization by cuckoo search. Int. J. Math. Model. Numer. Optim. 1, 330–343 (2010)MATH
11.
Zurück zum Zitat Civicioglu, P., Besdok, E.: A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms. Artif. Intell. Rev. 39, 315–346 (2013)CrossRef Civicioglu, P., Besdok, E.: A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms. Artif. Intell. Rev. 39, 315–346 (2013)CrossRef
12.
Zurück zum Zitat Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, A.F., Buyya, R.: CloudSim: a toolkit for modelling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw.: Pract. Experience 41, 23–50 (2011) Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, A.F., Buyya, R.: CloudSim: a toolkit for modelling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw.: Pract. Experience 41, 23–50 (2011)
Metadaten
Titel
Cuckoo Based Resource Allocation for Mobile Cloud Environments
verfasst von
S. Durga
S. Mohan
J. Dinesh
A. Aneena
Copyright-Jahr
2016
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-0251-9_50

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