Skip to main content
Top
Published in: Cluster Computing 4/2019

23-10-2017

A strategic performance of virtual task scheduling in multi cloud environment

Authors: C. Thirumalaiselvan, V. Venkatachalam

Published in: Cluster Computing | Special Issue 4/2019

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

An emerging technology of cloud computing has major issue as scheduling the task and resource allocating. To avoid this issue, there are suggestions on different scheduling algorithm and that has its own merits and demerits. The proposed virtual task scheduling in multi cloud environment using three different scheduling algorithms such as equal load balancing (ELB) algorithm, high priority scheduling algorithm and rate based scheduling (RBS) algorithm. These different scheduling algorithms are used based on the number of tasks and number of virtual machine in multi cloud environment architecture. If the number of task is equal to number of virtual machine, ELB scheduling algorithm is used. If the number of tasks is greater than the number of virtual machine, high prioritization scheduling algorithm is used. If the number of tasks are lesser than the number of virtual machines, RBS algorithm is used. By using these three different scheduling algorithms we can improve the makespan, average efficiency of the multi cloud computing. Simulation results have analyzed the overall performance by comparing these three different scheduling algorithms. From these simulation results, proposed virtual task scheduling which increases the makespan and reduces the delay and energy consumption.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Sontakke, V., Patil, P., Waghamare, S., Kulkarni, R., Patil, N.S., Saravanapriya, M., Scholar, U.G.: Dynamic resource allocation strategy for cloud computing using virtual machine environment. Int. J. Eng. Sci. (2016). doi:10.4010/2016.1192 Sontakke, V., Patil, P., Waghamare, S., Kulkarni, R., Patil, N.S., Saravanapriya, M., Scholar, U.G.: Dynamic resource allocation strategy for cloud computing using virtual machine environment. Int. J. Eng. Sci. (2016). doi:10.​4010/​2016.​1192
2.
go back to reference Pradhan, P., Behera, P.K., Ray, B.N.B.: Modified Round Robin Algorithm for resource allocation in cloud computing. Procedia Comput. Sci. 85, 878–890 (2016)CrossRef Pradhan, P., Behera, P.K., Ray, B.N.B.: Modified Round Robin Algorithm for resource allocation in cloud computing. Procedia Comput. Sci. 85, 878–890 (2016)CrossRef
3.
go back to reference Chandran, K., Shanmugasundaram, V., Subramani, K.: Designing a fuzzy-logic based trust and reputation model for secure resource allocation in cloud computing. Int. Arab J. Inf. Technol. 13(1), 30–37 (2016) Chandran, K., Shanmugasundaram, V., Subramani, K.: Designing a fuzzy-logic based trust and reputation model for secure resource allocation in cloud computing. Int. Arab J. Inf. Technol. 13(1), 30–37 (2016)
4.
go back to reference Feng, G., Buyya, R.: Maximum revenue-oriented resource allocation in cloud. Int. J. Grid Util. Comput. 7(1), 12–21 (2016)CrossRef Feng, G., Buyya, R.: Maximum revenue-oriented resource allocation in cloud. Int. J. Grid Util. Comput. 7(1), 12–21 (2016)CrossRef
5.
go back to reference Verma, M., Gangadharan, G.R., Narendra, N.C., Vadlamani, R., Inamdar, V., Ramachandran, L., Calheiros, R.N., Buyya, R.: Dynamic resource demand prediction and allocation in multi-tenant service clouds. Concurr. Comput. Pract. Exp. (2016). doi:10.1002/cpe.3767 Verma, M., Gangadharan, G.R., Narendra, N.C., Vadlamani, R., Inamdar, V., Ramachandran, L., Calheiros, R.N., Buyya, R.: Dynamic resource demand prediction and allocation in multi-tenant service clouds. Concurr. Comput. Pract. Exp. (2016). doi:10.​1002/​cpe.​3767
6.
go back to reference Zhang, S., Pan, L., Liu, S., Wu, L., Meng, X.: Profit based two-step job scheduling in clouds. In: International Conference on Web-Age Information Management, pp. 481–492. Springer, Cham (2016) Zhang, S., Pan, L., Liu, S., Wu, L., Meng, X.: Profit based two-step job scheduling in clouds. In: International Conference on Web-Age Information Management, pp. 481–492. Springer, Cham (2016)
7.
go back to reference Zeng, Z., Truong-Huu, T., Veeravalli, B., Tham, C.-K.: Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds. Clust. Comput. 19, 1–14 (2016)CrossRef Zeng, Z., Truong-Huu, T., Veeravalli, B., Tham, C.-K.: Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds. Clust. Comput. 19, 1–14 (2016)CrossRef
8.
go back to reference Thaman, J., Singh, M.: Current perspective in task scheduling techniques in cloud computing: a review. Int. J. Found. Comput. Sci. Technol. 6, 65–85 (2016)CrossRef Thaman, J., Singh, M.: Current perspective in task scheduling techniques in cloud computing: a review. Int. J. Found. Comput. Sci. Technol. 6, 65–85 (2016)CrossRef
9.
go back to reference Tiwari, P.K., Joshi, S.: A review on load balancing of virtual machine resources in cloud computing. In: Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems, vol. 2, pp. 369–378. Springer, Cham (2016) Tiwari, P.K., Joshi, S.: A review on load balancing of virtual machine resources in cloud computing. In: Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems, vol. 2, pp. 369–378. Springer, Cham (2016)
10.
go back to reference Passacantando, M., Ardagna, D., Savi, A.: Service provisioning problem in cloud and multi-cloud systems. INFORMS J. Comput. 28(2), 265–277 (2016)MathSciNetCrossRef Passacantando, M., Ardagna, D., Savi, A.: Service provisioning problem in cloud and multi-cloud systems. INFORMS J. Comput. 28(2), 265–277 (2016)MathSciNetCrossRef
11.
go back to reference Pan, L., Wang, D.: A cross-entropy-based admission control optimization approach for heterogeneous virtual machine placement in public clouds. Entropy 18(3), 95 (2016)MathSciNetCrossRef Pan, L., Wang, D.: A cross-entropy-based admission control optimization approach for heterogeneous virtual machine placement in public clouds. Entropy 18(3), 95 (2016)MathSciNetCrossRef
12.
go back to reference Fouz, F., Sen, A.A.: Performance and scheduling Of HPC applications in cloud. J. Theor. Appl. Inf. Technol. 85(3). www.jatit.org (2016) Fouz, F., Sen, A.A.: Performance and scheduling Of HPC applications in cloud. J. Theor. Appl. Inf. Technol. 85(3). www.​jatit.​org (2016)
13.
go back to reference Wang, L., Liu, M., Meng, M.Q.-H.: A pricing mechanism for task oriented resource allocation in cloud robotics. In: Robots and Sensor Clouds, pp. 3–31. Springer, Cham (2016) Wang, L., Liu, M., Meng, M.Q.-H.: A pricing mechanism for task oriented resource allocation in cloud robotics. In: Robots and Sensor Clouds, pp. 3–31. Springer, Cham (2016)
14.
go back to reference Chauhan, P.K., Dabas, P.: A review of prioritize task scheduling in cloud computing. Int. J. Adv. Eng. Res. Appl. 2(1), 7–13 (2016) Chauhan, P.K., Dabas, P.: A review of prioritize task scheduling in cloud computing. Int. J. Adv. Eng. Res. Appl. 2(1), 7–13 (2016)
15.
go back to reference Xu, H., Yang, B., Qi, W., Ahene, E.: A multi-objective optimization approach to workflow scheduling in clouds considering fault recovery. KSII Trans. Internet Inf. Syst. 10(3), 976–995 (2016) Xu, H., Yang, B., Qi, W., Ahene, E.: A multi-objective optimization approach to workflow scheduling in clouds considering fault recovery. KSII Trans. Internet Inf. Syst. 10(3), 976–995 (2016)
17.
go back to reference Wang, H., Wang, J.: An effective image representation method using kernel classification. In: 2014 IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 853–858. IEEE (2014) Wang, H., Wang, J.: An effective image representation method using kernel classification. In: 2014 IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 853–858. IEEE (2014)
18.
go back to reference Wang, Y., Wu, B., Suh, G.E.: Secure dynamic memory scheduling against timing channel attacks. In: 2017 IEEE International Symposium on High Performance Computer Architecture (HPCA), pp. 301–312. IEEE (2017) Wang, Y., Wu, B., Suh, G.E.: Secure dynamic memory scheduling against timing channel attacks. In: 2017 IEEE International Symposium on High Performance Computer Architecture (HPCA), pp. 301–312. IEEE (2017)
Metadata
Title
A strategic performance of virtual task scheduling in multi cloud environment
Authors
C. Thirumalaiselvan
V. Venkatachalam
Publication date
23-10-2017
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 4/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-1268-7

Other articles of this Special Issue 4/2019

Cluster Computing 4/2019 Go to the issue

Premium Partner