Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
CbdA: Cloud Computing Based DMIS on ANEKA Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Design of Task Scheduling Model for Cloud Applications in Multi Cloud Environment

Authors : P. K. Suri, Sunita Rani

Published in: Information, Communication and Computing Technology

Publisher: Springer Singapore

Log in

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

search-config
loading …

Abstract

Task Scheduling is important part in cloud computing environment for heterogeneous resources. Task scheduling is to allocate tasks to the best suitable resources to increase performance in terms of some dynamic parameters. The proposed scheduling model is constructed for cloud applications in multi cloud environment and implemented in three phases (minimization, grouping & ranking and execution) and considered average waiting time, average turnaround time, completion time and makespan as performance parameters. In this scheduling model, execution time of tasks in cloud applications is generated through normal distribution and exponential distribution. Ranking of tasks is based upon shortest job first strategy (SJF) and results are compared with other ranking method based upon first come first serve (FCFS) and largest processing time first (LPTF). The proposed scheduling model gives better performance as per defined performance parameters.

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!

inform now

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!

inform now

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!

inform now
previous chapter CbdA: Cloud Computing Based DMIS on ANEKA
next chapter Analysis of Epidemic Outbreak in Delhi Using Social Media Data
Literature
1.
Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging IT platforms: vision, type, and reality for delivering computing as the 5th utility. Futur. Gener. Comput. Syst. 25, 599–616 (2009)CrossRef
2.
Suri, P.K., Rani, S.: Simulator for priority based scheduling of resources in cloud computing. Int. J. Comput. Appl. 146(14), 10–15 (2016)
3.
Lee, Y.C., Subrata, R., Zomaya, A.Y.: On the performance of a dual-objective optimization model for workflow applications on grid platforms. IEEE Trans. Parallel Distrib. Syst. 20(9), 1273–1283 (2009)CrossRef
4.
Muthuvelu, N., Liu, J., Soe, N.L., Venugopal, S., Sulistio, A., Buyya, R.: A dynamic job grouping-based scheduling for deploying applications with fine-grained tasks on global grids. In: Coddington, P., Wendelborn, A. (eds.) Australasian Workshop on Grid Computing and e-Research (AusGrid2005), Newcastle, Australia. Conferences in Research and Practice in Information Technology, vol. 44. Australian Computer Society, Adelaide (2005)
5.
Muthuvelu, N., Chai, I., Eswaran, C.: An adaptive and parameterized job grouping algorithm for scheduling grid jobs. In: ICACT, pp. 975–980 (2008). ISBN 978-89-5519-136-3
6.
Xhafa, F., Barolli, L., Durresi, A.: Immediate mode scheduling of independent jobs in computational grids. In: 21st International Conference on Advanced Networking and Applications (AINA 2007) (2007)
7.
Liu, Q., Liao, Y.: Grouping-based fine-grained job scheduling in grid computing. In: First International Workshop on Education Technology and Computer Science, pp. 556–559 (2009)
8.
Ang, T.F., Ng, W.K., Ling, T.C., Por, L.Y., Liew, C.S.: A bandwidth-aware job grouping-based scheduling on grid environment. Inf. Technol. J. Asian Netw. Sci. Inf. 8, 372–377 (2009). ISSN 1812-5638
9.
Mishra, M.K., Mohanty, P., Mund, G.B.: A modified grouping-based job scheduling in computational grid. In: International Conference on Current Trends in Technology, Nuicone, pp. 1–6 (2011)
10.
Ru, J., Keung, J.: An empirical investigation on the simulation of priority and shortest-job-first scheduling for cloud-based software systems. In: 22nd Australian Conference on Software Engineering, pp. 78–87 (2013)
11.
Panda, S.K., Nag, S., Jana, P.K.: A smoothing based task scheduling algorithm for heterogeneous multi-cloud environment. In: International Conference on Parallel, Distributed and Grid Computing, pp. 62–67. IEEE (2014)
12.
Yadav, S., Agarwal, A., Rastogi, R.: Cost-based job grouping and scheduling algorithm for grid computing environments. Int. J. Comput. Appl. 91(15), 21–27 (2014). ISSN 0975-8887
13.
Gupta, G., Kumawat, V.K., Laxmi, P.R., Singh, D., Jain, V., Singh, R.: A simulation of priority based earliest deadline first scheduling for Cloud computing system. In: First International Conference on Networks & Soft Computing, pp. 35–39 (2014)
14.
Panda, S.K., Jana, P.K.: An efficient task scheduling algorithm for heterogeneous multi-cloud environment. In: International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1204–1209 (2014)
15.
Bittencourt, L.F., Madeira, E.R., da Nelson, L.S., Fonseca, N.L.S.: Resource management and scheduling. In: Fonseca, N., Boutaba, R. (eds.) Cloud Services, Networking, and Management, 1st edn, pp. 243–267. Wiley, New York (2014)
16.
Chitra, S., Prashanth, C.S.R.: Probabilistic availability based task scheduling algorithm. IEEE (2015)
17.
Komarasamy, D., Muthuswamy, V.: Adaptive deadline based dependent job scheduling algorithm in cloud computing. In: Seventh International Conference on Advanced Computing (ICoAC), pp. 1–5 (2015)
18.
Mao, Y., Zhong, H., Li, X.: Hierarchical model-based associate tasks scheduling with the deadline constraints in the cloud. In: Proceeding of the 2015 IEEE International Conference on Information and Automation, Lijiang, China, pp. 268–273, August 2015
19.
Oyetunji, E.O., Oluleye, A.E.: Minimizing makespan and total completion time criteria on a single machine with release dates. J. Emerg. Trends Eng. Appl. Sci. 1(1), 100–108 (2010)
Metadata
Title
Design of Task Scheduling Model for Cloud Applications in Multi Cloud Environment
Authors
P. K. Suri
Sunita Rani
Copyright Year
2017
Publisher
Springer Singapore
Book
Information, Communication and Computing Technology

Print ISBN: 978-981-10-6543-9

Electronic ISBN: 978-981-10-6544-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-6544-6_2

Premium Partner

    Image Credits