HySARC2: Hybrid scheduling algorithm based on resource clustering in Cloud environments

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8285 LNCS, Issue PART 1, 2013, Pages 416-425

  Vasile, Mihaela Andreea ^a   Pop, Florin ^a   Tutueanu, Radu Ioan ^a   Cristea, Valentin ^a  

^a UNIVERSITY POLITEHNICA OF BUCHAREST   (Romania)

Author keywords

Cloud computing; Clustering; Resource allocation; Scheduling

Indexed keywords

BUSINESS ENTERPRISE; CLOUD INFRASTRUCTURES; CLUSTERING; HETEROGENEOUS SYSTEMS; HYBRID SCHEDULING ALGORITHMS; NOVEL SCHEDULING ALGORITHMS; RESOURCE UTILIZATIONS; TRADITIONAL APPROACHES;

CLOUD COMPUTING; RESOURCE ALLOCATION; SCHEDULING; WEATHER FORECASTING;

CLUSTERING ALGORITHMS;

EID: 84892864279     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-03859-9_36     Document Type: Conference Paper

References (18)

1. Fox, A., Griffith, R., Joseph, A., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I.: Above the clouds: A berkeley view of cloud computing. Dept. Electrical Eng. and Comput. Sciences, University of California (2009)
2. Marinescu, D.C.: Cloud Computing: Theory and Practice, vol. 2014. Morgan Kaufmann (2013)
3. Sempolinski, P., Thain, D.: A comparison and critique of eucalyptus, opennebula and nimbus. In: Proc. of the 2010 IEEE Second Int. Conf. on Cloud Computing Technology and Science. IEEE Computer Society (2010)
4. Jing, S.Y., Ali, S., She, K., Zhong, Y.: State-of-the-art research study for green cloud computing. J. Supercomput (2013)
5. Kolodziej, J., Xhafa, F.: Modern approaches to modeling user requirements on resource and task allocation in hierarchical computational grids. Int. J. Appl.Math. Comput. Sci. 21(2), 243-257 (2011)
6. Parsa, S., Entezari-Maleki, R.: Rasa: A new task scheduling algorithm in grid environment. World Applied Sciences Journal (2009)
7. Olteanu, A., Pop, F., Dobre, C., Cristea, V.: A dynamic rescheduling algorithm for resource management in large scale dependable distributed systems. Comput. Math. Appl. (2012)
8. Liu, K., Jin, H., Chen, J., Liu, X., Yuan, D., Yang, Y.: A compromised-time-cost scheduling algorithm in swindew-c for instance-intensive cost-constrained workflows on a cloud computing platform. Int. J. High Perform. Comput. Appl. (2010)
9. Kaur, K., Chhabra, A., Singh, G.: Heuristics based genetic algorithm for scheduling static tasks in homogeneous parallel system. Int. J. of Comp. Sci. and Sec. (2010)
10. Kolodziej, J., Xhafa, F.: Enhancing the genetic-based scheduling in computational grids by a structured hierarchical population. Future Gener. Comput. Syst. 27(8), 1035-1046 (2011)
11. Moise, D., Moise, E., Pop, F., Cristea, V.: Resource coallocation for scheduling tasks with dependencies, in grid. In: HiPerGRID Workshops Proceeding, Bucharest, Romania, pp. 2065-2701 (2008) ISSN: 2065-0701
12. Jackson, K.: OpenStack Cloud Computing Cookbook. Packt Publishing (2012)
13. Milojicic, D., Llorente, I.M., Montero, R.S.: Opennebula: A cloud management tool. IEEE Internet Computing (2011)
14. Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, A.F., Buyya, R.: Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw. Pract. Exper. 41(1) (2011)
15. Xhafa, F., Kolodziej, J., Barolli, L., Kolici, V., Miho, R., Takizawa, M.: Hybrid algorithms for independent batch scheduling in grids. Int. J. Web Grid Serv. 8(2), 134-152 (2012)
16. MacQueen, J.: et al.: Some methods for classification and analysis of multivariate observations. In: Proc. of the Fifth Berkeley Symp. on Math. Statistics and Probability, USA (1967)
17. Simion, B., Leordeanu, C., Pop, F., Cristea, V.: A hybrid algorithm for scheduling workflow applications in grid environments (icpdp). In: Meersman, R. (ed.) OTM 2007, Part II. LNCS, vol. 4804, pp. 1331-1348. Springer, Heidelberg (2007)
18. Bessis, N., Sotiriadis, S., Cristea, V., Pop, F.: Modelling requirements for enabling meta-scheduling in inter-clouds and inter-enterprises. In: Intelligent Networking and Collaborative Systems (INCoS), pp. 149-156 (2011)