This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Thirumala Rao, B. Scheduling Data Intensive Workloads through Virtualization on MapReduce Based Clouds. – Int. J. Distrib. Parallel Syst., Vol. 3, 2012, No 4, pp. 99-110. DOI: 10.5121/ijdps.2012.3411.Search in Google Scholar
Mansouri, N. A New Job Scheduling in Data Grid Environment Based on Data and Computational Resource Availability. – AmirKabir Int. Sci. Res., Vol. 47, 2015, No 1, pp. 41-53.Search in Google Scholar
Kliazovich, D., P. Bouvry, S. U. Khan. DENS: Data Center Energy-Efficient Network-Aware Scheduling. – In: Proc. of 2010 IEEE/ACM Int. Conf. Green Comput. Commun. GreenCom 2010, No August 2010, pp. 69-75. DOI: 10.1109/GreenCom-CPSCom.2010.31.Search in Google Scholar
McClatchey, R., A. Anjum, H. Stockinger, A. Ali, I. Willers, M. Thomas. Scheduling in Data Intensive and Network Aware (DIANA) Grid Environments. – J. Grid Comput., Vol. 5, 2007, No 1, pp. 43-64.Search in Google Scholar
Greenberg, A., J. Hamilton, D. A. Maltz, P. Patel. The Cost of a Cloud. – ACM SIGCOMM Comput. Commun. Rev., Vol. 39, 2008, No 1, pp. 68-73. DOI: 10.1145/1496091.1496103.Search in Google Scholar
Li, X., Y. Li, T. Liu, J. Qiu, F. Wang. The Method and Tool of Cost Analysis for Cloud Computing. – In: Proc. of CLOUD 2009 – 2009 IEEE Int. Conf. Cloud Comput., 2009, pp. 93-100. DOI: 10.1109/CLOUD.2009.84.Search in Google Scholar
Mayyad Jaber. Architecture de Système d’information distribué pour la gestion de la chaîne logistique : Une approche orientée servic. Phd Thesys. Lion, France, 2009 (In French).Search in Google Scholar
Chandio, A. A., M. S. Korejo, I. A. Korejo, M. S. Chandio. To Investigate Classical Scheduling Schemes with Power Management in IaaS Cloud Environment for HPC Workloads. – In: Proc. of IEEE Student Conf. Res. Dev. Inspiring Technol. Humanit. SCOReD 2017, Vol. 2018-January, 2018, pp. 121-126. DOI: 10.1109/SCORED.2017.8305409.Search in Google Scholar
Chandio, A. A., et al. A Comparative Study on Resource Allocation and Energy Efficient Job Scheduling Strategies in Large-Scale Parallel Computing Systems. – Cluster Comput., Vol. 17, 2014, No 4, pp. 1349-1367. DOI: 10.1007/s10586-014-0384-x.Search in Google Scholar
Sana, M. U., Z. Li. Efficiency Aware Scheduling Techniques in Cloud Computing: A Descriptive Literature Review. – PeerJ Comput. Sci., Vol. 7, 2021, pp. 1-37. DOI: 10.7717/PEERJ-CS.509.Search in Google Scholar
Leontiou, N., D. Dechouniotis, S. Denazis, S. Papavassiliou. A Hierarchical Control Framework of Load Balancing and Resource Allocation of Cloud Computing Services. – Comput. Electr. Eng., Vol. 67, 2018, No March, pp. 235-251. DOI: 10.1016/j.compeleceng.2018.03.035.Search in Google Scholar
Kliazovich, D., J. E. Pecero, A. Tchernykh, P. Bouvry, S. U. Khan, A. Y. Zomaya. CA-DAG: Modeling Communication-Aware Applications for Scheduling in Cloud Computing. – Journal of Grid Computing, Vol. 14, 2016, pp. 23-39.Search in Google Scholar
Singh, S., I. Chana. Resource Provisioning and Scheduling in Clouds: QoS Perspective. – Springer US, Vol. 72, 2016, No 3.Search in Google Scholar
S. U. K., D. Kliazovich, P. Bouvry. Simulation and Performance Analysis of Data Intensive and Workload Intensive Cloud Computing Data Centers. – Opt. Interconnects Futur. Data Cent. Net., 2013.Search in Google Scholar
Wang, L., S. U. Khan, J. Dayal. Thermal Aware Workload Placement with Task-Temperature Profiles in a Data Center. – The Journal of Supercomputing, Vol. 61, 2012, pp. 780-803.Search in Google Scholar
Headquarters, A. Cisco Data Center Infrastructure 2.5 Design Guide. – Cisco, No 6387, 2007.Search in Google Scholar
Kashif, B., S. U. Khan, J. Kolodziej, L. Zhang, K. Hayat, S. Ahmad Madani, N. Min-Allah, L. Wang, D. Chen. A Comparative Study Of Data Center Network Architectures. – In ECMS, 2012, pp. 526-532.Search in Google Scholar
Sutha, K., G. M. K. Nawaz. Research Perspective of Job Scheduling in Cloud Computing. – In: Proc. of 8th International Conference on Advanced Computing (ICoAC’2016), 2017, pp. 61-66.Search in Google Scholar
Abdullahi, I. Process Scheduling In Longest Job First (LJF) Algorithm. A Proposed Framework for Starvation Problem.Search in Google Scholar
Sindhu, S. Task Scheduling in Cloud Computing. – Comp. Eng. Techn, 2015.Search in Google Scholar
Etminani, K. A Min-Min Max-Min Selective Algorihtm for Grid Task Scheduling. 2007.Search in Google Scholar
Ilankumaran, A., S. J. Narayanan. An Energy-Aware QoS Load Balance Scheduling Using Hybrid GAACO Algorithm for Cloud. – Cybernetics and Information Technologies, Vol. 23, 2023, No 1, pp. 161-177.Search in Google Scholar
Bhargavi, K., S. G. Shiva. Uncertainty Aware T2SS Based Dyna-Q-Learning Framework for Task Scheduling in Grid Computing. – Cybernetics and Information Technologies, Vol. 22, 2022, No 3, pp. 48-67.Search in Google Scholar
Chandio, A. A., N. Tziritas, M. S. Chandio, C.-Z. Xu. Energy Efficient VM Scheduling Strategies for HPC Workloads in Cloud Data Centers. - Sustainable Computing: Informatics and Systems, Vol. 24, 2019, 100352.Search in Google Scholar
Tziritas, N., C.-Z. Xu, T. Loukopoulos, S. U. Khan, Z. Yu. Application-Aware Workload Consolidation to Minimize Both Energy Consumption and Network Load in Cloud Environments. – In: Proc. of 2013 42nd IEEE International Conference on Parallel Processing, 2013, pp. 449-457.Search in Google Scholar