Impact Factor:6.549
Scopus Suggested Journal: |
International Journal
of Computer Engineering in Research Trends (IJCERT)
Scholarly, Peer-Reviewed, Open Access and Multidisciplinary
International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary
ISSN(Online):2349-7084 Submit Paper Check Paper Status Conference Proposal
[1] P. Mell and T. Grance, “The NIST Definition of Cloud Computingâ€, National Institute of Standards and Technology: U.S. Department of Commerce, NIST Special publication 800-145, September, 2011. [2] Brown, Kevin, and Suresh Singh. "A network architecture for mobile computing." INFOCOM'96. Fifteenth Annual Joint Conference of the IEEE Computer Societies. Networking the Next Generation. Proceedings IEEE. Vol. 3. IEEE, 2002. [3] Chen, Xu, et al. "Efficient multi-user computation offloading for mobile-edge cloud computing." IEEE/ACM Transactions on Networking, Vol. 5, pp. 2795-2808, 2016. [4] Dinh, Hoang T., et al. "A survey of mobile cloud computing: architecture, applications, and approaches." Wireless communications and mobile computing Vol. 13, Issue.18 pp.1587-1611, 2013. [5] Gai, Keke, et al. "Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing." Journal of Network and Computer Applications Vol. 59, pp. 46-54, 2016. [6] Jo, Minho, et al. "Device-to-device-based heterogeneous radio access network architecture for mobile cloud computing." IEEE Wireless Communications Vol. 22, Issue. 3, pp. 50-58, 2015. [7] Rahimi, M. Reza, et al. "Mobile cloud computing: A survey, state of the art and future directions." Mobile Networks and Applications Vol. 19, Issue.2, pp.133-143, 2014. [8] Tong, Liang, Yong Li, and Wei Gao. "A hierarchical edge cloud architecture for mobile computing." INFOCOM 2016-The 35th Annual IEEE International Conference on Computer Communications, IEEE. IEEE, 2016. [9] Yi, Shane, Cheng Li, and Qun Li. "A survey of fog computing: concepts, applications, and issues." Proceedings of the 2015 workshop on mobile big data. ACM, 2015. [10] A. Beloglazov, and R. Buyya, “Energy Efficient Allocation of Virtual Machines in Cloud Data Centersâ€, 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, pp. 577-578, 2010. [11] Wei, B. (2012), “A novel energy optimized and workload adaptive modeling for live migrationâ€, International Journal of Machine Learning and Computing, Vol. 2, Issue. 2, pp. 158-162, 2012. [12] Safari, Z., Bohlol, N., &Fouladfar, E. (2015, April). Optimized live migration using NRU and modified clock policy. In e-Commerce in Developing Countries: With a focus on e-Business (ECDC), 2015 9th International Conference on (pp. 1-8). IEEE. [13] A. Beloglazov, J. Abawajy, and R. Buyya, “Energy-aware Resource Allocation Heuristics for Efficient Management of Data Centers for Cloud Computing,†Future Generation Computer Systems, Elsevier, Vol. 28, Issue 5, pp. 755-68, 2012. [14] Chung, B. D., Jeon, H., &Seo, K. K., “A framework of cloud service quality evaluation system-focusing on security quality evaluation," International Journal of Software Engineering Application, Vol. 8, Issue 4, pp. 41-46, 2014. [15] D. Jayasinghe, C. Pu, T. Eilam, M. Steinder, I. Whalley, and E. Snible, “Improving Performance and Availability of Services Hosted on IaaS Clouds with Structural Constraint-aware Virtual Machine Placementâ€, IEEE International Conference on Services Computing, pp.72-79, 2011. [16] Ye, K., Jiang, X., Huang, D., Chen, J., & Wang, B. Live migration of multiple virtual machines with resource reservation in cloud computing environments. In Cloud Computing (CLOUD), 2011 IEEE International Conference on IEEE, pp. 267-274, 2011. [17] S. Esfandiarpoor, A. Pahlavan, and M. Goudarzi, “Virtual Machine Consolidation for Data center Energy Improvementâ€, Cornell University Library, Ithaca, New York, 2013. [18] Taha, A., Metzler, P., Trapero, R., Luna, J., & Suri, N. ,â€Identifying and utilizing dependencies across cloud security servicesâ€, In Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, ACM, pp. 329-340. [19] L. Wu, SK Garg, and R. Buyya, “SLA-Based Resource Allocation for Software as a Service Provider (SaaS) In Cloud Computing Environments,†11th IEEE/ACM International Symposium on Cluster, Cloud And Grid Computing, pp. 195-204, 2011. [20] Diallo, M. H., August, M., Hallman, R., Kline, M., Slayback, S. M., & Graves, C.,†AutoMigrate: a framework for developing intelligent, self-managing cloud services with maximum availability, Cluster Computing, Vol. 20, Issue. 3, pp. 1995-2012, 2017. [21] Q. Zhang, Q. Zhu, and R. Boutaba, “Dynamic Resource Allocation For Spot Markets In Cloud Computing Environments,†4th IEEE International Conference on Utility and Cloud Computing, pp. 178-185, 2011. [22] Kumar, M.,†Review of practical issues of resource & risk management in cloud computingâ€, International Journal of Advanced Research in Engineering and Applied Sciences, Vol. 3, Issue. 5, pp. 23-34, 2014. [23] S. Zaman, and D. Grosu, “A Combinatorial Auction-Based Mechanism for Dynamic VM Provisioning and Allocation in Clouds,†IEEE Transactions on Cloud Computing, vol. 1, issue 2, pp.129-141, 2013. [24] A. Quiroz, H. Kim, M. Parashar, N. Gnanasambandam, and N. Sharma, “Towards Autonomic Workload Provisioning for Enterprise Grids and Cloudsâ€, 10th IEEE/ACM International Conference on Grid Computing, Canada, pp. 50-57, 2009. [25] Roy, N., Dubey, A., &Gokhale, A. ,â€Efficient autoscaling in the cloud using predictive models for workload forecastingâ€, In Cloud Computing (CLOUD), 2011 IEEE International Conference on IEEE, pp. 500-507, 2011. [26] Joao N. Silva, L. Veiga, and P. Ferreira, “Heuristic for Resources Allocation on Utility Computing Infrastructuresâ€,ACM Proceedings of the 6th International Workshop on Middleware for Grid Computing, 2008. [27] Z. Xiao, W. Song, and Qi Chen, “Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environmentâ€, IEEE Transactions on Parallel and Distributed system, Vol. 24, Issue 6, pp. 1107-1117, 2013. [28] Qiu, M., &Sha, E. H. M. ,†Cost minimization while satisfying hard/soft timing constraints for heterogeneous embedded systemsâ€, ACM Transactions on Design Automation of Electronic Systems (TODAES), Vol. 14, Issue. 2, pp. 25-32, 2009. [29] Qiang Li, Q. Hao, L. Xiao, and Z. Li, “Adaptive Management of Virtualized Resources in Cloud Computing Using Feedback Control,†IEEE First International Conference on Information Science and Engineering, pp. 99-102, 2009. [30] Ahmed, M. T., & Hussain, A., Survey on energy-efficient cloud computing systems. [31] Esfandiarpoor, S., Pahlavan, A., &Goudarzi, M. ,â€Virtual Machine Consolidation for Datacenter Energy Improvementâ€, 2013. [32] Bertini, L., Leite, J. C., &Mossé, D. ,â€Power optimization for dynamic configuration in heterogeneous web server clustersâ€, Journal of Systems and Software, Vol. 83, Issue. 4, pp. 585-598, 2010.
![]() | V6I202.pdf |
Latest issue :Volume 10 Issue 1 Articles In press
☞ INVITING SUBMISSIONS FOR THE NEXT ISSUE : |
---|
☞ LAST DATE OF SUBMISSION : 31st March 2023 |
---|
☞ SUBMISSION TO FIRST DECISION : In 7 Days |
---|
☞ FINAL DECISION : IN 3 WEEKS FROM THE DAY OF SUBMISSION |
---|