Aazam, M., & Huh, E. N. (2014, December). Advance resource reservation and QoS based refunding in cloud federation. InGlobecom Workshops (GC Wkshps), 2014(pp. 139-143). IEEE.

Aazam, M., & Huh, E. N. (2014, September). Resource management in media cloud of things. InParallel Processing Workshops (ICCPW), 2014 43rd International Conference on(pp. 361-367). IEEE.

Aazam, M., & Huh, E. N. (2015, March). Dynamic resource provisioning through Fog micro datacenter. InPervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on(pp. 105-110). IEEE.

Aazam, M., & Huh, E. N. (2015, March). Fog computing micro datacenter based dynamic resource estimation and pricing model for IoT. InAdvanced Information Networking and Applications (AINA), 2015 IEEE 29th International Conference on(pp. 687-694). IEEE.

Aazam, M., St-Hilaire, M., Lung, C. H., & Lambadaris, I. (2016, May). Mefore: Qoe based resource estimation at fog to enhance qos in iot. InTelecommunications (ICT), 2016 23rd International Conference on(pp. 1-5). IEEE.

Abar, S., Lemarinier, P., Theodoropoulos, G. K., & OHare, G. M. (2014, May). Automated dynamic resource provisioning and monitoring in virtualized large-scale datacenter. InAdvanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on(pp. 961-970). IEEE.

Abderrahim, W., & Choukair, Z. (2015, November). The Cloud Broker Architecture for Dependability assurance in cloud services. InCommunications and Networking (COMNET), 2015 5th International Conference on(pp. 1-6). IEEE.

Achar, R., & Thilagam, P. S. (2014, September). A broker based approach for cloud provider selection. In Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on (pp. 1252-1257). IEEE

Achar, R., Thilagam, P. S., Shwetha, D., & Pooja, H. (2012, November). Optimal scheduling of computational task in cloud using Virtual Machine Tree. InEmerging Applications of Information Technology (EAIT), 2012 Third International Conference on(pp. 143-146). IEEE.

Adrian, B., & Heryawan, L. (2015, November). Analysis of K-means algorithm for VM allocation in cloud computing. InData and Software Engineering (ICoDSE), 2015 International Conference on(pp. 48-53). IEEE.

Agüero, C. E., Koenig, N., Chen, I., Boyer, H., Peters, S., Hsu, J., ... & Krotkov, E. (2015). Inside the virtual robotics challenge: Simulating real-time robotic disaster response.IEEE Transactions on Automation Science and Engineering,12(2), 494-506.

Akbari, E., Cung, F., Patel, H., Razaque, A., & Dalal, H. N. (2016, April). Incorporation of weighted linear prediction technique and M/M/1 Queuing Theory for improving energy efficiency of Cloud computing datacenters. InLong Island Systems, Applications and Technology Conference (LISAT), 2016 IEEE(pp. 1-5). IEEE.

Al Nuaimi, K., Mohamed, N., Al Nuaimi, M., & Al-Jaroodi, J. (2013, July). A partial replication load balancing algorithm for distributed Data as a Service (DaaS). InHigh Performance Computing and Simulation (HPCS), 2013 International Conference on(pp. 35-40). IEEE.

Al-Olimat, H. S., Alam, M., Green, R., & Lee, J. K. (2015, April). Cloudlet scheduling with particle swarm optimization. InCommunication Systems and Network Technologies (CSNT), 2015 Fifth International Conference on(pp. 991-995). IEEE.

Alahmadi, A., Che, D., Khaleel, M., Zhu, M. M., & Ghodous, P. (2015, June). An innovative energy-aware cloud task scheduling framework. InCloud Computing (CLOUD), 2015 IEEE 8th International Conference on(pp. 493-500). IEEE.

Alharbi, Y., & Yang, K. (2016, March). Optimizing jobs' completion time in cloud systems during virtual machine placement. InBig Data and Smart City (ICBDSC), 2016 3rd MEC International Conference on(pp. 1-6). IEEE.

Alhiyari, S., & El-Mousa, A. (2015, November). A Network and Power Aware framework for data centers using virtual machines re-allocation. InApplied Electrical Engineering and Computing Technologies (AEECT), 2015 IEEE Jordan Conference on(pp. 1-6). IEEE.

Ali, A., & Ozkasap, O. (2016, April). Price/cooling aware and delay sensitive scheduling in geographically distributed data centers. InNetwork Operations and Management Symposium (NOMS), 2016 IEEE/IFIP(pp. 1025-1030). IEEE.

Ali, A., & Özkasap, Ö. (2016, November). Workload Management in Distributed Data Centers: Thermal and Spatial Awareness. InSmart Cloud (SmartCloud), IEEE International Conference on(pp. 158-163). IEEE.

Ali, S. K. F., & Hamad, M. B. (2015, September). Implementation of an EDF algorithm in a cloud computing environment using the CloudSim Tool. InComputing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE), 2015 International Conference on(pp. 193-198). IEEE.

Alves, D. C., Batista, B. G., Leite Filho, D. M., Peixoto, M. L., Reiff-Marganiec, S., & Kuehne, B. T. (2016, June). CM Cloud Simulator: A Cost Model Simulator Module for Cloudsim. InServices (SERVICES), 2016 IEEE World Congress on(pp. 99-102). IEEE.

Aral, A., & Ovatman, T. (2015, June). Subgraph matching for resource allocation in the federated cloud environment. InCloud Computing (CLOUD), 2015 IEEE 8th International Conference on(pp. 1033-1036). IEEE.

Artail, A., Frenn, K., Safa, H., & Artail, H. (2015, March). A framework of mobile cloudlet centers based on the use of mobile devices as cloudlets. InAdvanced Information Networking and Applications (AINA), 2015 IEEE 29th International Conference on(pp. 777-784). IEEE.

Asemi, R., Doostsadigh, E., Ahmadi, M., & Malazi, H. T. (2015, August). Energy efficieny in virtual machines allocation for cloud data centers using the imperialist competitive algorithm. InBig Data and Cloud Computing (BDCloud), 2015 IEEE Fifth International Conference on(pp. 62-67). IEEE.

Ashwin, T. S., Domanal, S. G., & Guddeti, R. M. R. (2014, October). A Novel Bio-Inspired Load Balancing of Virtualmachines in Cloud Environment. InCloud Computing in Emerging Markets (CCEM), 2014 IEEE International Conference on(pp. 1-4). IEEE.

Aslanpour, M. S., & Dashti, S. E. (2016, April). SLA-aware resource allocation for application service providers in the cloud. InWeb Research (ICWR), 2016 Second International Conference on(pp. 31-42). IEEE.

Aslanzadeh, S., & Chaczko, Z. (2015, May). Load balancing optimization in cloud computing: Applying Endocrine-particale swarm optimization. InElectro/Information Technology (EIT), 2015 IEEE International Conference on(pp. 165-169). IEEE.

Atiewi, S., Yussof, S., Ezanee, M., & Almiani, M. (2016, April). A review energy-efficient task scheduling algorithms in cloud computing. InLong Island Systems, Applications and Technology Conference (LISAT), 2016 IEEE(pp. 1-6). IEEE.

Bagwaiya, V. and Raghuwanshi, S. K. (2014, March). Hybrid Approach Using Throttled and ESCE Load Balancing Algorithms in Cloud Computing. In Proceedings of the International Conference on Green Computing Communication and Electric Engineering. ICGCCEE

Bazm, M., Khatoun, R., Begriche, Y., Khoukhi, L., Chen, X., & Serhrouchni, A. (2015, June). Malicious virtual machines detection through a clustering approach. InCloud Technologies and Applications (CloudTech), 2015 International Conference on(pp. 1-8). IEEE.

Benali, R., Teyeb, H., Balma, A., Tata, S., & Hadj-Alouane, N. B. (2016, June). Evaluation of traffic-aware VM placement policies in distributed Cloud using CloudSim. InEnabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2016 IEEE 25th International Conference on(pp. 95-100). IEEE.

Bhutani, A., Jauhari, I., & Kaushik, V. K. (2015, March). Optimized virtual machine tree based scheduling technique in cloud using K-way trees. InCognitive Computing and Information Processing (CCIP), 2015 International Conference on(pp. 1-6). IEEE.

Bobelin, L., Legrand, A., Navarro, P., Quinson, M., Suter, F., & Thiéry, C. (2012, May). Scalable multi-purpose network representation for large scale distributed system simulation. InCluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International Symposium on(pp. 220-227). IEEE.

Bonacquisto, P., Di Modica, G., Petralia, G., & Tomarchio, O. (2015). A procurement auction market to trade residual cloud computing capacity.IEEE Transactions on Cloud Computing,3(3), 345-357.

Boomija, M. D. (2016, February). Secure data sharing through additive similarity based ElGamal like encryption. InAdvances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB), 2016 2nd International Conference on(pp. 652-655). IEEE.

Bose, S. K., Brock, S., Skeoch, R., Shaikh, N., & Rao, S. (2011, April). Optimizing live migration of virtual machines across wide area networks using integrated replication and scheduling. InSystems Conference (SysCon), 2011 IEEE International(pp. 97-102). IEEE.

Bosilca, A., Nita, M. C., Pop, F., & Cristea, V. (2014, September). Cloud simulation under fault constraints. InIntelligent Computer Communication and Processing (ICCP), 2014 IEEE International Conference on(pp. 341-348). IEEE.

Bruneo, D., Lhoas, A., Longo, F., & Puliafito, A. (2015). Modeling and evaluation of energy policies in green clouds.IEEE Transactions on Parallel and Distributed Systems,26(11), 3052-3065.

Buyya, R., Ranjan, R., & Calheiros, R. N. (2009, June). Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities. InHigh Performance Computing & Simulation, 2009. HPCS'09. International Conference on(pp. 1-11). IEEE.

Canedo, E. D., de_Sousa Junior, R. T., de_Oliveira Albuquerque, R., & de Mendonça, F. L. L. (2012, October). File Exchange in a Private Cloud supported by a Trust Model. InCyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2012 International Conference on(pp. 89-96). IEEE.

Cao, F., & Zhu, M. M. (2013, August). Energy-aware workflow job scheduling for green clouds. InGreen Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing(pp. 232-239). IEEE.

Cao, F., Zhu, M. M., & Wu, C. Q. (2014, June). Energy-efficient resource management for scientific workflows in clouds. InServices (SERVICES), 2014 IEEE World Congress on(pp. 402-409). IEEE.

Castane, G. G., Nunez, A., & Carretero, J. (2012, July). iCanCloud: A brief architecture overview. InParallel and Distributed Processing with Applications (ISPA), 2012 IEEE 10th International Symposium on(pp. 853-854). IEEE.

Chavan, V., & Kaveri, P. R. (2014, August). Clustered virtual machines for higher availability of resources with improved scalability in cloud computing. InNetworks & Soft Computing (ICNSC), 2014 First International Conference on(pp. 221-225). IEEE.

Chavan, V., & Kaveri, P. R. (2015, March). Shared resource clustering for load balancing and availability in cloud. InComputing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on(pp. 1004-1007). IEEE.

Chavan, V., Dhole, K., & Kaveri, P. R. (2016, March). Dynamic selection of job scheduling policies for performance improvement in cloud computing. InComputing for Sustainable Global Development (INDIACom), 2016 3rd International Conference on(pp. 379-382). IEEE.

Chen, C. J., Liu, Y. S., & Chang, R. G. (2012, September). DCSim: Design Analysis on Virtualization Data Center. InUbiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2012 9th International Conference on(pp. 900-905). IEEE.

Chen, C., Zhu, X., Bao, W., Chen, L., & Sim, K. M. (2013, November). An agent-based emergent task allocation algorithm in clouds. InHigh Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), 2013 IEEE 10th International Conference on(pp. 1490-1497). IEEE.

Chen, R., Zhang, Y., & Zhang, D. (2013, December). A Cloud Task Scheduling Algorithm Based on Users' Satisfaction. InNetworking and Distributed Computing (ICNDC), 2013 Fourth International Conference on(pp. 1-5). IEEE.

Chen, W., & Deelman, E. (2012, October). Workflowsim: A toolkit for simulating scientific workflows in distributed environments. InE-science (e-science), 2012 IEEE 8th International Conference on(pp. 1-8). IEEE.

Chen, W., Chen, J., Tang, J., & Wang, L. (2015, October). A QoS Guarantee Framework for Cloud Services Based on Bayesian Prediction. InAdvanced Cloud and Big Data, 2015 Third International Conference on(pp. 117-124). IEEE.

Chen, X., Chen, H., Zheng, Q., Wang, W., & Liu, G. (2011, December). Characterizing web application performance for maximizing service providers' profits in clouds. InCloud and Service Computing (CSC), 2011 International Conference on(pp. 191-198). IEEE.

Chen, X., Zhang, K., Li, Z., & Wang, H. (2015, January). The Application of Genetic Algorithm in Task Scheduling. InNetwork and Information Systems for Computers (ICNISC), 2015 International Conference on(pp. 332-334). IEEE.

Chowdhury, M. R., Mahmud, M. R., & Rahman, R. M. (2015, June). Clustered based VM placement strategies. InComputer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on(pp. 247-252). IEEE.

Dam, S., Mandal, G., Dasgupta, K., & Dutta, P. (2015, February). Genetic algorithm and gravitational emulation based hybrid load balancing strategy in cloud computing. InComputer, Communication, Control and Information Technology (C3IT), 2015 Third International Conference on(pp. 1-7). IEEE.

De Faria, I., Dantas, M. A., Capretz, M. A., & Higashino, W. A. (2014, June). Network and energy-aware resource selection model for opportunistic grids. InWETICE Conference (WETICE), 2014 IEEE 23rd International(pp. 167-172). IEEE.

De Maio, V., Kecskemeti, G., & Prodan, R. (2016, December). An improved model for live migration in data centre simulators. InProceedings of the 9th International Conference on Utility and Cloud Computing(pp. 108-117). ACM.

Della Vedova, M. L., Tessera, D., & Calzarossa, M. C. (2016, June). Probabilistic provisioning and scheduling in uncertain Cloud environments. InComputers and Communication (ISCC), 2016 IEEE Symposium on(pp. 797-803). IEEE.

Deye, M. M. O., Slimani, Y., & Sene, M. (2013, December). Load Balancing approach for QoS management of multi-instance applications in Clouds. InCloud Computing and Big Data (CloudCom-Asia), 2013 International Conference on(pp. 119-126). IEEE.

Dhurandher, S. K., Obaidat, M. S., Woungang, I., Agarwal, P., Gupta, A., & Gupta, P. (2014, June). A cluster-based load balancing algorithm in cloud computing. InCommunications (ICC), 2014 IEEE International Conference on(pp. 2921-2925). IEEE.

Domanal, S. G., & Reddy, G. R. M. (2013, October). Load balancing in cloud computingusing modified throttled algorithm. InCloud Computing in Emerging Markets (CCEM), 2013 IEEE International Conference on(pp. 1-5). IEEE.

Domanal, S. G., & Reddy, G. R. M. (2014, January). Optimal load balancing in cloud computing by efficient utilization of virtual machines. InCommunication Systems and Networks (COMSNETS), 2014 Sixth International Conference on(pp. 1-4). IEEE.

Domanal, S. G., & Reddy, G. R. M. (2015, November). Load Balancing in Cloud Environment Using a Novel Hybrid Scheduling Algorithm. InCloud Computing in Emerging Markets (CCEM), 2015 IEEE International Conference on(pp. 37-42). IEEE.

Dong, S., & Jianling, G. (2013, December). A strategy of building Cloud Manufacturing Service Platform based on CloudAnalyst. InMechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on(pp. 2143-2147). IEEE.

Dubey, S., Jain, V., & Shrivastava, S. (2013, July). An innovative approach for scheduling of tasks in cloud environment. InComputing, Communications and Networking Technologies (ICCCNT), 2013 Fourth International Conference on(pp. 1-8). IEEE.

Elhady, G. F., & Tawfeek, M. A. (2015, December). A comparative study into swarm intelligence algorithms for dynamic tasks scheduling in cloud computing. InIntelligent Computing and Information Systems (ICICIS), 2015 IEEE Seventh International Conference on(pp. 362-369). IEEE.