SA2-MCD: Secured Architecture for Allocation of Virtual Machine in Multitenant Cloud Databases
Tài liệu tham khảo
Mell, 2009
Wang, 2011, Towards building a cloud for scientific applications, Adv. Eng. Softw., 42, 714, 10.1016/j.advengsoft.2011.05.007
Wang, 2010, Cloud computing: a perspective study, New Gener. Comput., 28, 137, 10.1007/s00354-008-0081-5
Wang, 2012, Resource management of distributed virtual machines, Int. J. Ad Hoc Ubiq. Comput., 10, 96, 10.1504/IJAHUC.2012.048261
Wang, 2011, Virtual workflow system for distributed collaborative scientific applications on Grids, Comput. Electr. Eng., 37, 300, 10.1016/j.compeleceng.2011.01.004
Joseph, 2010, A view of cloud computing, Commun. ACM, 53, 4
Nathuji, 2010, Q-clouds: managing performance interference effects for QoS-aware clouds
Raw, 2013, Security issues and solutions in Vehicular Ad hoc Network: a review approach, 339347
Sadashiv, 2011, Cluster, grid and cloud computing: a detailed comparison
Jansen, 2011, Cloud hooks: security and privacy issues in cloud computing
Verma, 2016, An efficient data replication and load balancing technique for fog computing environment
Johnson, 2009, Cloud computing types: public cloud, hybrid cloud, private cloud
Hamilton
Weinman, 2012
Mohammad Firoj, 2018, A decision support system for moving workloads to public clouds, GSTF J. Comput., 1, 1
Kumar, 2018, Global host allocation policy for virtual machine in cloud computing, Int. J. Inf. Technol., 10, 279
Soror, 2010, Automatic virtual machine configuration for database workloads, ACM Trans. Database Syst., 35, 7, 10.1145/1670243.1670250
Soundararajan, 2009, Dynamic resource allocation for database servers running on virtual storage
Pathirage, 2012, A scalable multi-tenant architecture for business process executions, Int. J. Web Serv. Res., 9, 21, 10.4018/jwsr.2012040102
Ma, 2014, An online social mutual help architecture for multi-tenant mobile clouds, Int. J. Intell. Inform. Datab. Syst., 8, 359
Armbrust, 2015, Spark SQL: relational data processing in spark
Gennaro, 2010, Non-interactive verifiable computing: outsourcing computation to untrusted workers
Rahmani, 2020, Burst-aware virtual machine migration for improving performance in the cloud, Int. J. Commun. Syst., 10.1002/dac.4319
Krishnan, 2019, SDN/NFV security framework for fog-to-things computing infrastructure, Softw. Pract. Exp., 1
Bouzerzour, 2020, A survey on the service interoperability in cloud computing: client-centric and provider-centric perspectives, Softw. Pract. Exp., 1
Akbar Neghabi, 2019, Nature-inspired meta-heuristic algorithms for solving the load balancing problem in the software-defined network, Int. J. Commun. Syst., 10.1002/dac.3875
Brogi, 2019, How to place your apps in the fog: state of the art and open challenges, Softw. Pract. Exp., 1
Remesh Babu, 2019, Service-level agreement–aware scheduling and load balancing of tasks in cloud, Softw. Pract. Exp., 1
Rodrigues, 2019, Cloud broker proposal based on multicriteria decision-making and virtual infrastructure migration, Softw. Pract. Exp., 1
Singh, 2019, Load balancing aware scheduling algorithms for fog networks, Softw. Pract. Exp., 1
Arulkumar, 2019, Load balancing in cloud computing using water wave algorithm, Concurr. Comput., Pract. Exp.
Malik, 2020, EFFORT: energy efficient framework for offload communication in mobile cloud computing, Softw. Pract. Exp., 1
Gonçalves, 2020, Resource allocation based on redundancy models for high availability cloud, Computing, 102, 43, 10.1007/s00607-019-00728-1
Yang, 2020, Implementation of an energy saving cloud infrastructure with virtual machine power usage monitoring and live migration on OpenStack, Computing, 102, 1547, 10.1007/s00607-020-00808-7
Zhongsheng Qian, et al., An approach to dynamically assigning cloud resource considering user demand and benefit of cloud platform, 2020.
Tan, 2020, Lightweight edge-based KNN privacy-preserving classification scheme in cloud computing circumstance, Concurr. Comput., Pract. Exp., 10.1002/cpe.5804
Aslam, 2020, Security and trust preserving inter- and intra-cloud VM migrations, Int. J. Netw. Manag., 1
Yadav, 2018, Security solution to prevent data leakage over multitenant cloud infrastructure, Int. J. Pure Appl. Math., 118, 269
Prassanna, 2019, Threshold based multi-objective memetic optimized round Robin scheduling for resource efficient load balancing in cloud, Mob. Netw. Appl., 24, 1214, 10.1007/s11036-019-01259-x
Tseng, 2018, Dynamic resource prediction and allocation for cloud data centre using the multi-objective genetic algorithm, IEEE Syst. J., 12, 1688, 10.1109/JSYST.2017.2722476
Chou, 2018, DPRA: dynamic power-saving resource allocation for cloud data centre using particle swarm optimization, IEEE Syst. J., 12, 1554, 10.1109/JSYST.2016.2596299
Jain, 2019, A proactive approach for resource provisioning in cloud computing, Int. J. Recent Technol. Eng., 7, 435
Aliyu
Gaba, 2020, Vehicular cloud and fog computing architecture, applications, services, and challenges, 268
Curino, 2011, Relational cloud: a database-as-a-service for the cloud
Calheiros, 2011, CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms, Softw. Pract. Exp., 41, 23, 10.1002/spe.995
Aminullah, 2012, Cost estimation of service delivery in cloud computing
