An analysis of the application of fuzzy logic in cloud computing

[1]  Rami Bahsoon,et al.  Dynamic QoS Optimization Architecture for Cloud-Based DDDAS , 2013, ICCS.

[2]  Seyyed Mohsen Hashemi,et al.  A Novel-Scheduling Algorithm for Cloud Computing based on Fuzzy Logic , 2013 .

[3]  Kamalanathan Chandran,et al.  Designing a fuzzy-logic based trust and reputation model for secure resource allocation in cloud computing , 2016, Int. Arab J. Inf. Technol..

[4]  Qingwei Chen,et al.  High-order sliding mode-based synchronous control of a novel stair-climbing wheelchair robot , 2015 .

[5]  Jianhua Gu,et al.  A New Resource Scheduling Strategy Based on Genetic Algorithm in Cloud Computing Environment , 2012, J. Comput..

[6]  Guang Gong,et al.  Fuzzy Authorization for Cloud Storage , 2014, IEEE Transactions on Cloud Computing.

[7]  Yixiong Feng,et al.  A fuzzy QoS-aware resource service selection considering design preference in cloud manufacturing system , 2016 .

[8]  Elizabeth Chang,et al.  TRUST-EVALUATION METRIC FOR CLOUD APPLICATIONS , 2011 .

[9]  Bing Zeng,et al.  Information Technology and Quantitative Management ( ITQM 2013 ) A trust evaluation model for cloud computing , 2013 .

[10]  Wenzhong Li,et al.  Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing , 2015, IEEE/ACM Transactions on Networking.

[11]  Antoine B. Bagula,et al.  Improving Quality-of-Service in Cloud/Fog Computing through Efficient Resource Allocation † , 2019, Sensors.

[12]  Tarek Helmy,et al.  Fuzzy Logic-Based Scheme for Load Balancing in Grid Services , 2012 .

[13]  Hong Liang,et al.  A Parallel Task scheduling Algorithm Based on Fuzzy Clustering in Cloud Computing Environment , 2014 .

[14]  Venkateshwarlu Velde,et al.  An advanced algorithm for load balancing in cloud computing using fuzzy technique , 2017, 2017 International Conference on Intelligent Computing and Control Systems (ICICCS).

[15]  Muhammad Imran Tariq,et al.  Risk Based NIST Effectiveness Analysis for Cloud Security , 2017 .

[16]  Jiguo Li,et al.  Flexible and Fine-Grained Attribute-Based Data Storage in Cloud Computing , 2017, IEEE Transactions on Services Computing.

[17]  Jason Jianjun Gu,et al.  Special issue on fuzzy theoretical model analysis for signal processing , 2019, J. Intell. Fuzzy Syst..

[18]  Hani Hagras,et al.  A cloud computing based many objective type-2 fuzzy logic system for mobile field workforce area optimization , 2016, Memetic Comput..

[19]  Cengiz Kahraman,et al.  Multicriteria Evaluation of Cloud Service Providers Using Pythagorean Fuzzy TOPSIS , 2018, J. Multiple Valued Log. Soft Comput..

[20]  John W. Rittinghouse,et al.  Cloud Computing: Implementation, Management, and Security , 2009 .

[21]  Keke Gai,et al.  Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing , 2016, J. Netw. Comput. Appl..

[22]  Suhib Bani Melhem,et al.  Markov Prediction Model for Host Load Detection and VM Placement in Live Migration , 2018, IEEE Access.

[23]  V. Aswin,et al.  Medical Diagnostics Using Cloud Computing with FuzzyLogic and Uncertainty Factors in Mobile Devices , 2013 .

[24]  Sanjeev Jain,et al.  A New Fuzzy Logic and GSO based Load balancing Mechanism for Public Cloud , 2014 .

[25]  Kousik Dasgupta,et al.  Load Balancing in Cloud Computing using Stochastic Hill Climbing-A Soft Computing Approach , 2012 .

[26]  Ngoc Thanh Nguyen,et al.  Theoretical advances and applications of intelligent paradigms , 2009, J. Intell. Fuzzy Syst..

[27]  Gengchen Liu,et al.  An energy management of plug-in hybrid electric vehicles based on driver behavior and road information , 2017, J. Intell. Fuzzy Syst..

[28]  Christian Esposito,et al.  Smart Cloud Storage Service Selection Based on Fuzzy Logic, Theory of Evidence and Game Theory , 2016, IEEE Transactions on Computers.

[29]  Ki-Il Kim,et al.  A study on fuzzy logic based cloud computing , 2018, Cluster Computing.

[30]  Himanshu Agarwal,et al.  Reliability Estimation of Services Oriented Systems Using Adaptive Neuro Fuzzy Inference System , 2014 .

[31]  Yong Huang,et al.  Mobile Cloud Computing Network Attack and Defense Learning System Based on Fuzzy Soft Sets , 2013, ITQM.

[32]  Behrouz Homayoun Far,et al.  Simultaneous Cost and QoS Optimization for Cloud Resource Allocation , 2017, IEEE Transactions on Network and Service Management.

[33]  Vijander Singh,et al.  Robust adaptive fuzzy controller applied to double inverted pendulum , 2017, J. Intell. Fuzzy Syst..

[34]  Muhammad Imran Tariq,et al.  Agent Based Information Security Framework for Hybrid Cloud Computing , 2019, KSII Trans. Internet Inf. Syst..

[35]  Nikil Dutt,et al.  HESSLE-FREE , 2019, ACM Trans. Embed. Comput. Syst..

[36]  Rajender Singh Chhillar,et al.  A New Load Balancing Technique for Virtual Machine Cloud Computing Environment , 2013 .

[37]  Uddalak Chatterjee A Study on Efficient Load Balancing Algorithms in Cloud Computing Environment , 2013 .

[38]  Li Lin,et al.  PQsel: combining privacy with quality of service in cloud service selection , 2016, Int. J. Big Data Intell..

[39]  Aarti Singh,et al.  Autonomous Agent Based Load Balancing Algorithm in Cloud Computing , 2015 .

[40]  Nathan L. Clarke,et al.  Cloud QoS Scaling by Fuzzy Logic , 2014, 2014 IEEE International Conference on Cloud Engineering.

[41]  B. Saravana Balaji,et al.  Fuzzy service conceptual ontology system for cloud service recommendation , 2016, Comput. Electr. Eng..

[42]  Amandeep Verma,et al.  An Efficient Approach to Genetic Algorithm for Task Scheduling in Cloud Computing Environment , 2012 .

[43]  Zhijia Chen,et al.  A dynamic resource scheduling method based on fuzzy control theory in cloud environment , 2015 .

[44]  Kim-Kwang Raymond Choo,et al.  Fuzzy Identity-Based Data Integrity Auditing for Reliable Cloud Storage Systems , 2019, IEEE Transactions on Dependable and Secure Computing.

[45]  Shabnam Sharma,et al.  An Optimal Load Balancing Technique for Cloud Computing Environment using Bat Algorithm , 2016 .

[46]  Soheil Ghiasi,et al.  Distill-Net , 2018, ACM Trans. Embed. Comput. Syst..

[47]  Muhammad Imran Tariq,et al.  Predictive Variables for Agile Development Merging Cloud Computing Services , 2019, IEEE Access.

[48]  Muhammad Imran Tariq,et al.  Analysis of ISO 27001: 2013 Controls Effectiveness for Cloud Computing , 2016, ICISSP.

[49]  Xu Chen,et al.  Decentralized Computation Offloading Game for Mobile Cloud Computing , 2014, IEEE Transactions on Parallel and Distributed Systems.

[50]  Danilo Ardagna,et al.  Quality-of-service in cloud computing: modeling techniques and their applications , 2014, Journal of Internet Services and Applications.

[51]  Achim Streit,et al.  A utility-based approach for customised cloud service selection , 2015, Int. J. Comput. Sci. Eng..

[52]  Keqin Li,et al.  Toward trustworthy cloud service selection: A time-aware approach using interval neutrosophic set , 2016, J. Parallel Distributed Comput..

[53]  Nebojsa M. Ralevic,et al.  Two-Stage Fuzzy Logic Model for Cloud Service Supplier Selection and Evaluation , 2018, Mathematical Problems in Engineering.

[54]  Jae-Kwon Kim,et al.  Fuzzy Logic-driven Virtual Machine Resource Evaluation Method for Cloud Provisioning Service , 2013 .

[55]  Yanchun Zhang,et al.  Cloud-FuSeR: Fuzzy ontology and MCDM based cloud service selection , 2016, Future Gener. Comput. Syst..

[56]  Xin Wang,et al.  QuickSync: Improving Synchronization Efficiency for Mobile Cloud Storage Services , 2017, IEEE Transactions on Mobile Computing.

[57]  Muhammad Imran Tariq Analysis of the Effectiveness of Cloud Control Matrix for Hybrid Cloud Computing , 2018 .

[58]  Inderveer Chana,et al.  QRSF: QoS-aware resource scheduling framework in cloud computing , 2014, The Journal of Supercomputing.

[59]  Farhad Ramezani,et al.  Fuzzy logic-based algorithm resource scheduling for improving the reliability of cloud computing , 2016 .

[60]  Huber Flores,et al.  Adaptive code offloading for mobile cloud applications: exploiting fuzzy sets and evidence-based learning , 2013, MCS '13.

[61]  Chuang Lin,et al.  Efficient dynamic task scheduling in virtualized data centers with fuzzy prediction , 2011, J. Netw. Comput. Appl..

[62]  Gregoris Mentzas,et al.  PuLSaR: preference-based cloud service selection for cloud service brokers , 2015, Journal of Internet Services and Applications.

[63]  Xu Wu,et al.  A Fuzzy Reputation-based Trust Management Scheme for Cloud Computing , 2012 .

[64]  V. Venkatesa Kumar,et al.  Job Scheduling Using Fuzzy Neural Network Algorithm in Cloud Environment , 2012 .

[65]  C. Nelson Kennedy Babu,et al.  Moving average fuzzy resource scheduling for virtualized cloud data services , 2017, Comput. Stand. Interfaces.