EFFICIENT INFORMATION MAINTENANCE USING COMPUTATIONAL INTELLIGENCE IN THE MULTI-CLOUD ARCHITECTURE

The multi cloud architecture improvises the constancy of the system associated with the cloud computing as they offer benefits such as the reducing the severity of the vendor lock in, which is the major impediment to the cloud service adoption. However the information maintenance in the multi cloud architecture is a very tedious and challenging as it inherits multitudes of complexity due to various services rendered, interfaces and technologies used. As storage is the fundamental usage of the cloud computing, the failures in the information maintenance (storage, securing, retrieval) in the traditional cloud computing has led to the development of different techniques that are highly reliable and flexible. The paper also scope in developing one such adaptable and highly secure information maintenance using the Cryptography integrated Computational intelligence (CICI) for application deployment in the multi cloud architecture. The proposed method is validated using the network simulator –Two, to verify the performance augmentation of the multi-cloud architecture in its information maintenance.

[1]  A. Rama Mohan Reddy,et al.  An Efficient Security Model in Cloud Computing based on Soft computing Techniques , 2012 .

[2]  Brice Morin,et al.  Towards Model-Driven Provisioning, Deployment, Monitoring, and Adaptation of Multi-cloud Systems , 2013, 2013 IEEE Sixth International Conference on Cloud Computing.

[3]  Jun Li,et al.  Multi-objective data placement for multi-cloud socially aware services , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[4]  Punit Gupta,et al.  Framework to Improve Data Integrity in Multi Cloud Environment , 2014 .

[5]  Debajyoti Mukhopadhyay,et al.  Architecture to Implement Secure Cloud Computing with Elliptic Curve Cryptography , 2015, Smart Comput. Rev..

[6]  Pragya Jain,et al.  Data Management System to Improve Security and Availability in Cloud Storage , 2015, 2015 International Conference on Computational Intelligence and Networks.

[7]  Benjamin Fabian,et al.  Engineering of secure multi-cloud storage , 2016, Comput. Ind..

[8]  Nitin Naik,et al.  Applying Computational Intelligence for enhancing the dependability of multi-cloud systems using Docker Swarm , 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

[9]  Jayashree Agarkhed,et al.  Data storage security algorithms for multi cloud environment , 2016, 2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB).

[10]  Nitin Naik Docker container-based big data processing system in multiple clouds for everyone , 2017, 2017 IEEE International Systems Engineering Symposium (ISSE).

[11]  Valentina Casola,et al.  MUSA Deployer: Deployment of Multi-cloud Applications , 2017, 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

[12]  Pethuru Raj,et al.  Multi-cloud Management: Technologies, Tools, and Techniques , 2018 .

[13]  Ummer Iqbal,et al.  A Provable and Secure Key Exchange Protocol Based on the Elliptical Curve Diffe–Hellman for WSN , 2018, Advances in Intelligent Systems and Computing.

[14]  P. Supraja,et al.  Prediction of availability and integrity of cloud data using soft computing technique , 2019, Soft Comput..

[15]  Jennifer S. Raj Dr,et al.  A COMPREHENSIVE SURVEY ON THE COMPUTATIONAL INTELLIGENCE TECHNIQUES AND ITS APPLICATIONS , 2019 .

[16]  Geir Horn,et al.  Cost Benefits of Multi-cloud Deployment of Dynamic Computational Intelligence Applications , 2019, AINA Workshops.

[17]  Smys S Dr,et al.  VIRTUAL STRUCTURE FOR SUSTAINABLE WIRELESS NETWORKS IN CLOUD SERVICES AND ENTERPRISE INFORMATION SYSTEM , 2019, Journal of ISMAC.