Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
Browse
2 results
Search Results
Item Interoperability based resource management in cloud computing by adaptive dimensional search(Institute of Electrical and Electronics Engineers Inc., 2017) Anithakumari, S.; Chandrasekaran, K.The concept of cloud computing is introduced as a new computing technology based on different computing techniques such as virtualization, which implements applications on virtual machines procreated on physical machines. The deployment of cloud computing can be of different types based on the implementation of service model and the availability of cloud services to the end users. One of the challenges need to be faced by cloud computing is related to the data interoperability and portability. Here we have established a mechanism for flexible resource allocation between the cloud service providers based on SLA mapping and clustering techniques to propose an interoperable cloud computing environment. This interoperabilityis made possible with the use of multiple techniques such as Adaptive Dimensional Search Algorithm (ADS), Clustering and SLA mapping. © 2017 IEEE.Item Adaptive resource allocation in interoperable cloud services(Springer Verlag, 2019) Anithakumari, S.; Chandrasekaran, K.Interoperable cloud computing is the one in which the services or resources of one cloud can be accessed by another cloud. The implementation of interoperable cloud architecture is a challenging one because various characteristics of the cloud computing environment need to be considered for its achievement. The aim of this work is to implement interoperable cloud computing with the awareness of service-level agreements and to provide adequate resources when shortage of resources occurs at one cloud while providing the agreed services to the user. To achieve this, we proposed a methodology of interoperability-based flexible resource management. Initially, the SLA templates of private and public cloud are mapped using the Soft TF-IDF metric with case-based reasoning (CBR) approach. Then, based on the mapped SLAs, different clusters of cloud providers are formed with the help of K-means clustering technique. And finally, if one of the cloud in a cluster faces the problem of resource shortage, the flexible resource allocation is provided through the adaptive dimensional search algorithm. © Springer Nature Singapore Pte Ltd. 2019.