Faculty Publications
Permanent URI for this communityhttps://idr.nitk.ac.in/handle/123456789/18736
Publications by NITK Faculty
Browse
4 results
Search Results
Item A review on mobile cloud computing interoperability issues and challenges(Springer, 2020) Debbarma, T.; Chandrasekaran, K.Mobile cloud computing (MCC) is the convergence of two recent technologies namely “Cloud Computing” and “Mobile Computing” with wireless networks as a communication backbone. There are mainly three paradigms that use the concepts of MCC, viz. edge computing, fog computing and cloudlets. Due to the presence of various heterogeneous hardware and software platforms in MCC, there are many interoperability issues which create vendor/services lock-in problems, it also makes data and application portability difficult. This paper studies the different paradigms of MCC and the challenges in making them interoperable in heterogeneous hardware and software platforms. We have summarized some of the MCC-based research papers and their findings. Contribution of this paper is the summary of challenges and research scopes in the field of MCC where it needs to be addressed to mitigate the interoperability issues. © Springer Nature Singapore Pte Ltd. 2020.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.Item Middleware Frameworks for Mobile Cloud Computing, Internet of Things and Cloud of Things: A Review(Springer, 2020) Debbarma, T.; Chandrasekaran, K.Mobile cloud computing (MCC) is an extension of cloud computing (CC) technologies. It provides seamless access of different cloud services to smart mobile devices (SMDs). There is no denying that CC can be scaled to a great extent in terms of computing, storage and other services, but the SMDs used for accessing those services are limited on battery capacity, storage and computing power due to their small form factors. The limitations of SMDs can be minimised/resolved by using MCC platforms. Though MCC is advantageous in many ways, it has its own inherent challenges and issues due to the heterogeneous hardware and software platforms used by SMDs and CC platforms, which makes it difficult to have interoperable services and the development of applications for those devices. This paper studied recently (from 2012 onwards) proposed/developed middlewares for the Internet of things (IoT), cloud of things (CoT), context-aware middlewares (CaMs) and mobile cloud middlewares (MCMs). Different middleware architectures are chosen, as in many cases, these technologies converge in terms of features, functions and services they provide. The study finds that the present middlewares lack in providing an integrated solution that complies with interoperability, portability, adaptability, context awareness, security and privacy, service discovery, fault tolerance requirements. At the end of the paper, the challenges pertaining to achieve portability, interoperability, context awareness, security are discussed and identify the gaps in the existing approaches in MCC interoperability and context adaptability. © 2020, Springer Nature Singapore Pte Ltd.