Predicting relative topological stability of mobile users in a P2P mobile cloud
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Predicting relative topological stability of mobile users in a P2P mobile cloud Pijush Kanti Dutta Pramanik1 · Gautam Bandyopadhyay2 · Prasenjit Choudhury1 Received: 1 July 2020 / Accepted: 23 September 2020 © Springer Nature Switzerland AG 2020
Abstract In a P2P mobile cloud (PMC), an ad-hoc cloud is formed using the closely adjacent smart mobile devices (SMD). Here, a resource-deficient SMD user seeks its neighbouring resource-rich SMDs’ help to carry out a resource-wanting job. To maintain reliability and QoS of the PMC, it is necessary to be assured of the availability of the SMDs before submitting a job request. If the job is distributed to multiple SMDs, instead of assessing the availability of a single SMD, the availability of a group of SMDs is required for a certain period of time. The objective of the paper is to find a stable group of SMD users to increase the QoS of PMC. We aim to propose a novel mobility prediction method to assess the probability of a group of SMD users to be relatively static with respect to each other. We propose an algorithm to estimate the relative stability of an SMD with respect to its neighbourhood over a period of time, irrespective of its geographical location. We assess the short-term relative stability between a group of SMD users as well as the long-term mobility pattern between them. For mobility calculation, we have used real user traces from the UCSD dataset. The estimated results are analyzed and validated using different metrics. Keywords P2P cloud · Ad hoc mobile cloud · Mobility prediction · Relative mobility · Evaluation metrics · Logistic regression · Goodness of fit
1 Introduction
• A real-time application may not tolerate the latency
Along with the growing adoption of Internet of Things (IoT), Internet of Everything (IoE), smart homes, smart cities, smart healthcare, etc. the demand for pervasive computing services has increased significantly. Cloud is a good option to cater to these demands but not always. In the context of this paper, following are some of the issues with the cloud:
• A reluctant user may not want to use paid cloud ser-
required to obtain a cloud service.
• It may happen that due to some reason (e.g., unavail-
vices.
• With limited wireless bandwidth, sending compute and
data-intensive jobs to the cloud causes network and performance bottleneck for mobile cloud services.
In these scenarios, peer-to-peer (P2P) mobile cloud computing, where a mobile device can lend resources from a peer mobile device, can be a worthwhile alternative.
ability of internet connection or network infrastructure failures, mobile data used up and there is no Wi-Fi, etc.) cloud is not accessible.
* Pijush Kanti Dutta Pramanik, [email protected]; Gautam Bandyopadhyay, [email protected]; Prasenjit Choudhury, [email protected] | 1Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India. 2Department of Management Studies, National Institute of Technology, Durgapur, India. SN Applied S
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