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Amutharaj, J.
- An Empirical Study of Replication Algorithms in Content Distribution Networks
Abstract Views :189 |
PDF Views:3
Authors
Affiliations
1 Department of CSE, Arulmigu Kalasalingam College of Engineering, Krishnankoil, Virudhunagar (Dist.), Tamilnadu, IN
2 Department of Computer Science and Engineering, Arulmigu Kalasalingam College of Engineering, Krishnankoil, Virudhunagar (Dist.), Tamilnadu, IN
1 Department of CSE, Arulmigu Kalasalingam College of Engineering, Krishnankoil, Virudhunagar (Dist.), Tamilnadu, IN
2 Department of Computer Science and Engineering, Arulmigu Kalasalingam College of Engineering, Krishnankoil, Virudhunagar (Dist.), Tamilnadu, IN
Source
Networking and Communication Engineering, Vol 2, No 7 (2010), Pagination: 167-174Abstract
In this paper, we consider an efficient and resilient large file content push problem in a large-scale distributed Content Delivery Networks. Contents in CDN are replicated in many surrogate servers according to some content distribution strategies dictated by the application environment. Hence, we propose a novel content distribution policy to replicate the content from the origin server to a set of surrogate servers in an efficient and reliable manner. The contributions of this paper are twofold. First we introduce a novel Hybrid Replica (HR) algorithm and theoretically analyze its performance with traditional content replication algorithms. Then, by means of a simulation based performance evaluation, we assess the efficiency and resiliency of the proposed Hybrid Replica (HR), and compare its performance with traditional content replication algorithms as stated in the literature. We demonstrate in experiment that Hybrid Replica (HR) significantly reduces the file replication time as compared with traditional strategies such as sequential unicast, multiple unicast, Fast Replica (FR), Resilient Fast Replica(R-FR), and Tornado codes (TC). This paper also analyzes the performance of sequential unicast, multiple unicast, Fast Replica (FR), Resilient Fast Replica(R-FR), Tornado codes, and Hybrid Replica (HR) algorithms in terms of average replication time and maximum replication time.
Keywords
CDN, Fast Replica, Resilient Fast Replica, Hybrid Replica, Tornado Codes.
- Optimization of Smart Mobile Device Work Time Using an Optimal Decision Tree Classifier and Data Caching Technique in on Premise Network
Abstract Views :239 |
PDF Views:1
Authors
Affiliations
1 Department of Computer Science and Engineering, Ballari Institute of Technology and Management, Ballari, Karnataka, IN
2 Department of Information Science and Engineering, RajaRajeswari College of Engineering, Bengaluru, Karnataka, IN
1 Department of Computer Science and Engineering, Ballari Institute of Technology and Management, Ballari, Karnataka, IN
2 Department of Information Science and Engineering, RajaRajeswari College of Engineering, Bengaluru, Karnataka, IN
Source
International Journal of Computer Networks and Applications, Vol 8, No 6 (2021), Pagination: 702-718Abstract
Today, Most smart mobile devices are facilitated with advanced processing hardware and short-range data communication systems by which they are practically capable to provide effective execution services to the neighbor mobile device client request and/or receive services on a need basis within the local area network. Therefore, to relish the powerful capability of these smart mobile devices in the private campus network, we propose an intelligent composite offload decision algorithm (ICODA) framework that attempts to connect several smart mobile devices in wireless local area network and make them apply intelligence before servicing each other request preferably without the internet. The significance of the proposed framework is that it has a mechanism to make a data offloading decision using an optimal decision tree classifier model and also a mechanism to avoid data offloading operation using the data cache neural networks model. The experimental results obtained are obvious to show the minimal client system battery utilization and hence an optimized work time for a smart mobile client device that participates in the ICODA framework.Keywords
Private Network, Client-Side Local Cache, Device Status Report Generation, Data Offload Decision, Server Side Global Cache, Average Battery Energy and Task Run Time Measure, Optimized Work Time.Full Text
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