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Enhancing Performance of Proxy Cache Servers Using Daemon Process

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Advances in Data and Information Sciences

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 39))

Abstract

The significant increase in Internet users has led to an enormous rise in the network traffic which had a great impact on the characteristics of the network like reduced bandwidth, increased latency and higher response time for users. The most common method used is proxy cache server which is deployed to reduce the web traffic and workload on server. Proxy cache server stores the data locally but there is a problem of stale data. There are many instances when the proxy cache returns the data stored in its cache rather than returning the latest version from the original server. This paper is concerned with a methodology that addresses this issue of stale data by introducing Daemon process. Daemon is a background process that updates the data present in the cache periodically. It does not interfere with the processes of the user and updates the data when minimum number of users is online. Understanding and identifying the main characteristics is crucial part to plan techniques that help us save the bandwidth, improve access latency and response time. This paper focuses on the factors affecting the proxy cache server as well as on Daemon process.

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Acknowledgements

We express our special thanks of gratitude to our Director Dr. Ram Gaud (SVKMS NMIMS, Shirpur Campus). Also we would like to thank our Associate Dean Dr. Nitin S. Choubey (MPSTME, Shirpur Campus) for his continuous support and guidance. We would like to acknowledge the support of the ‘Computer Engineering Department’ of Mukesh Patel School of Technology Management and Engineering without which the completion of project would not have been possible.

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Correspondence to Sachin Chavan .

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Chavan, S., Lodha, N., Rautela, A., Gupta, K. (2019). Enhancing Performance of Proxy Cache Servers Using Daemon Process. In: Kolhe, M., Trivedi, M., Tiwari, S., Singh, V. (eds) Advances in Data and Information Sciences . Lecture Notes in Networks and Systems, vol 39. Springer, Singapore. https://doi.org/10.1007/978-981-13-0277-0_20

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  • DOI: https://doi.org/10.1007/978-981-13-0277-0_20

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0276-3

  • Online ISBN: 978-981-13-0277-0

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