DOI: https://doi.org/10.14710/jtsiskom.8.1.2020.1-5

Algoritme penggantian cache proxy terdistribusi untuk meningkatkan kinerja server web

Distributed proxy cache replacement algorithm to improve web server performance

Department of Computer Engineering, Universitas Kristen Maranatha, Indonesia

Received: 18 Nov 2018; Revised: 26 Jul 2019; Accepted: 7 Aug 2019; Available online: 5 Nov 2019; Published: 31 Jan 2020.
Open Access Copyright (c) 2020 Jurnal Teknologi dan Sistem Komputer
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:
Abstract
The performance of web processing needs to increase to meet the growth of internet usage, one of which is by using cache on the web proxy server. This study examines the implementation of the proxy cache replacement algorithm to increase cache hits in the proxy server. The study was conducted by creating a clustered or distributed web server system using eight web server nodes. The system was able to provide increased latency by 90 % better and increased throughput of 5.33 times better.
Fulltext View|Download Email colleagues
Keywords: proxy server; distribute proxy cache; web QoS; cache replacement
Funding: Universitas Kristen Maranatha

Article Metrics:

Article Info
Section: Original Research Articles
Language : ID
Most viewed articles
Perancangan Perangkat Lunak untuk Analisis Tingkat Fokus pada Citra Mikroskop Digital Menggunakan Proses Ekstraksi Ciri Perancangan Sistem Informasi Akademik Berbasis Mobile Web Studi Kasus di Program Studi Sistem Komputer Universitas Diponegoro Pembuatan Aplikasi Antar-Jemput Laundry Berbasis Web Service pada Platform Android Sistem Pengendali Peralatan Elektronik dalam Rumah secara Otomatis Menggunakan Sensor PIR, Sensor LM35, dan Sensor LDR Pemanfaatan Augmented Reality untuk Pembelajaran Pengenalan Alat Musik Piano More articles
Most cited articles
K-means-SMOTE for handling class imbalance in the classification of diabetes with C4.5, SVM, and naive Bayes Intelligent Robot for Measuring Consumer Satisfaction at Shopping Center Pembuatan Aplikasi Terintegrasi, Pendataan Barang di Gudang Berbasis Android Perancangan Sistem Sensor Pemonitor Lingkungan Berbasis Jaringan Sensor Nirkabel Pengembangan Teknologi Informasi Mobile Learning Universitas Diponegoro Berbasis Android More cited articles
  1. A. Loutonen and K. Altis, “World Wide Web proxies,” Computer Network and ISDN Systems, vol. 27, no. 2, pp. 147-154, 1994. doi: 10.1016/0169-7552(94)90128-7
  2. M. Abrams, C. R. Standridge, G. Abdulla, S. Williams, and E. A. Fox, “Caching proxies: Limitations and potentials,” in Fourth International World Wide Web Conference, Boston, USA, Dec. 1995, pp. 119 - 133
  3. J. Zhu, G. W. Yang, M. Hu, H-M. Shen, “A site-based proxy cache,” Journal of Computer Science and Technology, vol. 18, no. 2, pp. 258-263, 2003
  4. A. Vakali, “Proxy cache replacement algorithms: a history-based approach,” Journal World Wide Web, vol. 4, no. 4, pp. 277-297, 2001
  5. M-K. Liu, F-Y. Wang, and D. D. Zeng, “Web caching : a way to improve web QoS,” Journal Computer Science and Technology, vol. 19, no. 2, pp. 113 -127, 2004
  6. Y. Liu. Y. Wang, and H. Du, “Strong cache consistency on world wide web,” in 3rd International Conference on Advanced Computer Theory and Engineering, Chengdu, China, Aug. 2010, pp. 62-65. doi: 10.1109/ICACTE.2010.5579237
  7. J. Boyar, M. R. Ehmsen, J. S. Kohrt, and K. S. Larsen, “A theoretical comparison of LRU and LRU-K,” Acta Informatica, vol. 47, no. 7-8, 2010, pp. 359-374. doi: 10.1007/s00236-010-0123-6
  8. S. Roy, “H-NMRU: an efficient cache replacement policy with low area,” International Journal of Parallel Programming, vol. 48, no. 3-4, pp. 277-287, 2010. doi: 10.1007/s10766-010-0130-9
  9. A. Swami and K. B. Schiefer, “Estimating page fetches for index scans with finite LRU buffers,” The International Journal on Verly Large Data Bases, vol. 4, no. 4, pp. 675-701. 1995. doi: 10.1007/BF01354879
  10. K. Geetha and N. A. Gounden, “Dynamic semantic lfu policy with victim tracer (DSLV): a customizing technique for client cache,” Arabian Journal for Science and Engineering, vol. 42, no. 2, pp 725-737, 2017. doi: 10.1007/s13369-016-2287-z
  11. R. Rashkovits, “Preference-based content replacement using recency-latency tradeoff,” World Wide Web, vol. 19, no. 3, pp. 323-350, 2016. doi: 10.1007/s11280-014-0313-
  12. A. P. Negrao, C. Roque, P. Ferreira, and L. Veiga, “An adaptive semantics-aware replacement algorithm for web caching,” Journal of Internet Services and Application, vol. 6, no. 4, 2015. doi: 10.1186/s13174-015-0018-4
  13. A. M. K. Cheng and Z. Zhang, “Improving web server performance with adaptive proxy caching in soft real-time mobile applications,” The journal of VLSI Signal Processing Systems for Signal, Image and Video Technology, vol. 47, no. 2, pp. 103-115, 2007. doi: 10.1007/s11265-006-0021-x
  14. N. Xiao, Y-J. Zhao, F. Liu, Z-G. Chen, “Dual queues cache replacement algorithm based on sequentiality detection,” Science China Information Sciences, vol. 55, no. 1, pp. 191-199, 2012. doi: 10.1007/s11432-011-4213-z
  15. C. Li, P. Shilane, F. Douglis, and G. Wallace, “Pannier: a container-based flash cache for compound objects,” in 16th Annual Middleware Conference, Vancouver, Canada, Nov. 2015, pp. 50-62. doi: 10.1145/2814576.2814734
  16. K. C. Tsui, J. Liu, and M. J. Kaiser, “Self-organized load balancing in proxy servers: algorithms and performance,” Journal of Intelligent Information Systems, vol. 20, no. 1, pp. 31-50, 2003. doi: 10.1023/A:1020943021842
  17. I. Ivanisenko, “Methods and Algorithms of Load balancing,” International Journal Information Technologies & Knowledge, vol. 9, no. 4, pp. 340-375, 2015

Last update:

No citation recorded.

Last update: 2024-12-25 11:09:52

No citation recorded.