Cache Performance Optimization of QoC Framework

Laghari, Asif Ali and He, Hui and Laghari, Rashid Ali and Khan, Asiya and Yadav, Rahul (2019) Cache Performance Optimization of QoC Framework. EAI Endorsed Transactions on Scalable Information Systems, 6 (20): e7. ISSN 2032-9407

[thumbnail of eai.13-7-2018.156594.pdf]
eai.13-7-2018.156594.pdf - Published Version
Available under License Creative Commons Attribution No Derivatives.

Download (2MB) | Preview


The main aim of this paper is based on the cache performance test of the QoC: quality of experience framework for cloud computing on the server. QoC framework is based on the server-side design and implementation of the use of hierarchical architecture. Reverse proxy technology is used to build a server cluster, which is composed of front-end access layer to achieve the server for load balancing, improve the performance of the system and the use of built-in distributed cache server. The cluster consists of the cache acceleration layer, which reduces the load of the backend database. The second database server cluster, which is constructed by the database master and slave synchronization technology, forms the data storage layer, which realizes the database read and writes separation and data redundancy. The server-side hierarchical architecture improves the performance and stability of the entire system, and has a high degree of scalability, laying a solid foundation for future expansion of system business logic and increases user volume. This paper presents new cache replacement algorithm for inconsistent video file size and then analyzes the specific needs for the multi-terminal type of QoC framework, and gives the client and server-side outline design; it describes the implementation details of the client and the server-side and finally the whole system of detailed functional and performance testing.

Item Type: Article
Uncontrolled Keywords: Load balancing, Cache management, QoE, QoC, Video platform, Cache replacement algorithms
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 08 Oct 2020 13:57
Last Modified: 08 Oct 2020 13:57

Actions (login required)

View Item
View Item