Web caching through modified cache replacement algorithm

Sathiyamoorthi, V; Bhaskaran, V. Murali

doi:10.1109/icrtit.2012.6206749

Cited by 8 publications

(4 citation statements)

References 9 publications

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“…Web page ranking: Hyperlinks can be used to rank web pages, in accordance with the interest of the user, such as in search engines [11]. Web caching improvement: The access patterns extracted from web logs can be used to extend caching policies in order to improve the performance of web accesses [12]. Clickstream and web log analysis: Logs can also be used to perform other types of analyses, from simple access statistics to user behavioral patterns, that help to improve the quality of web sites [13].…”

Section: Automatic Summarization Of Contentmentioning

confidence: 99%

A data warehouse to support web site automation

et al. 2014

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Background: Due to the constant demand for new information and timely updates of services and content in order to satisfy the user's needs, web site automation has emerged as a solution to automate several personalization and management activities of a web site. One goal of automation is the reduction of the editor's effort and consequently of the costs for the owner. The other goal is that the site can more timely adapt to the behavior of the user, improving the browsing experience and helping the user in achieving his/her own goals. Methods: A database to store rich web data is an essential component for web site automation. In this paper, we propose a data warehouse that is developed to be a repository of information to support different web site automation and monitoring activities. We implemented our data warehouse and used it as a repository of information in three different case studies related to the areas of e-commerce, e-learning, and e-news. Result:The case studies showed that our data warehouse is appropriate for web site automation in different contexts. Conclusion:In all cases, the use of the data warehouse was quite simple and with a good response time, mainly because of the simplicity of its structure.

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Section: Automatic Summarization Of Contentmentioning

confidence: 99%

A data warehouse to support web site automation

et al. 2014

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“…The cache in CPU utilizes the locality of references within binary code executions [8]; web cache policy is created based on the location of the documents [9]. The cache mechanism proposed in this paper uses the frequency and relevance information which potentially exists within the set of Q&A pairs.…”

Section: Introductionmentioning

confidence: 99%

A Conversation History-Based Q&A Cache Mechanism for Multi-Layered Chatbot Services

Makhkamova

Kim

2021

Applied Sciences

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Chatbot technologies have made our lives easier. To create a chatbot with high intelligence, a significant amount of knowledge processing is required. However, this can slow down the reaction time; hence, a mechanism to enable a quick response is needed. This paper proposes a cache mechanism to improve the response time of the chatbot service; while the cache in CPU utilizes the locality of references within binary code executions, our cache mechanism for chatbots uses the frequency and relevance information which potentially exists within the set of Q&A pairs. The proposed idea is to enable the broker in a multi-layered structure to analyze and store the keyword-wise relevance of the set of Q&A pairs from chatbots. In addition, the cache mechanism accumulates the frequency of the input questions by monitoring the conversation history. When a cache miss occurs, the broker selects a chatbot according to the frequency and relevance, and then delivers the query to the selected chatbot to obtain a response for answer. This mechanism showed a significant increase in the cache hit ratio as well as an improvement in the average response time.

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“…By having web cache, web objects can be kept closer to the client. A web proxy cache saves web object that can be revisited soon closer to the user which leads to decrease of the number of web object requested from the server, hence, reducing the volume of data that is transmitted over the network as well as the delay while accessing the web page [3,4]. Consequently, the overall performance of web system can be improved.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Cooperative Adaptive Weight Ranking Policy via dynamic aging based on NB and J48 classifiers

Al-Qudah

Olanrewaju

Azman

2017

IJEEI

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The increased usage of World Wide Web leads to increase in network traffic and create a bottleneck over the internet performance. For most people, the accessing speed or the response time is the most critical factor when using the internet. Reducing response time was done by using web proxy cache technique that storing a copy of pages between client and server sides. If requested pages are cached in the proxy, there is no need to access the server. But, the cache size is limited, so cache replacement algorithms are used to remove pages from the cache when it is full. On the other hand, the conventional algorithms for replacement such as Least Recently Use (LRU), First in First Out (FIFO), Least Frequently Use (LFU), Randomised Policy, etc. may discard essential pages just before use. Furthermore, using conventional algorithms cannot be well optimized since it requires some decision to evict intelligently before a page is replaced. Hence, this paper proposes an integration of Adaptive Weight Ranking Policy (AWRP) with intelligent classifiers (NB-AWRP-DA and J48-AWRP-DA) via dynamic aging factor. To enhance classifiers power of prediction before integrating them with AWRP, particle swarm optimization (PSO) automated wrapper feature selection methods are used to choose the best subset of features that are relevant and influence classifiers prediction accuracy. Experimental Result shows that NB-AWRP-DA enhances the performance of web proxy cache across multi proxy datasets by 4.

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Web caching through modified cache replacement algorithm

Cited by 8 publications

References 9 publications

A data warehouse to support web site automation

A data warehouse to support web site automation

A Conversation History-Based Q&A Cache Mechanism for Multi-Layered Chatbot Services

Intelligent Cooperative Adaptive Weight Ranking Policy via dynamic aging based on NB and J48 classifiers

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