An overhead and resource contention aware analytical model for overloaded Web servers

Mathur, Vipul; Apte, Varsha

doi:10.1016/j.jss.2008.03.068

Cited by 4 publications

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Markov models (MMs) are commonly used in the identification of the next page to be accessed by the Web site user based on the sequence of previously accessed pages (Bouras and Konidaris 2004, Chen et al 2002, Deshpande and Karypis 2004, Eirinaki et al 2005, Jespersen et al 2003, Sarwar et al 2001, Zhu et al 2002a. They have been proposed as the underlying modelling techniques for Web prefetching applications (Pons 2006), to minimize system latency or to improve Web server efficiency (Mathur and Apte 2007).…”

Section: Markov Modelmentioning

confidence: 99%

An integrated model for next page access prediction

Khalil

Wang

2009

IJKWI

View full text Add to dashboard Cite

Recent research initiatives have addressed the need for improved performance of Web page prediction that would profit many applications, e-business in particular. The most widely used techniques for this purpose are Markov model, association rules and clustering. Implementing pattern discovery techniques as such helps predict the next page to be accessed a Web user based on the user's previous browsing patterns. However, each of the aforementioned techniques has its own limitations, especially when it comes to accuracy and space complexity. This paper provides an improved prediction accuracy and state space complexity by using novel approaches that combine clustering, association rules and Markov models. The three techniques are integrated together to maximize their strengths. The integration model has been shown to achieve better prediction accuracy than individual and other integrated models.

show abstract

Section: Markov Modelmentioning

confidence: 99%

An integrated model for next page access prediction

Khalil

Wang

2009

IJKWI

View full text Add to dashboard Cite

show abstract

A distributed server architecture supporting dynamic resource provisioning for BPM-oriented workflow management systems

Tsai

Huang

Wang

et al. 2010

Journal of Systems and Software

View full text Add to dashboard Cite

Congestion performance improvement in wireless sensor networks

Xiong

Lyu

2012

2012 IEEE Aerospace Conference

View full text Add to dashboard Cite

Wireless sensor networks (WSNs) have expanded their monitoring and tracking applications into wide areas, such as civil, military, and aerospace fields. Despite their important role, their performance under harsh conditions still remains to be improved. Specifically, when a WSN suffers congestion, the base station (BS) can hardly receive any data from the faraway sensor nodes while it still gets a moderate amount of data from the near-by nodes. Since the goal of WSN applications is to monitor the whole designated area, such unfairness is not acceptable. In addition, the average latency during congestion is intolerably long, failing the data freshness requirement of WSN applications. Although the fairness and latency performance of congested WSNs is very crucial for WSN applications, their degradation during congestion is usually ignored by most current congestion control methods which focus more on avoiding or recovering from congestion rather than on the congestion process itself. To improve the performance during congestion, we propose a multi-queue-LIFO (Last-In, First-Out) approach. Instead of the intuitively and frequently employed FIFO (First-In, First-Out), we are the first to use LIFO to improve delay and fairness in congested WSNs. To further enhance the fairness performance, we divide the single queue in each node into multiple weighted sub-queues logically, and forward packets in each sub-queue based on its weight. This method balances the data reception from other nodes at the BS. Both theoretical analysis and extensive experiments verify the performance improvement of our approach.

show abstract

An overhead and resource contention aware analytical model for overloaded Web servers

Cited by 4 publications

References 24 publications

An integrated model for next page access prediction

An integrated model for next page access prediction

A distributed server architecture supporting dynamic resource provisioning for BPM-oriented workflow management systems

Congestion performance improvement in wireless sensor networks

Contact Info

Product

Resources

About