A Performance Study of Clustering Web Application Servers with Distributed JVM

Lam, King Tin; Luo, Yuanqiu; Wang, Cho-Li

doi:10.1109/icpads.2008.100

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…The Web and Application Server chosen to run the web service at front-end is Apache Tomcat that is the most popular open-source Java Web application server [20]. Tomcat, typifying object-based servers, has some unique runtime properties including intensive threading, high read/write ratios, extensive object sharing via collections framework and fine-grained irregular object access patterns [8].…”

Section: Back-endmentioning

confidence: 99%

A Scalable and Distributed Cloud Brokering Service

Amato¹,

Venticinque²

2015

SCPE

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Cloud computing can be considered the key of the development of ICT systems business. It allows to work with the basic tools, but in a dynamic, mobile and technologically advanced way. Taking a good choice of Cloud provider, is the key to safely embracing the Cloud and the benefits that it provides. To do that is necessary to identify the Cloud service needs based on the application requirements. Some applications will be more critical than others. Moreover it is necessary to select the provider which best fits those requirements. In fact, as happens to a more traditional delivery model in which organizations use different product packages from different providers because no single supplier can meet all of their needs, there are different Cloud providers that offer different features and perks, and many of them are not directly comparable. In this paper a scalable distributed multi-users version of a Broker As A Service solution is proposed, mainly suitable for exploiting the capability of a distributed environment and for addressing the related issues. The idea is to decompose global broker into a set of distributed brokers that cooperate and dynamically scale, together with the computing infrastructure, to support unforeseeable workloads produced by the interactions with large groups of users. The brokering problem is divided into simpler tasks, which are distributed among independent agents, whose population dynamically scales together with the computing infrastructure, to support unforeseeable workloads produced by the interactions with large groups of users. This solution is also suitable in case of Multi-Cloud brokering. Several experimental results have been performed to verify the effectiveness of the proposed system.

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Section: Back-endmentioning

confidence: 99%