p‐Jigsaw: a cluster‐based Web server with cooperative caching support

Chen, Ge; Wang, Cho‐Li; Lau, Francis C. M.

doi:10.1002/cpe.723

Cited by 6 publications

(3 citation statements)

References 33 publications

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“…Sharing of cache memories of cluster nodes to achieve higher performance has also been explored earlier through cooperative caching (Chen et al, 2003;Cuenca-Acuna et al, 2001;Holmedahl et al, 1998). These techniques involve providing either an in-memory cache layer or a middleware layer forming a global shared pool of the caches of the servers.…”

Section: Related Workmentioning

confidence: 99%

“…In this paper we present a set of cache management schemes to improve the overall performance of a web cluster by sharing cached contents with the help of the front-end web switch. Our methods differ from earlier shared caching approaches (Chen et al, 2003;Cuenca-Acuna et al, 2001;Holmedahl et al, 1998). Our schemes utilize the server caches efficiently, reducing redundant database accesses by web servers while also ensuring consistency of cache contents.…”

Section: Introductionmentioning

confidence: 98%

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Performance-Enhanced Caching Scheme for Web Clusters for Dynamic Content

Raghunathan

Murugesan

2011

International Journal of Business Data Communications and Networking

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In order to improve the QoS of applications, clusters of web servers are increasingly used in web services. Caching helps improve performance in web servers, but is largely exploited only for static web content. With more web applications using backend databases today, caching of dynamic content has a crucial role in web performance. This paper presents a set of cache management schemes for handling dynamic data in web clusters by sharing cached contents. These schemes use either automatic or expiry-based cache validation, and work with any type of request distribution. The techniques improve response by utilizing the caches efficiently and reducing redundant database accesses by web servers while ensuring cache consistency. The authors present caching schemes for both horizontal and vertical cluster architectures. Simulations show an appreciable performance rise in response times of queries in clustered web servers.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Performance-Enhanced Caching Scheme for Web Clusters for Dynamic Content

Raghunathan

Murugesan

2011

International Journal of Business Data Communications and Networking

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“…And they may show high reliability in extreme situations. Previous studies such as [2,3,5,9,17,18] show the characteristics of cluster systems extensively. The capabilities required for a cluster system to be a server can be summarized as follows:…”

mentioning

confidence: 99%

Efficient Cluster Server Construction and Management for Service Orientation

Chae¹,

Song²,

Kim³

et al. 2007

The KIPS Transactions:PartA

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Modern server systems are usually composed in the form of cluster systems in order to serve not only as many users but also as many kinds of applications as possible. The progression of the cluster system architecture leads in a middleware approach based on the Java framework. The middleware approach alleviates the efforts for the construction and the management of a server system but still preserves its performance and applications on the server. In this research, we introduce a new clustering scheme for the easy construction and maintenance of a cluster server system with the Java Management Extensions. We first demonstrate the construction and configuration process. Our experiment sets can verify that it is easy to construct, expand and manage a middleware based cluster system as well as the applications which reside on it. In addition, we can achieve reasonable performance on our service oriented clustered system with the help of state-of-the-art middleware. The experimental results of performance demonstration contain the availability of a server, and the effectiveness of load balancing and scheduling mechanisms. Especially, our service oriented scheduling mechanism was shown to successfully manage load imbalance under the normal load and cope with the overloaded situations, compared with other known scheduling mechanisms.

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Elastic management of web server clusters on distributed virtual infrastructures

Moreno-Vozmediano

Montero

Llorente

2011

Concurrency and Computation

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SUMMARYCluster-based solutions are being widely adopted for implementing flexible, scalable, low-cost and highperformance web server platforms. One of the main difficulties to implement these platforms is the correct dimensioning of the cluster size, so as to satisfy variable and peak demand periods. In this context, virtualization is being adopted by many organizations as a solution not only to provide service elasticity, but also to consolidate server workloads, and improve server utilization rates. A virtualized web server can be dynamically adapted to the client demands by deploying new virtual nodes when the demand increases, and powering off and consolidating virtual nodes during periods of low demand. Furthermore, the resources from the in-house infrastructure can be complemented with a cloud provider (cloud bursting), so that peak demand periods can be satisfied by deploying cluster nodes in the external cloud, on an on-demand basis. In this paper, we analyze the scalability of hybrid virtual infrastructures for two different distributed web server cluster implementations: a simple web cluster serving static files and a multi-tier web server platform running the CloudStone benchmark.

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p‐Jigsaw: a cluster‐based Web server with cooperative caching support

Cited by 6 publications

References 33 publications

Performance-Enhanced Caching Scheme for Web Clusters for Dynamic Content

Performance-Enhanced Caching Scheme for Web Clusters for Dynamic Content

Efficient Cluster Server Construction and Management for Service Orientation

Elastic management of web server clusters on distributed virtual infrastructures

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