An adaptive mechanism for Web browser cache management

Reddy, M. Chandra Mouli; Fletcher, Graham P.

doi:10.1109/4236.656085

Cited by 17 publications

(3 citation statements)

References 10 publications

(6 reference statements)

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“…Designs and implementations of browsers have been studied in many papers (e.g. [19,26]). The work in [31] attempts to transfer server's functions to clients.…”

Section: Related Workmentioning

confidence: 99%

On scalable and locality-aware web document sharing

Xiao

Chen

Zhang

2003

Journal of Parallel and Distributed Computing

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We propose a scalable Web document sharing infrastructure model called Browsers-Aware Proxy Server. In this design, a proxy server connecting to a group of networked clients maintains an index file of data objects of all clients' browser caches. If a user request misses in its local browser cache and the proxy cache, the browsers-aware proxy server will search the index file attempting to find it in another client's browser cache before sending the request to an upper level proxy or the Web server. If such a request does hit in a remote client, this client will directly forward the data object to the requesting client; or the proxy server fetches the data object from this client and then forwards it to the requesting client. The contributions of this caching model are twofold. First, we show that the amount of sharable data in browser caches is significant and can be utilized for document sharing among clients to improve Web caching performance and scalability. Second, the browsers-aware model can effectively and further improve Web prefetching performance. The browsers-aware model and its supported prefetching technique build a strong locality-aware Internet environment to make Web accesses fast with low communication costs. Conducting trace-driven simulations, we show the effectiveness of the browsers-aware model, and its unique advantages to facilitate prefetching. r

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“…Designs and implementations of browsers have been studied in many papers (e.g. [19,26]). The work in [31] attempts to transfer server's functions to clients.…”

Section: Related Workmentioning

confidence: 99%

On scalable and locality-aware web document sharing

Xiao

Chen

Zhang

2003

Journal of Parallel and Distributed Computing

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“…Caching operation can execute in a client application, and generally, it is embedded in most Web browsers [1,2,3,4,5,6]. A number of products extend or replace the embedded caches with systems that contain larger storage, more features, or better performance.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Web Caching Using Machine Learning Methods

Sulaiman¹,

Shamsuddin²,

Abraham

et al. 2011

NNW

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Nowadays, remote sensing technology is being used as an essential tool for monitoring and detecting oil spills to take precautions and to prevent the damages to the marine environment. As an important branch of remote sensing, satellite based synthetic aperture radar imagery (SAR) is the most effective way to accomplish these tasks. Since a marine surface with oil spill seems as a dark object because of much lower backscattered energy, the main problem is to recognize and differentiate the dark objects of oil spills from others to be formed by oceanographic and atmospheric conditions. In this study, Radarsat-1 images covering Lebanese coasts were employed for oil spill detection. For this purpose, a powerful classifier, Artificial Neural Network Multilayer Perceptron (ANN MLP) was used. As the original contribution of the paper, the network was trained by a novel heuristic optimization algorithm known as Artificial Bee Colony (ABC) method besides the conventional Backpropagation (BP) and Levenberg-Marquardt (LM) learning algorithms. A comparison and evaluation of different network training algorithms regarding reliability of detection and robustness show that for this problem best result is achieved with the Artificial Bee Colony algorithm (ABC).

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“…The space object i O has spatial characteristics, therefore the object can be established a spatial index structure according to the spatial characteristics of objects in the cache[2] (such as the bounding box).There are two elements for the cache structure which takes into account the spatial characteristics (fig. 2):A C for the management of spatial objects of time or hit rate, B C for the management of spatial characteristics of spatial objects.…”

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confidence: 99%

Dispatch strategy on massive 3D spatial data in geological space

Sun

Liu

et al. 2010

2010 18th International Conference on Geoinformatics

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Three-dimensional visualization has become the development trend of geological information technology, which will inevitably lead to the sharp increase of geological spatial data. However, the inherent characteristics of underground geological data, such as invisible, non-parametric, unstructured and non-homogeneous, lead to great difference between underground geological data and ground surface data in the aspects of data representation, data storage and data application. Therefore the existing dispatch technology based on regular ground surface data structure, such as DOM or DEM, is not sufficient to ensure the efficient dispatch of underground geological spatial data. New underground geological data dispatch strategy is investigated in this paper, geological data can be loaded according to the following steps:(1) Spatial index is built and stored in the database after the geological data is inserted into spatial database, and trigger mechanism is introduced to maintenance the consistency of spatial index during the operation of data add, delete and update; (2) Connection pool technology is used to create several connections to spatial database when the client program is started, which makes preparation for multi-thread concurrent dispatch later, meanwhile spatial index is loaded into client memory ; (3) In the process of data dispatch, client first retrieves spatial index according to user's query to get the index items of spatial objects, then client traverses the object cache to filter out objects which are not loaded into memory, finally multi-threading technology is started up for parallel dispatching spatial objects from spatial database;(4)Appropriate cache replacement algorithm is adopted to solve the lack of memory when the spatial objects are added into client memory; (5) In the interval of dispatch ,such as the client is drawing or editing, pre-dispatch technology is used to assist data dispatch. At last, the dispatch strategy on massive 3D spatial data in geological space is created, which can provide 20-40% better performance than those methods existed already. This Strategy has been successfully applied in the project called "research on 3D spatial data management and analysis components" in national 863 program of China.

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An adaptive mechanism for Web browser cache management

Cited by 17 publications

References 10 publications

On scalable and locality-aware web document sharing

On scalable and locality-aware web document sharing

Intelligent Web Caching Using Machine Learning Methods

Dispatch strategy on massive 3D spatial data in geological space

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