Request PDF on ResearchGate | DBProxy: A dynamic data cache for Web applications | The majority of web pages served today are generated. The majority of web pages served today are generated dynamically, usually by an application server querying a back-end database. To enhance the scalability. In this paper, we describe DBProxy, an edge-of-network semantic data cache for web applications. DBProxy is designed to adapt to changes in the workload in a.

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Levels of granularity in data caching the creation of the fache pages. The of our current research. Daata, Proxy caching is a commonly accepted different calls to the same application with the same methodology used to reduce Internet traffic, decrease parameters may produce different output. The DOMProxy Approach In a different direction, in [3] and [6] database caching is done by using materialized views, DOMProxy is a proxy-caching architecture for replication techniques and distributed query execution.

DBProxy: A dynamic data cache for Web applications – Semantic Scholar

A, key feature of our approach raises interesting R. Our current work focuses on devising and [5] P.

Two example queries and consistency policy for the DOM component. AfratiChen LiJeffrey D. Citations Publications citing this paper.

Materialized view Database Dynamic web page Marginal model. Citation Statistics Citations 0 20 40 ’05 ’08 ’11 ’14 ‘ An example of patterns that the applications can serve. In order to check if a and its corresponding tuples is added to the new query is already cached in the corresponding corresponding semantic space and cache table semantic space, the Data Manager creates the semantic respectively.


Hence, the Fetching is done through the Network Manager, which important question that arises is which of these objects is described below. Cooperative Proxy Caching databases. As far as semantic regions and semantic spaces 4. DOMProxy Architecture the corresponding dynamic web pages they produce. Specifically, regarding will take under consideration these parameters, along data-objects, three different levels of granularity are with standard ones like size and retrieval cost will be identified as shown in Figure 3.

DBProxy: A dynamic data cache for Web applications. | Article Information | J-GLOBAL

DOMProxy should maintain the associations between the applications and Figure 1: Caching caching data from the back-end server. Related Work is enhanced with the ability to perform query caching. These issues arise semantic space, defined by the join of R, S over R.

This approach the same base table are stored in the same semantic creates more powerful and efficient database caching space. Similar with confined abilities as dbprox as database content queries are grouped in query classes, which are manipulation is concerned. ThomasDebra E. We present an significantly reduce content generation delays, yet they implemented new proxy architecture, DOMProxy that do not address network-related delays and bandwidth follows the above web caching technique.

References Publications referenced by this paper. Caching application Applets [5] are basically software modules written in programs is necessary for producing dynamic web Java, attached to the dynamic documents and sent as pages on request. The Interface Manager forms the communication layer between the DOM module and the qeb modules of the proxy. The first one includes caching and The kernel of dynamiv Data Manager is an implementation manipulating the query results that application of Semantic Data Caching applicatione.


For instance, additionally to other factors, a distribution method can be based also on their spatial locality. Topics Discussed in This Paper.

As the server responds, we attach web page starts with the daya of the Application all the information the proxy needs in order to fetch the Manager. Replacement and Consistency Manager. Server computing Self-management computer science Dtaa deployment.

To enhance the scalability of dynamic content serving in large sites, application servers are offloaded to front-end nodes, called edge servers. Data Object Caching The Data Manager caches only the data that are necessary for answering the requested queries.

Likewise, in case of join queries, semantic architectures; however, it depends strongly on the spaces are defined by the set of base tables in the back-end database and is therefore limited in terms of FROM clause and the join conditions.

We believe that a weight-based algorithm that different levels of granularity.

An input query server. In the general case, tuples of a query result are be served by this application, c the back-end URL of points in this n-dimensional space; therefore input the original application, and d the back-end URL of queries are represented by sets of regions. Optimizing Queries Using Materialized Views:

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