Middle-tier database caching for e-business

Luo, Qiong; Krishnamurthy, Sailesh; Mohan, C.; Pirahesh, Hamid; Woo, Honguk; Lindsay, Bruce G.; Naughton, Jeffrey F.

doi:10.1145/564691.564763

Cited by 129 publications

(91 citation statements)

References 12 publications

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“…This degrades the required performance. There are two types of caching: Table level and Query level [14]. [15].…”

Section: Performance Issues In Using Imdgmentioning

confidence: 99%

Improving Performance of Cloud based Transactional Applications using In-Memory Data Grid

Arora¹,

Gupta²

2014

IJCA

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Browser based applications are used currently to handle data related requirements of educational institutes. Such applications are not scalable due to limited scalability of database servers. The performance of such applications can be improved with the use of Cloud Computing and In-memory Data Grid (IMDG). IMDG uses the concept of caching to keep frequently used data in memory which is required by an application. This ensures high availability of data to the application. Due to cached data, the performance of the application also increases. This paper proposes the usage of IMDG for deploying transactional applications of educational institutes in the Cloud. This paper also points out performance issues in using IMDG. Then the paper proposes an approach to solve the identified performance issues of transactional applications required by educational institutes in Cloud environment. An analysis of proposed approach with traditional approach highlights better access time, availability and scalability.

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“…This degrades the required performance. There are two types of caching: Table level and Query level [14]. [15].…”

Section: Performance Issues In Using Imdgmentioning

confidence: 99%

Improving Performance of Cloud based Transactional Applications using In-Memory Data Grid

Arora¹,

Gupta²

2014

IJCA

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“…-The workload characteristics or distributions of request types, which determine what data is most beneficial to cache [32]. For example, keeping the product information in the cache that is most frequently requested will be most beneficial.…”

Section: Middle-tier Caching In the Pet Storementioning

confidence: 99%

Constraint-Based Model Weaving

White

Gray

Schmidt

2009

Lecture Notes in Computer Science

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Abstract. Aspect-Oriented Modeling (AOM) is a promising technique for untangling the concerns of complex enterprise software systems. AOM decomposes the cross-cutting concerns of a model into separate models that can be woven together to form a composite solution model. In many domains, such as multi-tiered e-commerce web applications, separating concerns is much easier than deducing the proper way to weave the concerns back together into a solution model. For example, modeling the types and sizes of caches that can be leveraged by a web application is much easier than deducing the optimal way to weave the caches back into the solution architecture to achieve high system throughput.This paper presents a technique called constraint-based weaving that maps model weaving to a constraint satisfaction problem (CSP) and uses a constraintsolver to deduce the appropriate weaving strategy. By mapping model weaving to a CSP and leveraging a constraint solver, our technique (1) generates solutions that are correct with respect to the weaving constraints, (2) can incorporate complex global weaving constraints, (3) can provide weaving solutions that are optimal with respect to a weaving cost function, and (4) can eliminate manual effort that would normally be required to specify pointcuts and maintain them as target models change. The paper also presents the results of a case study that applies our CSP weaving technique to a representative enterprise Java application. Our evaluation of this case study showed a reduction in manual effort that our technique provides.

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“…The median length (in words) of the queries was 3 and the average length was 3.3. The 1-word queries, 2-word queries, …, and 5-word queries made up 13,25,24,15, and 11% of the trace, respectively (Table 8).…”

Section: Proxy Caching For Real Web Sitesmentioning

confidence: 99%

“…Recently, there is an increasing commercial interest in caching for database web servers, for example, the Oracle 9i Application Server [32] and the IBM DBcache project [25]. The Oracle 9i Application Server includes the Oracle Database Cache and the Oracle Web Cache.…”

Section: Related Workmentioning

confidence: 99%

Form-based proxy caching for database-backed web sites: keywords and functions

2006

Self Cite

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Web caching proxy servers are essential for improving web performance and scalability, and recent research has focused on making proxy caching work for database-backed web sites. In this paper, we explore a new proxy caching framework that exploits the query semantics of HTML forms. We identify two common classes of form-based queries from real-world database-backed web sites, namely, keyword-based queries and function-embedded queries. Using typical examples of these queries, we study two representative caching schemes within our framework: (i) traditional passive query caching, and (ii) active query caching, in which the proxy cache can service a request by evaluating a query over the contents of the cache. Results from our experimental implementation show that our form-based proxy is a general and flexible approach that efficiently enables active caching schemes for database-backed web sites. Furthermore, handling query containment at the proxy yields significant performance advantages over passive query caching, but extending the power of the active cache to do full semantic caching appears to be less generally effective.

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Middle-tier database caching for e-business

Cited by 129 publications

References 12 publications

Improving Performance of Cloud based Transactional Applications using In-Memory Data Grid

Improving Performance of Cloud based Transactional Applications using In-Memory Data Grid

Constraint-Based Model Weaving

Form-based proxy caching for database-backed web sites: keywords and functions

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