The differences between distributed shared memory caching and proxy caching

Cano, Juan-Carlos; Pont, Ana; Sahuquillo, Julio; Gil, José A.

doi:10.1109/4434.865892

Cited by 4 publications

(6 citation statements)

References 9 publications

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“…A DSM system needs to support many different complicated reference and memory sharing models used by all kinds of applications running on top of it. Newer DSM systems increasingly adopt the multiple reader/multiple writer approach where participating computation nodes in a cluster are on equal ground and can issue changes to data concurrently [42]. However, changes to Web objects usually come from a single master site, and so the consistency is less of an issue.…”

Section: Software Distributed Shared Memorymentioning

confidence: 98%

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

Chen

Wang

Lau

2003

Concurrency and Computation

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SUMMARYClustering provides a viable approach to building scalable Web systems with increased computing power and abundant storage space for data and contents. In this paper, we present a pure-Java-based parallel Web server system, p-Jigsaw, which operates on a cluster and uses the technique of cooperative caching to achieve high performance. We introduce the design of an in-memory cache layer, called Global Object Space (GOS), for dynamic caching of frequently requested Web objects. The GOS provides a unified view of cluster-wide memory resources for achieving location-transparent Web object accesses. The GOS relies on cooperative caching to minimize disk accesses. A requested Web object can be fetched from a server node's local cache or a peer node's local cache, with the disk serving only as the last resort. A prototype system based on the W3C Jigsaw server has been implemented on a 16-node PC cluster. Three cluster-aware cache replacement algorithms were tested and evaluated. The benchmark results show good speedups with a real-life access log, proving that cooperative caching can have significant positive impacts on the performance of cluster-based parallel Web servers.

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Section: Software Distributed Shared Memorymentioning

confidence: 98%

“…To a certain extent, cooperative Web object caching share some similar goals with caching in software DSM. There are, however, some significant differences between DSM caching and Web object caching [42].…”

Section: Software Distributed Shared Memorymentioning

confidence: 98%

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

Chen

Wang

Lau

2003

Concurrency and Computation

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“…A proxy is commonly utilized in the client-server architecture, which usually acts as a cache within the resulting environment. With the assistance of such architecture, the overall efficiency will be greatly improved since the bottleneck of service loading will be properly balanced with this approach (Cano, 2000;Ramaswamy, 2004;Xiao, 2004;Xu, 2004). It is indeed a potential solution to resolve the inconsistent problems and improve the space efficiency from materialized view maintenance in a data warehouse system by utilizing the proxy-based architecture.…”

Section: Research Purpose and Organizationmentioning

confidence: 99%

“…The concept and implementation of proxy and cache had been widely adopted as important components of information system architecture in order for efficiency purposes (Cano, 2000;Xiao, 2004;Xu, 2004). Different from the local cache approach, a proxy-based approach can be considered an independent tier of the client server model, which is physically either an independent computer application locally or even a network proxy service remotely.…”

Section: Warehouse For Efficiency Purposesmentioning

confidence: 99%

“…In database-based solutions, the terms proxy and network cache are often considered synonyms, which means additional temporary storage for data recently used or expected to be used in the future according to the locality nature of data utilization for an individual process (Cano, 2000). The only difference is that materialized database view cache, which provided by enterprise database management systems with advanced functionalities can be used to provide a snapshot version of each materialized view with a tight-coupling approach.…”

Section: Warehouse For Efficiency Purposesmentioning

confidence: 99%

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A Space-Efficient Protocol for Consistency of External View Maintenance on Data Warehouse Systems

Huang

Yen

Hsueh

2007

Journal of Database Management

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The materialized view approach is widely adopted in implementations of data warehouse systems in or-der for efficiency purposes. In terms of the construction of a materialized data warehouse system, some managerial problems still exist to most developers and users in the view resource maintenance area in particular. Resource redundancy and data inconsistency among materialized views in a data warehouse system is a problem that many developers and users struggle with. In this article, a space-efficient protocol for materialized view maintenance with a global data view on data warehouses with embedded proxies is proposed. In the protocol set, multilevel proxy-based protocols with a data compensating mechanism are provided to certify the consistency and uniqueness of materialized data among data resources and materialized views. The authors also provide a set of evaluation experiences and derivations to verify the feasibility of proposed protocols and mechanisms. With such protocols as proxy services, the performance and space utilization of the materialized view approach will be improved. Furthermore, the consistency issue among materialized data warehouses and heterogeneous data sources can be properly accomplished by applying a dynamic compensating and synchronization mechanism. The trade-off between efficiency, storage consumption, and data validity for view maintenance tasks can be properly balanced.

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Coherence Protocols for Bus-Based and Scalable Multiprocessors, Internet, and Wireless Distributed Computing Environments: A Survey

Sustersic

Hurson

2003

Advances in Computers

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The differences between distributed shared memory caching and proxy caching

Cited by 4 publications

References 9 publications

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

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

A Space-Efficient Protocol for Consistency of External View Maintenance on Data Warehouse Systems

Coherence Protocols for Bus-Based and Scalable Multiprocessors, Internet, and Wireless Distributed Computing Environments: A Survey

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