Web Distributed Authoring and Versioning (WebDAV) Access Control Protocol

Clemm, Geoffrey; Reschke, Julian F.; Sedlar, Eric; Whitehead, Jim

doi:10.17487/rfc3744

Cited by 26 publications

(43 citation statements)

References 9 publications

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“…If the result set is truncated, the response MUST use status code 207 (Multi-Status), return a DAV:multistatus response body, and indicate a status of 507 (Insufficient Storage) for the request-URI. That DAV:response element SHOULD include a DAV:error element with the DAV:number-of-matches-within-limits precondition, as defined in [RFC3744] (Section 9.2). DAV:response elements for all the changes being reported are also included.…”

Section: Truncation Of Resultsmentioning

confidence: 99%

Collection Synchronization for Web Distributed Authoring and Versioning (WebDAV)

Daboo¹,

Quillaud²

2012

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Section: Truncation Of Resultsmentioning

confidence: 99%

Collection Synchronization for Web Distributed Authoring and Versioning (WebDAV)

Daboo¹,

Quillaud²

2012

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“…CardDAV servers MUST support and adhere to the requirements of WebDAV ACL [RFC3744]. WebDAV ACL provides a framework for an extensible set of privileges that can be applied to WebDAV collections and ordinary resources.…”

Section: Address Book Access Controlmentioning

confidence: 99%

“…This section defines additional properties for WebDAV principal resources as defined in [RFC3744]. Description: The CARDDAV:addressbook-home-set property is meant to allow users to easily find the address book collections owned by the principal.…”

Section: Additional Principal Propertiesmentioning

confidence: 99%

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CardDAV: vCard Extensions to Web Distributed Authoring and Versioning (WebDAV)

Daboo¹

2011

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An e‐Science data infrastructure for simulations within Grid computing environment: methods, approaches and practice

Yang

Dove

Bruin

et al. 2012

Concurrency and Computation

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SUMMARY Grid‐based simulation usually involves large quantities of data at each stage of the simulation process. These data include simulation input and output files, intermediate results files, log and error files, associated metadata, and information capturing the processes that generate the data. The question of how to effectively store and manage data files within a Grid computing environment is increasingly becoming an important issue. This paper illustrates how we built a lightweight e‐Science infrastructure for data management within a Grid computing environment, including the integration of data curation activities into the entire Grid‐based simulation process. Rather than focusing on specific implementation details, we aim to identify the key issues and research challenges, describing how various existing technologies and tools can be best integrated to address these requirements and challenges. Although the case of quantum mechanical simulation of materials properties is used in the paper, much of the discussion is as generic as possible so that approaches, methods and practice (e.g. integrated approach, workflow taxonomy and development approach, simple but useful semantic annotation approach) can be applied to wider domains and disciplines to facilitat the digital research. A comparison between our approach and Cloud computing, and lessons learned in data management within the Grid computing environment, are also presented. Copyright © 2012 John Wiley & Sons, Ltd.

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Web Distributed Authoring and Versioning (WebDAV) Access Control Protocol

Cited by 26 publications

References 9 publications

Collection Synchronization for Web Distributed Authoring and Versioning (WebDAV)

Collection Synchronization for Web Distributed Authoring and Versioning (WebDAV)

CardDAV: vCard Extensions to Web Distributed Authoring and Versioning (WebDAV)

An e‐Science data infrastructure for simulations within Grid computing environment: methods, approaches and practice

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