外文翻譯----文件系統虛擬化和服務網格數據管理-資料下載頁
2025-05-12 11:30本頁面
【導讀】例如科學網格，指幾個機構。之間資源利用協調解決問題，企業(yè)信息系統，從多個站點聚合協同努力發(fā)展。常見的是，應用程序和數據都分布在資源跨行政區(qū)劃和廣域網。這樣的環(huán)境可稱為“格式”環(huán)。啟動和終止，以及他們的工作量也隨著時間的推移會有所不同。接網絡，提供的計算能力和存儲能力，支持處決許多應用程序。首先，應用程序和數據資源的多樣性促使供應解決方案，可以透明地部署，特別是，該系統已作出以下貢獻：。它支持網格式環(huán)境設計的應用程序定制的增強幾個重要方面，遠程數據訪問，在網格式環(huán)境中的DFS為基礎的辦法，它也被成功在生產電網系統部署了數年，由于眾所周知的DFS的界面是由GVFS中保。會議定制的數據也意味著按照所需的行為和周圍的環(huán)境各。然而，用戶或管理員的目標是相當簡單，明確的。
【正文】 istency, security, and reliability. ServiceBased Autonomic Data Management The third question is, how to manage data provisioning in a gridscale system with dynamically changing environments? Based on the GVFS approach, data sessions can be started on demand and independently customized for applications. However, in a largescale system, the management of many dynamic data sessions is another challenging task due to its plexity. Data sessions need to be dynamically established and destroyed based on the lifecycles of applications and the locations of their instantiations and data storage. Customization of data sessions also implies the consideration of various relevant factors and tuning of many parameters, in accordance with the desired behaviors and the surrounding environments. Dynamically changing application workload and resource availability further require continuous monitoring of data sessions and timely adaptation of their configurations. These requirements are often beyond the capability of endusers and even system administrators. Yet the goals of users or administrators are rather simple and explicit. For example, from an application user39。s point of view, it is desired that the job execution is fast, secure, and reliable。 from a resource provider39。s point of view, it is expected that the resource use is healthy and profitable. Therefore, this dissertation presents a novel servicebased autonomic data management approach to automatically manage and optimize the data provisioning according to such highlevel objectives. This dissertation proposes a set of data management services to manage the perapplication GVFS sessions, enforce the isolation among the independent sessions, and apply the desired customization for each session. They support ?exible control over the lifecycles and configurations of data sessions, and can explore the knowledge of applications (., data access patterns, data sharing scenarios, and service quality requirements) to customize their data sessions on the use of performance, consistency, security, and reliability enhancements. These services also provide interoperable interfaces which allow for direct interactions with other grid middleware services and automated executions of data provisioning tasks. To further reduce human intervention in managing data sessions and enable them to promptly adapt to the changing environments, autonomic functions are built into the data management services to make them capable of automatically monitoring, analyzing, and optimizing the distributed entities of gridwide data sessions, and cooperatively working together to achieve the desired data provisioning and resource usage goals. Such autonomic management is applied to several important aspects of data sessions including cache configuration, data replication, and session redirection. In summary, the GVFSbased data management system addresses the last question by employing autonomic services to provide automatic management and optimization of data sessions according to the application needs and changing environments.
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