外文翻譯----文件系統(tǒng)虛擬化和服務(wù)網(wǎng)格數(shù)據(jù)管理-文庫(kù)吧
2025-04-17 11:30 本頁(yè)面
【正文】 定制。它們支持靈活的控制在生命周期和數(shù)據(jù)會(huì)話的配置，并可以探索知識(shí)應(yīng)用程序（如數(shù)據(jù)訪問(wèn)模式，數(shù)據(jù)共享方案，和服務(wù)質(zhì)量要求）來(lái)定制的性能，使用他們的數(shù)據(jù)會(huì)話的一致性，安全性和可靠性增強(qiáng)。這些服務(wù)還提供可互操作的接口允許與其他網(wǎng)格中間件服務(wù)和自動(dòng)化的直接相互作用數(shù)據(jù)處決供應(yīng)任務(wù)。為了進(jìn)一步降低管理數(shù)據(jù)會(huì)話的人為干預(yù)，使他們迅速適應(yīng)不斷變化的環(huán)境，植物神經(jīng)功能內(nèi)置于數(shù)據(jù)管理服務(wù)，使他們自動(dòng)監(jiān)測(cè)，分析能力 ， 優(yōu)化電網(wǎng)范圍內(nèi)的數(shù)據(jù)會(huì)分散的實(shí)體，合作共同努力實(shí)現(xiàn)所需的數(shù)據(jù)配置和資源使 用的目標(biāo)。這種自主管理是適用于幾個(gè)重要的方面，包括數(shù)據(jù)會(huì)話緩存配置，數(shù)據(jù)復(fù)制和會(huì)話重定向。 總之， GVFS中的數(shù)據(jù)管理系統(tǒng)解決最后一個(gè)問(wèn)題由用人自主服務(wù)，提供自動(dòng)化管理 的數(shù)據(jù)和優(yōu)化會(huì)議根據(jù)應(yīng)用需求和不斷變化的環(huán)境。 FILE SYSTEM VIRTUALIZATION AND SERVICE FOR GRID DATA MANAGEMENT 1. INTRODUCTION Computations are being increasingly larger scale, in terms of both size and geographical and administration distribution. Examples include scientific grids [1] which harness resources among several institutions for coordinated problem solving, and enterprise information systems that aggregate eforts from multiple sites for collaborative development. Common in these systems is that applications and data are distributed on resources across administrative boundaries and widearea works. Such environments can be referred as the gridstyle environments, which have the following distinctive characteristics: Heterogeneity: There exist a wide variety of applications and resources in a gridstyle environment. The resources typically have diferent hardware configurations (., CPU speed and architecture, memory size, disk bandwidth and capacity) and software setups (., operating systems and libraries)。 the applications also have diverse characteristics (., data access pattern) and needs (., desired data access performance, security, and reliability). Dynamism: Systems deployed in a gridstyle environment are highly dynamic. Failures on machines and works can happen at any time, and nondedicated resources may dynamically join and leave the system. On the other hand, applications are started and terminated on demand, and their workloads also vary over time. Scale: Large amounts of resources can be aggregated in a gridstyle environment. They are distributed across diferent institutions and connected on widearea works, providing the puting power and storage capacity to support executions of many applications. This dissertation focuses on two specific aspects of data management in distributed systems: data provisioning — providing applications running on the puting resources with remote access to their data stored on the storage resources, and the management of the data provisioning — the establishment, configuration, and termination of the remote data access. Computing in a gridstyle environment poses unique challenges to these tasks because of the above mentioned heterogeneous, dynamic, and largescale nature of applications and resources. First, the diversity of applications and resources motivates a data provisioning solution that can be transparently deployed, without modifying the existing operating systems (O/Ss) and changing the application source code or binaries. Second, the widearea, crossdomain environments necessitate applicationtailored optimizations for data access to address the inefciency (long work delay, limited work bandwidth), insecurity (insecure resources, limited mutualtrust between diferent domains), and unsa
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