書(shū)目名稱(chēng)Grid and Cloud Database Management影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Grid and Cloud Database Management網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Grid and Cloud Database Management網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Grid and Cloud Database Management被引頻次
書(shū)目名稱(chēng)Grid and Cloud Database Management被引頻次學(xué)科排名
書(shū)目名稱(chēng)Grid and Cloud Database Management年度引用
書(shū)目名稱(chēng)Grid and Cloud Database Management年度引用學(xué)科排名
書(shū)目名稱(chēng)Grid and Cloud Database Management讀者反饋
書(shū)目名稱(chēng)Grid and Cloud Database Management讀者反饋學(xué)科排名
作者: 咽下 時(shí)間: 2025-3-21 23:01 作者: 洞穴 時(shí)間: 2025-3-22 03:54
Open Standards for Service-Based Database Access and Integrationps with other OGF and non-OGF standards. Current implementations of the specifications are described in addition to some existing and potential applications to highlight how this work can benefit web service-based architectures used in Grid and Cloud computing.The Database Access and Integration Ser作者: 改革運(yùn)動(dòng) 時(shí)間: 2025-3-22 06:19
Virtualization and Column-Oriented Database Systemsey make good use of parallelism and have better support for clustering (parallel execution on multiple clustered VMs is faster than on a single VM with equal resources) due to data model, read-mostly data optimizations and hypervisor-level optimizations; and (4) analysis of the architectural and sys作者: 首創(chuàng)精神 時(shí)間: 2025-3-22 10:09 作者: 噴油井 時(shí)間: 2025-3-22 15:58
The DASCOSA-DB Grid Database Systemupport typical data-intensive applications running on a grid system: fault-tolerant query processing, dynamic refragmentation, allocation and replication of data fragments, and distributed semantic caching.作者: 噴油井 時(shí)間: 2025-3-22 19:38 作者: 搏斗 時(shí)間: 2025-3-22 21:42 作者: blight 時(shí)間: 2025-3-23 02:16 作者: ENDOW 時(shí)間: 2025-3-23 09:17 作者: 胡言亂語(yǔ) 時(shí)間: 2025-3-23 10:04 作者: eucalyptus 時(shí)間: 2025-3-23 14:33
Distributed Data Management with OGSA–DAIes to be viewed and queried as if they were a single resource. OGSA–DAI allows researchers and business users to move away from logistical and technical concerns such as data locations, data models, data transfers and optimization strategies for data integration and instead focus on application-specific data analysis and processing.作者: Instrumental 時(shí)間: 2025-3-23 20:44 作者: aristocracy 時(shí)間: 2025-3-23 23:15 作者: BIDE 時(shí)間: 2025-3-24 06:00 作者: 低能兒 時(shí)間: 2025-3-24 09:42
Grid Technologies for Satellite Data Processing and Management Within International Disaster Monitord management in Grid environment, and provides an example of workflow automation for generating flood maps from images acquired by the Advanced Synthetic Aperture Radar (ASAR) instrument aboard the Envisat satellite.作者: 裝入膠囊 時(shí)間: 2025-3-24 12:24
https://doi.org/10.1007/978-3-540-35113-9an MPI compute cluster for data processing and rendering on a tiled-display video wall. This approach results in a scalable and inexpensive architecture for interactive analysis and high-resolution mapping of environmental and remote sensing data which we use for comparative study of the climate and vegetation change.作者: faultfinder 時(shí)間: 2025-3-24 17:10 作者: 陰險(xiǎn) 時(shí)間: 2025-3-24 21:49 作者: CHARM 時(shí)間: 2025-3-25 00:01
Yun-Bo Zhao,Guo-Ping Liu,Yu Kang,Li Yurkflow enactment engine, domain and application independent, but it also measures the significance of workflow parameters using the Ant Colony Optimization meta-heuristic technique. Major contributions include: (1) interoperable provenance system, (2) quantification of parameters significance, and (3) generation of executable workflow documents.作者: BILL 時(shí)間: 2025-3-25 04:24 作者: 精確 時(shí)間: 2025-3-25 10:05 作者: maverick 時(shí)間: 2025-3-25 14:13 作者: Jingoism 時(shí)間: 2025-3-25 17:50
Transparent Data Cube for Spatiotemporal Data Mining and Visualizationan MPI compute cluster for data processing and rendering on a tiled-display video wall. This approach results in a scalable and inexpensive architecture for interactive analysis and high-resolution mapping of environmental and remote sensing data which we use for comparative study of the climate and vegetation change.作者: 拱形面包 時(shí)間: 2025-3-25 20:40 作者: remission 時(shí)間: 2025-3-26 00:39
Surgical Management of Intersex in Childhood held across dynamic, virtual organisations [1-3]. These techniques, originally developed for data grids in domains such as high-energy particle physics [4], have been adapted to make use of the emerging cloud infrastructures?[5].作者: 重力 時(shí)間: 2025-3-26 05:39
Scientific Computation and Data Management Using Microsoft Windows Azure to clouds. With the use of a case study, Microsoft Windows Azure has been applied to Space Situational Awareness (SSA) creating a system that is robust and scalable, demonstrating how to harness the capabilities of cloud computing. The generic aspects of cloud computing are discussed throughout.作者: harpsichord 時(shí)間: 2025-3-26 11:38 作者: Biomarker 時(shí)間: 2025-3-26 14:34 作者: Reclaim 時(shí)間: 2025-3-26 18:35 作者: Terrace 時(shí)間: 2025-3-27 00:18
Open Standards for Service-Based Database Access and Integrationtegration standards for distributed environments. These standards provide a set of uniform web service-based interfaces for data access. A core specification, WS-DAI, exposes and, in part, manages data resources exposed by DAIS-based services. The WS-DAI document defines a core set of access pattern作者: 妨礙議事 時(shí)間: 2025-3-27 04:00 作者: 哺乳動(dòng)物 時(shí)間: 2025-3-27 08:53
Distributed Data Management with OGSA–DAIdistributed data (e.g. relational, XML, files and RDF triples). It does this by executing workflows that can encapsulate complex distributed data management scenarios in which data from one or more sources can be accessed, updated, combined and transformed. Moreover, the data processing capabilities作者: 楓樹(shù) 時(shí)間: 2025-3-27 10:24
The DASCOSA-DB Grid Database System requirements for efficient query processing. To meet these requirements, we have developed the DASCOSA-DB distributed database system. In this chapter, a detailed overview of the architecture and implementation of DASCOSA-DB is given, as well as a description of novel features developed to better s作者: SSRIS 時(shí)間: 2025-3-27 16:57
Access Control and Trustiness for Resource Management in Cloud Databasesabase. There are numerous service providers such as feeders, owners, and creators, who are less likely the same agent. Consequently, resources in a cloud database cannot be securely managed by traditional access control models, and therefore cloud database services may be trustless. This chapter pro作者: 貨物 時(shí)間: 2025-3-27 19:08 作者: 詼諧 時(shí)間: 2025-3-28 01:28 作者: essential-fats 時(shí)間: 2025-3-28 02:15
Scientific Computation and Data Management Using Microsoft Windows Azure to clouds. With the use of a case study, Microsoft Windows Azure has been applied to Space Situational Awareness (SSA) creating a system that is robust and scalable, demonstrating how to harness the capabilities of cloud computing. The generic aspects of cloud computing are discussed throughout.作者: 粗野 時(shí)間: 2025-3-28 10:07 作者: 珍奇 時(shí)間: 2025-3-28 13:38
Provenance Support for Data-Intensive Scientific Workflowssmall to large numbers. The traditional way of logging experimental process is no longer valid. This has resulted in a need for techniques to automatically collect information on workflows known as provenance. Several solutions for e-Science provenance have been proposed but these are predominantly 作者: 驚奇 時(shí)間: 2025-3-28 17:57 作者: 假 時(shí)間: 2025-3-28 19:16 作者: 冷漠 時(shí)間: 2025-3-29 02:40
Grid Technologies for Satellite Data Processing and Management Within International Disaster Monitorried out by the Space Research Institute NASU-NSAU, Ukraine (SRI NASU-NSAU). This includes the integration of the Ukrainian and Russian satellite monitoring systems at the data level, and the development of the InterGrid infrastructure that integrates several regional and national Grid systems. A pr作者: 咽下 時(shí)間: 2025-3-29 05:36
Transparent Data Cube for Spatiotemporal Data Mining and Visualizationisualization or rendering farm. Transparent data cube combines on the same hardware a database cluster for active storage of spatiotemporal data with an MPI compute cluster for data processing and rendering on a tiled-display video wall. This approach results in a scalable and inexpensive architectu作者: Cubicle 時(shí)間: 2025-3-29 10:24
Robert F. Cavanagh,William P. Fisher Jr.tegration standards for distributed environments. These standards provide a set of uniform web service-based interfaces for data access. A core specification, WS-DAI, exposes and, in part, manages data resources exposed by DAIS-based services. The WS-DAI document defines a core set of access pattern作者: 非秘密 時(shí)間: 2025-3-29 11:23
Pacific Salmon & their Ecosystemsr standards to ensure interoperability and avoid vendor lock-in. Since such standards need to satisfy many requirements, use cases, and applications, they need to be extremely flexible and adaptive. The Open Cloud Computing Interface (OCCI) family of specifications aims to achieve this goal: origina作者: 違法事實(shí) 時(shí)間: 2025-3-29 17:29 作者: 使堅(jiān)硬 時(shí)間: 2025-3-29 20:21
Pacifists, Patriots and the Vote requirements for efficient query processing. To meet these requirements, we have developed the DASCOSA-DB distributed database system. In this chapter, a detailed overview of the architecture and implementation of DASCOSA-DB is given, as well as a description of novel features developed to better s作者: adj憂(yōu)郁的 時(shí)間: 2025-3-30 01:57 作者: Incorporate 時(shí)間: 2025-3-30 05:33 作者: Nonthreatening 時(shí)間: 2025-3-30 09:21 作者: 犬儒主義者 時(shí)間: 2025-3-30 13:17 作者: Glycogen 時(shí)間: 2025-3-30 17:09
Packende Spiele für Ihren Commodore 64knowledge from all this information. Data mining provides means for at least a partial solution to this problem. However, it would be too expensive to all these areas of human activity and companies to develop their own data mining solutions, develop software, and deploy it on their private infrastr作者: expire 時(shí)間: 2025-3-30 22:36 作者: keloid 時(shí)間: 2025-3-31 03:01 作者: 公式 時(shí)間: 2025-3-31 05:32 作者: ZEST 時(shí)間: 2025-3-31 11:13
The emotional abuse of childrenried out by the Space Research Institute NASU-NSAU, Ukraine (SRI NASU-NSAU). This includes the integration of the Ukrainian and Russian satellite monitoring systems at the data level, and the development of the InterGrid infrastructure that integrates several regional and national Grid systems. A pr
