標(biāo)題: Titlebook: Data Management in Cloud, Grid and P2P Systems; 6th International Co Abdelkader Hameurlain,Wenny Rahayu,David Taniar Conference proceedings [打印本頁] 作者: Inspection 時(shí)間: 2025-3-21 19:31
書目名稱Data Management in Cloud, Grid and P2P Systems影響因子(影響力)
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書目名稱Data Management in Cloud, Grid and P2P Systems被引頻次
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書目名稱Data Management in Cloud, Grid and P2P Systems讀者反饋
書目名稱Data Management in Cloud, Grid and P2P Systems讀者反饋學(xué)科排名
作者: 討厭 時(shí)間: 2025-3-21 23:13
Incremental Algorithms for Selecting Horizontal Schemas of Data Warehouses: The Dynamic Casenown set of queries. Contrary to this, in real-life applications, queries may change dynamically and fragmentation heuristics need to integrate these changes. Following this main consideration, in this paper we propose and experimentally assess ..作者: 冬眠 時(shí)間: 2025-3-22 00:57
Scalable and Fully Consistent Transactions in the Cloud through Hierarchical Validationion. However, transaction management on replicated data poses a number of challenges. One of the most important is isolation: Coordinating simultaneous transactions in a local system is relatively straightforward, but for databases distributed across multiple geographical sites, this requires costly作者: gerrymander 時(shí)間: 2025-3-22 07:06
A Distributed Publish/Subscribe System for RDF Dataal-time web, sensor networks, etc.) thanks to the decoupling between publishers and subscribers. At the same time, persisting the published information is a prerequisite for any further batch analytics on such big amount of data. As data can be heterogeneous, reliance on format from the semantic web作者: OASIS 時(shí)間: 2025-3-22 10:16
An Algorithm for Querying Linked Data Using Map-Reduceed data. The algorithm is based on the idea that the data graph can be arbitrarily partitioned into . which can be stored in different nodes of a cluster of commodity computers. To answer a user query ., . is also decomposed into a set of subqueries. In the first phase, the subqueries are applied to作者: concert 時(shí)間: 2025-3-22 14:14 作者: concert 時(shí)間: 2025-3-22 17:11 作者: vitreous-humor 時(shí)間: 2025-3-22 23:58
Using Multiple Data Stores in the Cloud: Challenges and Solutionsurces which are offered as services. In this context, there is a services pool that supports platforms and mechanisms in order to guarantee the applications development and execution. This set of services is called platform as a service (PaaS). One of the main goals of the PaaS is to support large d作者: Senescent 時(shí)間: 2025-3-23 02:15
Repair Time in Distributed Storage Systems a way to mitigate the growing energy, bandwidth and device costs of traditional data centers, following the popularity of cloud computing. These service provider-controlled peer-to-peer systems take advantage of resources already committed to always-on set top boxes, the fact they do not generate h作者: Junction 時(shí)間: 2025-3-23 05:59 作者: Kernel 時(shí)間: 2025-3-23 12:22 作者: Ptosis 時(shí)間: 2025-3-23 15:53 作者: gonioscopy 時(shí)間: 2025-3-23 21:51 作者: Bmd955 時(shí)間: 2025-3-24 00:53
Eyes on the Ground, Spring 2012,ion. However, transaction management on replicated data poses a number of challenges. One of the most important is isolation: Coordinating simultaneous transactions in a local system is relatively straightforward, but for databases distributed across multiple geographical sites, this requires costly作者: 范例 時(shí)間: 2025-3-24 05:54 作者: entreat 時(shí)間: 2025-3-24 07:55 作者: Aerate 時(shí)間: 2025-3-24 13:06 作者: 怎樣才咆哮 時(shí)間: 2025-3-24 18:33 作者: Barrister 時(shí)間: 2025-3-24 22:47 作者: 運(yùn)動(dòng)性 時(shí)間: 2025-3-24 23:49 作者: 偽善 時(shí)間: 2025-3-25 06:15 作者: 癡呆 時(shí)間: 2025-3-25 07:33
https://doi.org/10.1007/978-3-642-40053-7MapReduce; algorithms; cloud computing; data warehouses; distributed systems作者: 紅腫 時(shí)間: 2025-3-25 12:19 作者: 鉗子 時(shí)間: 2025-3-25 18:53 作者: Culpable 時(shí)間: 2025-3-25 22:07
https://doi.org/10.1007/978-1-4615-6081-4nown set of queries. Contrary to this, in real-life applications, queries may change dynamically and fragmentation heuristics need to integrate these changes. Following this main consideration, in this paper we propose and experimentally assess ..作者: 高爾夫 時(shí)間: 2025-3-26 03:52
Abdelkader Hameurlain,Wenny Rahayu,David TaniarState-of-the-art research.Fast-track conference proceedings.Unique visibility作者: 食料 時(shí)間: 2025-3-26 06:09 作者: 背書 時(shí)間: 2025-3-26 10:02 作者: FLACK 時(shí)間: 2025-3-26 13:56
https://doi.org/10.1007/88-470-0395-4dresses implementation issues within a specific cloud service and highlights key decisions and their effect on scalability and cost. Finally, it describes our experiences in deploying a widely used platform with both Web and mobile client interfaces and its ability to cope with load spikes while maintaining a low quiescent cost.作者: Ledger 時(shí)間: 2025-3-26 17:44
Conference proceedings 2013ld in Prague, Czech Republic, in August 2013 in conjunction with DEXA 2013. The 10 revised full papers presented were carefully reviewed and selected from 19 submissions. The papers are organized in the following topical sections: data partitioning and consistency; RDF data publishing, querying link作者: JOT 時(shí)間: 2025-3-26 23:08 作者: Compatriot 時(shí)間: 2025-3-27 03:48
https://doi.org/10.1007/978-3-319-30622-3ers of the query .. The proposed algorithm computes the answers to a given query correctly, independently of a) the data graph partitioning, b) how graph segments are stored, c) the query decomposition, and d) the algorithm used for calculating (partial) results.作者: larder 時(shí)間: 2025-3-27 07:20 作者: commensurate 時(shí)間: 2025-3-27 10:49
Modifica e combinazione di codiciual PC-type thin client system, called a “virtual PC system,” as a new virtualization technology for the desktop. In this paper, we give the problems we had when managing large-scale users in a virtual PC system and suggest the solution.作者: 蔑視 時(shí)間: 2025-3-27 15:58
An Algorithm for Querying Linked Data Using Map-Reduceers of the query .. The proposed algorithm computes the answers to a given query correctly, independently of a) the data graph partitioning, b) how graph segments are stored, c) the query decomposition, and d) the algorithm used for calculating (partial) results.作者: 按時(shí)間順序 時(shí)間: 2025-3-27 20:23 作者: 館長 時(shí)間: 2025-3-27 23:43
Development and Evaluation of a Virtual PC Type Thin Client Systemual PC-type thin client system, called a “virtual PC system,” as a new virtualization technology for the desktop. In this paper, we give the problems we had when managing large-scale users in a virtual PC system and suggest the solution.作者: Sarcoma 時(shí)間: 2025-3-28 04:09
Deploying a Multi-interface RESTful Application in the Clouddresses implementation issues within a specific cloud service and highlights key decisions and their effect on scalability and cost. Finally, it describes our experiences in deploying a widely used platform with both Web and mobile client interfaces and its ability to cope with load spikes while maintaining a low quiescent cost.作者: 看法等 時(shí)間: 2025-3-28 08:16 作者: 先兆 時(shí)間: 2025-3-28 14:30 作者: 友好關(guān)系 時(shí)間: 2025-3-28 18:07 作者: SLUMP 時(shí)間: 2025-3-28 19:50
A Distributed Publish/Subscribe System for RDF Data the event elements. Thus, only subscriptions and not publications have to be duplicated, which is better given that in real settings, publications may occur more frequently than subscriptions. Furthermore, our system allows to publish events made of any number of elements and the subscription langu作者: 注意 時(shí)間: 2025-3-29 00:23 作者: 繞著哥哥問 時(shí)間: 2025-3-29 06:47
Repair Time in Distributed Storage Systemst the same time (when the system detects that a peer has failed)..We propose a new analytical framework that takes into account this correlation when estimating the repair time and the probability of data loss. We show that the load is unbalanced among peers (young peers inherently store less data t作者: 悄悄移動(dòng) 時(shí)間: 2025-3-29 09:04
https://doi.org/10.1007/978-1-4613-0165-3tuples to the appropriate chunks. We evaluated our approach through experimentation in a Hadoop deployment on top of Grid5000 using standard benchmarks. The results show high reduction in data transfer during the shuffle phase compared to Native Hadoop.作者: GROWL 時(shí)間: 2025-3-29 15:27
