標(biāo)題: Titlebook: Algorithmic Aspects of Cloud Computing; First International Ioannis Karydis,Spyros Sioutas,Dimitrios Tsoumakos Conference proceedings 2016 [打印本頁(yè)] 作者: Daidzein 時(shí)間: 2025-3-21 17:47
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書目名稱Algorithmic Aspects of Cloud Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Algorithmic Aspects of Cloud Computing被引頻次
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書目名稱Algorithmic Aspects of Cloud Computing年度引用學(xué)科排名
書目名稱Algorithmic Aspects of Cloud Computing讀者反饋
書目名稱Algorithmic Aspects of Cloud Computing讀者反饋學(xué)科排名
作者: GNAW 時(shí)間: 2025-3-21 21:36
Secret Shared Random Access Machineortant in the scope avoiding information leakage when executing programs over a single computer as well as over the clouds. In this paper, we propose a distributed scheme for evaluating RAM programs without revealing any information on the computation including the program, the data and the result. 作者: 迎合 時(shí)間: 2025-3-22 01:02
Column Generation Integer Programming for Allocating Jobs with Periodic Demand Variationsysis of a public Google trace corresponding to the use of a production cluster over a long period shows that long-running services experience demand variations with a periodic (daily) pattern, and that services with such a pattern account for most of the overall CPU demand. This leads to an allocati作者: 刺耳的聲音 時(shí)間: 2025-3-22 07:12
SSSDB: Database with Private Information Searchng secretly shared data, which is stored in public clouds separately. The new capabilities of SSS serve as a base for a newly defined SSS database SSSDB with reduced communication overhead and better security compared with private information retrieval (PIR) based databases. Clouds know neither the 作者: legacy 時(shí)間: 2025-3-22 12:06
Graph DBs , Column-Oriented Stores: A Pure Performance Comparison we need a middleware framework, such as Apache Hadoop [.], that provides reliability, scalability and distributed computing. Once the infrastructure has been established, a software framework can be installed, which runs on top of it and will be the connection to communicate with the applications d作者: FUSC 時(shí)間: 2025-3-22 16:35
Distributed XML Filtering Using HADOOP Framework with considerable flexibility allowing the formulation of complex queries on the content as well as the structure of the streaming messages. Messages that contain one or more matches for a given user profile (query) are forwarded to the user. Typically the use of XML representation entails the prof作者: LOPE 時(shí)間: 2025-3-22 18:18
Efficient Bin Packing Algorithms for Resource Provisioning in the Cloudblem where bins represent physical machines and items represent virtual machines with dynamic load. The input to the problem is a sequence of operations each involving an insertion, deletion or updating the size of an item. The goal is to use live migration to achieve packings with a small number of作者: 衰弱的心 時(shí)間: 2025-3-22 23:21 作者: 圣歌 時(shí)間: 2025-3-23 04:37
Convex Polygon Planar Range Queries on the Cloud: Grid vs. Angle-Based Partitioninghe subset of points falling inside the polygon can be reported efficiently. Such queries find great applicability in areas such as computer graphics, spatial databases and GIS applications. However, as the size of spatial data grows rapidly existing centralized solutions fail to retrieve the results作者: 平息 時(shí)間: 2025-3-23 06:48
ART,: A Fault-Tolerant Decentralized Tree Structure with Ultimate Sub-logarithmic Efficiencyterms of number of nodes as well as of data items stored. The solutions proposed in literature are inadequate for our purposes, since their classic logarithmic complexity is too expensive even for single queries. In this work, we contribute the ART. (Autonomous Range Tree) structure, which outperfor作者: figment 時(shí)間: 2025-3-23 10:29 作者: CREEK 時(shí)間: 2025-3-23 16:30 作者: 撕裂皮肉 時(shí)間: 2025-3-23 21:42 作者: 剛開(kāi)始 時(shí)間: 2025-3-23 22:20
An Overview of Methods for Handling Evolving Graph Sequencestantly evolving. The state (snapshot) of a graph at various time instances forms an evolving graph sequence. By incorporating temporal information in the traditional graph queries, valuable characteristics regarding the nature of a graph can be extracted such as the evolution of the shortest path di作者: 牢騷 時(shí)間: 2025-3-24 05:59 作者: 越自我 時(shí)間: 2025-3-24 08:47
Density Matrix Theory and Applicationsd based on Google’s BigTable [.]. Neo4j has being designed and developed to be a reliable database, optimized for graph structures, instead of tables, and is a robust, scalable, high performance and high available database that supports ACID transactions and queries written in Cypher language. The a作者: gastritis 時(shí)間: 2025-3-24 10:50 作者: chandel 時(shí)間: 2025-3-24 15:18 作者: abnegate 時(shí)間: 2025-3-24 20:27
Graph DBs , Column-Oriented Stores: A Pure Performance Comparisond based on Google’s BigTable [.]. Neo4j has being designed and developed to be a reliable database, optimized for graph structures, instead of tables, and is a robust, scalable, high performance and high available database that supports ACID transactions and queries written in Cypher language. The a作者: Gentry 時(shí)間: 2025-3-25 01:44
Efficient Bin Packing Algorithms for Resource Provisioning in the Cloudr a recent result of Song et al. [.] who introduced an algorithm, named VISBP, with a competitive ratio of 3/2. Our experiments indicate a considerable advantage for HarmonicMix over VISBP with respect to average-case performance. HarmonicMix is simple and runs as fast as classic bin packing algorit作者: Rustproof 時(shí)間: 2025-3-25 07:05 作者: falsehood 時(shí)間: 2025-3-25 11:30 作者: Kindle 時(shí)間: 2025-3-25 13:08 作者: euphoria 時(shí)間: 2025-3-25 16:55 作者: PET-scan 時(shí)間: 2025-3-25 20:49
Density Matrix Theory and Applicationsy), based on these tradeoffs, behave when deployed in virtual environments (of the BONFIRE facility) and how they are measured against widely used benchmarks such as YCSB. The results may be helpful for potential adopters to choose from these offerings, based on their individual needs for specific workloads or query structures.作者: TAIN 時(shí)間: 2025-3-26 00:51 作者: 大笑 時(shí)間: 2025-3-26 04:42 作者: 分開(kāi) 時(shí)間: 2025-3-26 09:58
Convex Polygon Planar Range Queries on the Cloud: Grid vs. Angle-Based Partitioninga distributed manner. We apply a grid-based and an angle-based partitioning scheme on the data space and perform a comparative analysis. Through our experimental evaluation we prove that our system is efficient, robust and scalable.作者: 沙漠 時(shí)間: 2025-3-26 12:53 作者: Acetaldehyde 時(shí)間: 2025-3-26 19:49 作者: audiologist 時(shí)間: 2025-3-26 23:53 作者: NOVA 時(shí)間: 2025-3-27 04:48 作者: 推遲 時(shí)間: 2025-3-27 08:56
An Overview of Methods for Handling Evolving Graph Sequencesstance between two vertices through time. Most modern graph processing systems are not suitable for this task since they operate on single very large graphs. In this work we review centralized and distributed methods and solutions proposed towards handling evolving graph sequences.作者: enterprise 時(shí)間: 2025-3-27 09:27
0302-9743 in two main tracks: algorithmicaspects of large-scale data stores, and software tools and distributedarchitectures for cloud-based data management..978-3-319-29918-1978-3-319-29919-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: deriver 時(shí)間: 2025-3-27 15:08
Density Matrix Theory and Applications In this paper we propose three different approaches for distributed XML filtering using the Hadoop framework. The experimental results clearly demonstrate that the proposed techniques provide good scalability and effectiveness for very large number of document and user queries, compared to traditional XML filtering.作者: 打擊 時(shí)間: 2025-3-27 17:58 作者: phase-2-enzyme 時(shí)間: 2025-3-28 01:12
Distributed XML Filtering Using HADOOP Framework In this paper we propose three different approaches for distributed XML filtering using the Hadoop framework. The experimental results clearly demonstrate that the proposed techniques provide good scalability and effectiveness for very large number of document and user queries, compared to traditional XML filtering.作者: Calculus 時(shí)間: 2025-3-28 03:36 作者: 男生戴手銬 時(shí)間: 2025-3-28 06:15
Conference proceedings 2016l papers were carefully reviewed and selected from 37 initialsubmissions. They cover a wide range of topics in two main tracks: algorithmicaspects of large-scale data stores, and software tools and distributedarchitectures for cloud-based data management..作者: 搖晃 時(shí)間: 2025-3-28 10:26
Density Matrix Theory and Applicationssome of the dominant platforms, software packages and application delivery tools and architectures that might help a multimedia-related application to be easily deployed, maintained and scale-up with as little limitations to performance and end-user QoE as possible.作者: 拉開(kāi)這車床 時(shí)間: 2025-3-28 15:27 作者: 極小 時(shí)間: 2025-3-28 21:04 作者: 現(xiàn)任者 時(shí)間: 2025-3-29 02:59
Density Matrix Theory and ApplicationsHashing technique for identifying similar records. These records have undergone an anonymization transformation using a Bloom filter-based encoding technique. Finally, we perform an experimental evaluation of all these methods and present the results.作者: LIKEN 時(shí)間: 2025-3-29 03:16 作者: conjunctiva 時(shí)間: 2025-3-29 07:39
A Tutorial on Blocking Methods for Privacy-Preserving Record LinkageHashing technique for identifying similar records. These records have undergone an anonymization transformation using a Bloom filter-based encoding technique. Finally, we perform an experimental evaluation of all these methods and present the results.作者: Benzodiazepines 時(shí)間: 2025-3-29 14:12
Transaction Management for Cloud-Based Graph Databasesmanagement for such cloud-based graph databases. In particular, we use various graph databases as case studies to survey the different levels of transaction support and concurrency control protocols offered. We also study data distribution issues and replication protocols. Finally, we highlight open issues that need to be addressed in the future.作者: Antioxidant 時(shí)間: 2025-3-29 17:43 作者: semiskilled 時(shí)間: 2025-3-29 23:16 作者: 主動(dòng) 時(shí)間: 2025-3-30 02:41 作者: arthroscopy 時(shí)間: 2025-3-30 06:21 作者: 分開(kāi) 時(shí)間: 2025-3-30 11:05
Density Matrix Theory and Applications we need a middleware framework, such as Apache Hadoop [.], that provides reliability, scalability and distributed computing. Once the infrastructure has been established, a software framework can be installed, which runs on top of it and will be the connection to communicate with the applications d作者: LARK 時(shí)間: 2025-3-30 14:24 作者: Femish 時(shí)間: 2025-3-30 17:06 作者: sparse 時(shí)間: 2025-3-30 23:30
Density Matrix Theory and Applicationssuch data grows, graph databases most often offer distributed solutions implemented in a cloud infrastructure. In this paper, we focus on transaction management for such cloud-based graph databases. In particular, we use various graph databases as case studies to survey the different levels of trans作者: PLIC 時(shí)間: 2025-3-31 01:51 作者: 有偏見(jiàn) 時(shí)間: 2025-3-31 07:35 作者: EXTOL 時(shí)間: 2025-3-31 13:06 作者: Bernstein-test 時(shí)間: 2025-3-31 14:06
https://doi.org/10.1007/978-3-642-20561-3oud deployments. The efficient handling of cloud elasticity is a challenge that attracts the interest of the research community. This work constitutes a survey of research efforts towards this direction. The main contribution of this work is an up-to-date review of the latest elasticity handling app
