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Titlebook: Algorithmic Aspects of Cloud Computing; First International Ioannis Karydis,Spyros Sioutas,Dimitrios Tsoumakos Conference proceedings 2016

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發(fā)表于 2025-3-21 17:47:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Algorithmic Aspects of Cloud Computing
期刊簡(jiǎn)稱First International
影響因子2023Ioannis Karydis,Spyros Sioutas,Dimitrios Tsoumakos
視頻videohttp://file.papertrans.cn/153/152904/152904.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Algorithmic Aspects of Cloud Computing; First International  Ioannis Karydis,Spyros Sioutas,Dimitrios Tsoumakos Conference proceedings 2016
影響因子.This book constitutes the thoroughly refereedpost-conference proceedings of the First International Workshop on AlgorithmicAspects of Cloud Computing, ALGOCLOUD 2015, held in Patras, Greece, inSeptember 2015 in conjunction with ALGO 2015...The 13 revised full papers presented together with 2tutorial 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..
Pindex Conference proceedings 2016
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發(fā)表于 2025-3-21 21:36:15 | 只看該作者
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.
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發(fā)表于 2025-3-22 01:02:06 | 只看該作者
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
地板
發(fā)表于 2025-3-22 07:12:39 | 只看該作者
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
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發(fā)表于 2025-3-22 12:06:28 | 只看該作者
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
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發(fā)表于 2025-3-22 16:35:06 | 只看該作者
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
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發(fā)表于 2025-3-22 18:18:29 | 只看該作者
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
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發(fā)表于 2025-3-23 04:37:01 | 只看該作者
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
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發(fā)表于 2025-3-23 06:48:54 | 只看該作者
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
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