Daidzein
发表于 2025-3-21 17:47:59
书目名称Algorithmic Aspects of Cloud Computing影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0152904<br><br> <br><br>书目名称Algorithmic Aspects of Cloud Computing影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0152904<br><br> <br><br>书目名称Algorithmic Aspects of Cloud Computing网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0152904<br><br> <br><br>书目名称Algorithmic Aspects of Cloud Computing网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0152904<br><br> <br><br>书目名称Algorithmic Aspects of Cloud Computing被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0152904<br><br> <br><br>书目名称Algorithmic Aspects of Cloud Computing被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0152904<br><br> <br><br>书目名称Algorithmic Aspects of Cloud Computing年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0152904<br><br> <br><br>书目名称Algorithmic Aspects of Cloud Computing年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0152904<br><br> <br><br>书目名称Algorithmic Aspects of Cloud Computing读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0152904<br><br> <br><br>书目名称Algorithmic Aspects of Cloud Computing读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0152904<br><br> <br><br>
GNAW
发表于 2025-3-21 21:36:15
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.
迎合
发表于 2025-3-22 01:02:06
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
刺耳的声音
发表于 2025-3-22 07:12:39
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
legacy
发表于 2025-3-22 12:06:28
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
FUSC
发表于 2025-3-22 16:35:06
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
LOPE
发表于 2025-3-22 18:18:29
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
衰弱的心
发表于 2025-3-22 23:21:10
http://reply.papertrans.cn/16/1530/152904/152904_8.png
圣歌
发表于 2025-3-23 04:37:01
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
平息
发表于 2025-3-23 06:48:54
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