2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing最新文献_第3页

Analysis of the BitTorrent Protocol Modified with Fountain Code 用喷泉码修改BitTorrent协议的分析

2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2012-11-12 DOI: 10.1109/3PGCIC.2012.10

E. Costa-Montenegro, P. Rodríguez-Hernández, C. López-Bravo, Ana Belén Barragáns-Martínez

引用次数: 0

Cloud Protection by Obfuscation: Techniques and Metrics 云保护的混淆:技术和度量

2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2012-11-12 DOI: 10.1109/3PGCIC.2012.18

Muhammad Hataba, A. El-Mahdy

引用次数: 26

Addressing QoS in Grids through a Fairshare Meta-scheduling In-Advance Architecture 通过Fairshare元调度超前架构在网格中寻址QoS

2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2012-11-12 DOI: 10.1109/3PGCIC.2012.7

Luis Tomás, Per-Olov Östberg, María Blanca Caminero, C. Carrión, E. Elmroth

{"title":"Addressing QoS in Grids through a Fairshare Meta-scheduling In-Advance Architecture","authors":"Luis Tomás, Per-Olov Östberg, María Blanca Caminero, C. Carrión, E. Elmroth","doi":"10.1109/3PGCIC.2012.7","DOIUrl":"https://doi.org/10.1109/3PGCIC.2012.7","url":null,"abstract":"Federated Grid resources typically span multiple administrative domains and utilize heterogeneous schedulers. This complexity complicates not only provisioning of quality of service but also management and enforcement of end-user resource utilization allocations. to overcome these problems, we propose to combine high-level meta-scheduling techniques with lower-level fairs hare prioritization mechanisms to create a framework that improves end-user quality of service in heterogeneous distributed computing environments. to illustrate the approach we present a prototype architecture based on two existing systems, the meta-scheduling framework SA-Layer and the distributed fairs hare prioritization system Aequus. the proposed architecture constitutes a predictive meta-scheduling architecture that performs fair user-level scheduling prioritization and enacts resource utilization quotas, whilst also providing synergetic effects that improve the performance of the individual system components. to characterize the contribution, the proposed system is evaluated on a test bed consisting of geographically dispersed, heterogeneous computing resources spanning multiple administration domains.","PeriodicalId":364233,"journal":{"name":"2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132863230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Pool vs. Island Based Evolutionary Algorithms: An Initial Exploration 基于池与岛的进化算法:初步探索

2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2012-11-12 DOI: 10.1109/3PGCIC.2012.56

J. J. M. Guervós, A. García, C. Fernandes, Anna I. Esparcia-Alcázar, J. L. Laredo

引用次数: 9

A General Purpose Parallel Block Structured Open Source Flow Solver 通用并行块结构开源流求解器

2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2012-11-12 DOI: 10.1109/3PGCIC.2012.2

M. Mendina, M. Draper, Gabriel Narancio, G. Usera, A. P. Soares

引用次数: 2

A New Metric for Comparison of P2P Search Algorithms 一种比较P2P搜索算法的新度量

2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2012-11-12 DOI: 10.1109/3PGCIC.2012.3

F. Sharifkhani, Mohammadreza Pakravan

引用次数: 2

An Optimized MPI-based Approach for Solving the N-Queens Problem 一种基于mpi优化的N-Queens问题求解方法

2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2012-11-12 DOI: 10.1109/3PGCIC.2012.8

A. Khademzadeh, Morteza Aghamohammadian Sharbaf, Amin Bayati

引用次数: 2

Secret Key Generation within Peer-to-Peer Network Overlays 点对点网络覆盖中的秘密密钥生成

2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2012-11-12 DOI: 10.1109/3PGCIC.2012.62

M. G. Madiseh, M. McGuire, S. Neville

引用次数: 1

Solving Very Large Optimization Problems (Up to One Billion Variables) with a Parallel Evolutionary Algorithm in CPU and GPU 在CPU和GPU上用并行进化算法求解超大型优化问题(多达10亿个变量)

2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2012-11-12 DOI: 10.1109/3PGCIC.2012.63

S. Iturriaga, Sergio Nesmachnow

引用次数: 13

Boosting Open-Source Database Engines with Graphics Processors 用图形处理器提升开源数据库引擎

2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2012-11-12 DOI: 10.1109/3PGCIC.2012.14

Nicolas Dechamps, M. Bagein, M. Benjelloun, S. Mahmoudi

{"title":"Boosting Open-Source Database Engines with Graphics Processors","authors":"Nicolas Dechamps, M. Bagein, M. Benjelloun, S. Mahmoudi","doi":"10.1109/3PGCIC.2012.14","DOIUrl":"https://doi.org/10.1109/3PGCIC.2012.14","url":null,"abstract":"In recent years, graphics chips known as GPUs have become increasingly important in the field of supercomputing. These chips are effective on heavy and highly parallelizable calculations. They naturally found applications in the scientific world for example in weather forecasting, molecular modeling and audio or video processing. Previous work has shown the ability to implement on a GPU some of the operations that can typically be found in database engines. in this context, we studied how to adapt an open source relational database engine to allow it to run on a GPU. for this, we developed a prototype based on the SQLite open source project allowing us to perform a variety of insertion and selection queries that manipulate data stored in the GPU memory. Our database engine support record filtering, relational joins, aggregation functions and most of the operators and functions working on both numbers and strings. for all of those, we implemented efficient algorithms taking into account the specific architecture of the GPU. the execution speedups of most queries were improved by a factor from ten to two hundred in comparison of the CPU counterpart. Therefore, our GPU-running database engine is able to improve system responsiveness and/or reduce the number of machines needed for an equivalent amount of data to process, thereby improving the energy efficiency.","PeriodicalId":364233,"journal":{"name":"2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115866533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1