2014 9th International Conference on Computer Engineering & Systems (ICCES)最新文献_第4页

Self adaptive Hadoop scheduler for heterogeneous resources 异构资源的自适应Hadoop调度器

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030999

A. Elkholy, E. Sallam

{"title":"Self adaptive Hadoop scheduler for heterogeneous resources","authors":"A. Elkholy, E. Sallam","doi":"10.1109/ICCES.2014.7030999","DOIUrl":"https://doi.org/10.1109/ICCES.2014.7030999","url":null,"abstract":"Nowadays, Hadoop is a widely used framework for processing large data. Hadoop scheduler is a critical element which has a big effect on Hadoop performance. Finding a dynamic scheduler which adapts to different nodes computing capabilities and the same node performance is a challenging problem. Most of the current Hadoop schedulers consider the homogeneity of the resources on which Hadoop is running and assign each node in the cluster a fixed capacity over the run time, neglecting the different nodes computing capabilities and the performance of each node over the run time. This causes under/over utilization of resources, poor performance and longer run time. So, we propose a dynamic Hadoop scheduler which adapts to the performance and the computing capabilities of each node separately. The proposed scheduler controls the capacity of each node which represented by the number of tasks that can be processed concurrently at a time. The scheduler extends/shrinks the capacity of each node depending on its available resources and performance over the run time. Our scheduler is implemented on Hadoop and compared by the Hadoop Fair Scheduler. The experimental results show that our scheduler has achieved less average completion time and higher resources utilization.","PeriodicalId":339697,"journal":{"name":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121962254","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: 8

Network Of Cores For Large Systems 大型系统的核心网络

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030961

Amr Hany, M. El-Moursy, H. Fahmy

引用次数: 1

A probabilistic paging technique for location management in PCS networks 一种用于pc网络位置管理的概率寻呼技术

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030918

Amr A. Mohamed, Amr M. T. Ali-Eldin, A. Saleh

引用次数: 4

New Web cache replacement approaches based on internal requests factor 基于内部请求因素的新的Web缓存替换方法

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030990

A. Sarhan, Ahmed M. Elmogy, S. Ali

{"title":"New Web cache replacement approaches based on internal requests factor","authors":"A. Sarhan, Ahmed M. Elmogy, S. Ali","doi":"10.1109/ICCES.2014.7030990","DOIUrl":"https://doi.org/10.1109/ICCES.2014.7030990","url":null,"abstract":"The increasing demand for World Wide Web (WWW) services has led to a considerable increase in the amount of Internet traffic. As a result, the network becomes highly prone to congestion which increases the load on servers, resulting in increasing the access times of WWW documents. Thus, Web caching is crucial for reducing the load on network, shorten network latency and improve clients' waiting time. Many web cashing systems and policies have been proposed to determine which objects to evict from the cache memory to accommodate new ones. Most of these systems and policies are mainly based on the enhancement of a well-known scheme called the Least Frequently Used (LFU) scheme. Although most of the proposed schemes could overcome the disadvantages of the LFU, they still have lots of overhead and are difficult to implement. This work proposes replacement approaches with better characteristics as they are easier to be implemented than the previous approaches. The proposed approaches consider the internal requests generated in each Web site. We added this factors to two famous approaches; LFU and Weighting Replacement Policy (WRP) to strength their performance. The experimental results indicate the superiority of the proposed approaches compared to both LFU and WRP, in terms of improvement in cache performance.","PeriodicalId":339697,"journal":{"name":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116882219","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: 7

Green cloud computing: Datacenters power management policies and algorithms 绿色云计算:数据中心电源管理策略和算法

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030998

Shahinaz R. Hussein, Y. Alkabani, H. K. Mohamed

引用次数: 16

Energy efficient resource management for Cloud Computing Environment 面向云计算环境的节能资源管理

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030997

Hend A. Selmy, Y. Alkabani, H. K. Mohamed

引用次数: 9

Efficient optimized query mesh for data streams 高效优化的数据流查询网格

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030949

Fatma Mohamed, R. Ismail, N. Badr, M. Tolba

引用次数: 3

ICPMD: Integrated cross-platform mobile development solution ICPMD:集成的跨平台移动开发解决方案

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030977

Wafaa S. El-Kassas, Bassem A. Abdullah, A. Yousef, A. Wahba

{"title":"ICPMD: Integrated cross-platform mobile development solution","authors":"Wafaa S. El-Kassas, Bassem A. Abdullah, A. Yousef, A. Wahba","doi":"10.1109/ICCES.2014.7030977","DOIUrl":"https://doi.org/10.1109/ICCES.2014.7030977","url":null,"abstract":"In these days, smartphones become much more used than the personal computers because of the various categories of applications downloadable from the store. The vendors of smartphones support different platforms hence to reach as many users as possible, the developer has to develop the same application for all these platforms using the different tools and programming languages provided by each platform vendor. Therefore the cross-platform mobile applications development solutions were introduced to develop the application once and run it everywhere. The cross-platform solutions use different approaches for native development such as cross-compilation, Model-Driven Development ...etc. None of these approaches claim that it provides a complete solution as they are still under research and development. This paper introduces a new integrated cross-platform mobile development solution that merges between different approaches to benefit from the advantages and minimize the drawbacks of each approach. The main contributions include: explore the approaches used in designing the new solution, explain the research methodology and the new solution architecture along with the implementation, and evaluate the limitations of the new proposed architecture and implementation compared to known solutions. The results show substantial improvement over existing solutions.","PeriodicalId":339697,"journal":{"name":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133886744","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: 18

Database intrusion detection using sequential data mining approaches 使用顺序数据挖掘方法的数据库入侵检测

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030937

Pakinam Elamein Abd Elaziz, M. Sobh, H. K. Mohamed

引用次数: 3

Application of genetic algorithm trained masterslave Neural Network for differential protection of power transformer 遗传算法训练主从神经网络在电力变压器差动保护中的应用

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030950

D. N. Vishwakarma, H. Balaga, Harshit Nath

{"title":"Application of genetic algorithm trained masterslave Neural Network for differential protection of power transformer","authors":"D. N. Vishwakarma, H. Balaga, Harshit Nath","doi":"10.1109/ICCES.2014.7030950","DOIUrl":"https://doi.org/10.1109/ICCES.2014.7030950","url":null,"abstract":"The proposed work presents the use of Artificial Neural Network (ANN) as a pattern classifier for differential protection of power transformer, which makes the discrimination among normal, magnetizing inrush, over-excitation and internal fault currents. This scheme has been realized through two separate customized Parallel-Hidden Layered ANN architectures which work in Master-slave mode. The Back Propagation Neural Network (BP) Algorithm and Genetic Algorithm (GA) are used to train the multi-layered feed forward neural network and their simulated results are compared. The neural network trained by Genetic algorithm gives more accurate results (in terms of mean square error) than that trained by Back Propagation Algorithm. Relaying signals under different fault conditions are obtained by simulating the system using MATLAB Simulink and SimPowerSystem toolbox. Simulated data are used as an input to the algorithm to verify the correctness of the algorithm. The GA trained ANN based differential protection scheme provides faster, accurate, more secured and dependable results for power transformers.","PeriodicalId":339697,"journal":{"name":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124788799","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: 11