2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)最新文献_第3页

A taxonomy of capabilities based DDoS defense architectures 基于DDoS防御体系结构的功能分类

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126615

Vamsi Kambhampati, C. Papadopoulos, D. Massey

引用次数: 10

Sequencing and disease variation detection tools and techniques 测序和疾病变异检测工具和技术

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126607

Adam P. DeLuca, A. Wagner, Kyle R. Taylor, B. Faga, David Thole, V. Sheffield, E. Stone, T. Casavant, T. Scheetz, T. Braun

{"title":"Sequencing and disease variation detection tools and techniques","authors":"Adam P. DeLuca, A. Wagner, Kyle R. Taylor, B. Faga, David Thole, V. Sheffield, E. Stone, T. Casavant, T. Scheetz, T. Braun","doi":"10.1109/AICCSA.2011.6126607","DOIUrl":"https://doi.org/10.1109/AICCSA.2011.6126607","url":null,"abstract":"Next-generation sequencing technology provides greater sequencing capacity to identify disease-causing variations. Currently there are many alignment tools and variation detection techniques, multiple SNP data sets used to filter out benign polymorphisms with the intent of enriching for disease-causing variations, and many tools and websites for annotating variations and performing pathogenicity prediction of variations. There is no consensus or standard with regards to which tools and corresponding parameter settings for each tool is appropriate for the different application of next-generation sequencing technologies for disease-causing variation identification. We have implemented an annotation pipeline that can easily use the output from different alignment tools (BLAT, BWA, BFAST, Bowtie) typically used to align sequence from next-generation sequencing and Sanger sequencing experiments. The Automated Sequence Analysis Pipeline (ASAP) reports variations using the HGVS standardized nomenclature[1] to facilitate comparison across tools and publications. To date, we have annotated the sequence from 13 exomes in an effort to identify disease-causing mutations.","PeriodicalId":375277,"journal":{"name":"2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114114016","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: 2

Modelling the performance of an SSD-Aware storage system using least squares regression 使用最小二乘回归对ssd感知存储系统的性能进行建模

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126623

A. Aldahlawi, E. El-Araby, S. Suboh, T. El-Ghazawi

{"title":"Modelling the performance of an SSD-Aware storage system using least squares regression","authors":"A. Aldahlawi, E. El-Araby, S. Suboh, T. El-Ghazawi","doi":"10.1109/AICCSA.2011.6126623","DOIUrl":"https://doi.org/10.1109/AICCSA.2011.6126623","url":null,"abstract":"Flash memory has lately been used as a cache located between the system main memory and the magnetic hard drives in order to create robust and cost effective hybrid storage systems. The reason comes from the growing density of Solid State Devices (SSDs) at lower prices with main advantage of high random read efficiency compared to magnetic hard drives. When predicting the performance of such hybrid storage systems, it is inevitable to study the trade-off in selecting the different storage elements such as the main memory and the SSD cache relative to the capacity of the magnetic hard drive. The parameters of such prediction model are determined based on the application that the storage system would serve. In this paper, a prediction model that uses experimental evaluation of a hybrid storage system and real applications/benchmarks is used. The model utilizes parameters of both the storage system and applications in order to predict system performance based on metrics that are commonly used in storage system evaluation. The model allows the designer to select the best hybrid storage system parameters that satisfy certain application performance requirements. The model is highly accurate with a minimal error and a high prediction confidence level (95%) in reference to the experimental data collected from real applications using the proposed SSD-aware hybrid storage system.","PeriodicalId":375277,"journal":{"name":"2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134423225","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

Challenges to development of multipurpose global federated testbed for Future Internet experimentation 面向未来互联网试验的多用途全球联合试验台开发面临的挑战

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126626

Mofassir Haque, K. Pawlikowski, S. K. Ray

引用次数: 8

Stochastically robust static resource allocation for energy minimization with a makespan constraint in a heterogeneous computing environment 异构计算环境下具有最大时间约束的能量最小化随机鲁棒静态资源分配

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126617

Jonathan Apodaca, B. D. Young, L. Briceno, Jay Smith, S. Pasricha, A. A. Maciejewski, H. Siegel, Shirish Bahirat, Bhavesh Khemka, Adrian Ramirez, Yong Zou

{"title":"Stochastically robust static resource allocation for energy minimization with a makespan constraint in a heterogeneous computing environment","authors":"Jonathan Apodaca, B. D. Young, L. Briceno, Jay Smith, S. Pasricha, A. A. Maciejewski, H. Siegel, Shirish Bahirat, Bhavesh Khemka, Adrian Ramirez, Yong Zou","doi":"10.1109/AICCSA.2011.6126617","DOIUrl":"https://doi.org/10.1109/AICCSA.2011.6126617","url":null,"abstract":"In a heterogeneous environment, uncertainty in system parameters may cause performance features to degrade considerably. It then becomes necessary to design a system that is robust. Robustness can be defined as the degree to which a system can function in the presence of inputs different from those assumed. In this research, we focus on the design of robust static resource allocation heuristics suitable for a heterogeneous compute cluster that minimize the energy required to complete a given workload. In this study, we mathematically model and simulate a heterogeneous computing system that is assumed part of a larger warehouse scale computing environment. Task execution times/energy consumption may vary significantly across different data sets in our heterogeneous cluster; therefore, the execution time of each task on each node is modeled as a random variable. A resource allocation is considered robust if the probability that all tasks complete by a system deadline is at least 90%. To minimize the energy consumption of a specific resource allocation, dynamic voltage frequency scaling (DVFS) is employed. However, other factors, such as system overhead (spent on fans, disks, memory, etc.) must also be mathematically modeled when considering minimization of energy consumption. In this research, we propose three different heuristics that employ DVFS to minimize energy consumed by a set of tasks in our heterogeneous computing system. Finally, a lower bound on energy consumption is provided to gauge the performance of our heuristics.","PeriodicalId":375277,"journal":{"name":"2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117310485","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: 13

A comparative study of PVD-based schemes for data hiding in digital images 基于pvd的数字图像数据隐藏方案的比较研究

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126588

El-Sayed M. El-Alfy, Azzat A. Al-Sadi

引用次数: 8

FIS-PNN: A hybrid computational method for protein-protein interaction prediction FIS-PNN:蛋白质相互作用预测的混合计算方法

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126594

S. A. Bakar, J. Taheri, Albert Y. Zomaya

引用次数: 2

GPU acceleration of an image characterization algorithm for document similarity analysis 一种用于文档相似度分析的图像表征算法的GPU加速

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126604

Guochun Shi, V. Kindratenko, R. Kooper, P. Bajcsy

引用次数: 2

Estimating the effect of cache misses on the performance of parallel applications using analytical models 使用分析模型估计缓存缺失对并行应用程序性能的影响

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126587

D. R. Martínez, Vicente Blanco Pérez, J. C. Cabaleiro, T. F. Pena, F. F. Rivera

引用次数: 0

Two-level checkpoint/restart modeling for GPGPU GPGPU的两级检查点/重启建模

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126619

S. Laosooksathit, Nichamon Naksinehaboon, C. Leangsuksun

引用次数: 5