2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)最新文献

Implementing Algorithmic Skeletons with Bulk Synchronous Parallel ML 用批量同步并行ML实现算法骨架

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-18 DOI: 10.1109/PDCAT.2017.00079

F. Loulergue

引用次数: 6

A Deadline-Partition Oriented Heterogeneous Multi-Core Scheduler for Periodic Tasks 面向截止时间分区的异构多核周期任务调度器

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00041

S. Moulik, R. Devaraj, A. Sarkar, Arijit Shaw

{"title":"A Deadline-Partition Oriented Heterogeneous Multi-Core Scheduler for Periodic Tasks","authors":"S. Moulik, R. Devaraj, A. Sarkar, Arijit Shaw","doi":"10.1109/PDCAT.2017.00041","DOIUrl":"https://doi.org/10.1109/PDCAT.2017.00041","url":null,"abstract":"Real-time systems are increasingly being implemented on heterogeneous multi-core platforms to efficiently cater to their diverse and high computation demands. Over the years, researchers have developed mechanisms to efficiently schedule tasks on homogeneous multi-cores such that all tasks meet their execution and deadline requirements. However, devising an efficient scheduling strategy for real-time tasks on heterogeneous platforms has proved to be a challenging as well as computationally expensive problem. Today, there is a severe dearth of low-overhead techniques towards real-time scheduling on heterogeneous platforms. Hence, we propose an effective low-overhead heuristic approach for scheduling a set of periodic tasks executing on a heterogeneous multi-core platform. Employing the concept of deadline partitioning to obtain a set of discrete time slices, we propose a scheme to efficiently schedule tasks over these time slices while incurring low and bounded number of migrations. Conducted experiments have shown promising results and indicate to the practical efficacy of our approach.","PeriodicalId":119197,"journal":{"name":"2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115251952","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: 6

A Divide and Conquer State Grouping Method for Bitmap Based Transition Compression 基于位图转换压缩的分而治之状态分组方法

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00071

S. Shankar, Pinxing Lin, A. Herkersdorf, Thomas Wild

{"title":"A Divide and Conquer State Grouping Method for Bitmap Based Transition Compression","authors":"S. Shankar, Pinxing Lin, A. Herkersdorf, Thomas Wild","doi":"10.1109/PDCAT.2017.00071","DOIUrl":"https://doi.org/10.1109/PDCAT.2017.00071","url":null,"abstract":"Member State Bitmask Technique (MSBT) is a hardware oriented transition compression technique which can compress the redundant transitions in a finite automaton. While the compressed automaton is stored in on-chip memories; a dedicated hardware accelerator performs signature matching by comparing the network streams against the compressed automaton at line rate. The MSBT consists of three functional steps which include the intra-state transition compression, state grouping and the inter-state transition compression. The state grouping algorithm which is currently used in MSBT is not compression aware and results in sub-optimal transition compression. To address this weakness, a compression aware Divide and Conquer state grouping method is proposed in this paper, which can efficiently group states that improves the transition compression in MSBT. Experimental evaluation of the proposed state grouping method, results in a reduced on-chip memory usage of the order of 10-30%. The reduction in the memory usage allows to accommodate more signatures in on-chip memories and perform signature matching with them at line rate.","PeriodicalId":119197,"journal":{"name":"2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115342022","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

Unconscious Behavior Detection for Pedestrian Safety Based on Gesture Features 基于手势特征的行人安全无意识行为检测

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00016

Yaru Dong, Yidong Li, Wenhua Liu, Jun Wu

{"title":"Unconscious Behavior Detection for Pedestrian Safety Based on Gesture Features","authors":"Yaru Dong, Yidong Li, Wenhua Liu, Jun Wu","doi":"10.1109/PDCAT.2017.00016","DOIUrl":"https://doi.org/10.1109/PDCAT.2017.00016","url":null,"abstract":"Behavior detection is an important research field in pattern recognition and it can be applied to control the traffic safety. The mobile phones becomes a potential security when the pedestrians unconsciously use the phones during the crossing of the street. To avoid the traffic accidents, this paper proposes a new algorithm of the pedestrian behavior detection for the people unconsciously using phones. Firstly, the method that pedestrian detection based on gradient and texture feature integration is used to find the position of pedestrian. Secondly, Selective search is used to get the position of sensitive parts. We choose the arms as the sensitive parts in this algorithm. Finally, we extract and classify sensitive parts. Currently, fewer people are studying this topic. Therefore, we construct a new pedestrian image set that contains 2.5G images called PWUM (Pedestrian Who use mobile phone) set for verifying the effectiveness of our algorithm. Experimental results show that the proposed algorithm can efficiently detect pedestrian who is using mobile phone on PWUM dataset.","PeriodicalId":119197,"journal":{"name":"2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117302626","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

A Java Framework for High Level Parallel Programming Using Powerlists 使用Powerlists进行高级并行编程的Java框架

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00049

Virginia Niculescu, F. Loulergue, Darius Bufnea, Adrian Sterca

引用次数: 6

Dependability Stress Testing of Cloud Infrastructures 云基础设施的可靠性压力测试

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00078

Lena Feinbube, Lukas Pirl, Peter Tröger, A. Polze

{"title":"Dependability Stress Testing of Cloud Infrastructures","authors":"Lena Feinbube, Lukas Pirl, Peter Tröger, A. Polze","doi":"10.1109/PDCAT.2017.00078","DOIUrl":"https://doi.org/10.1109/PDCAT.2017.00078","url":null,"abstract":"Modern distributed systems have reached a level of complexity where software bugs and hardware failures are no longer exceptional, but a permanent operational threat. This holds especially for cloud infrastructures, which need to deliver resources to their customers under well-defined service-level agreements. Dependability need to be assessed carefully. This article presents a structured approach for dependability stress testing in a cloud infrastructure. We automatically determine and inject the maximum amount of simultaneous non-fatal errors in different variations. This puts the existing resiliency mechanisms under heavy load, so that they are tested for their effectiveness in corner cases. The starting point is a failure space dependability model of the system. It includes the notion of fault tolerance dependencies, which encode fault-triggering relations between different software layers. From the model, our deterministic algorithm automatically derives fault injection campaigns that maximize dependability stress. The article demonstrates the feasibility of the approach with an assessment of a fault tolerant OpenStack cloud infrastructure deployment.","PeriodicalId":119197,"journal":{"name":"2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128692729","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

A Hybrid Network Traffic Prediction Model Based on Optimized Neural Network 基于优化神经网络的混合网络流量预测模型

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00053

Hui Tian, Xiaoping Zhou, Jingtian Liu

引用次数: 7

An Intelligent Network Sharing System Design with Multipath TCP 基于多路径TCP的智能网络共享系统设计

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00072

Yu-Ching Lin

引用次数: 0

IBBAS: A Visual Analytics System of Large-Scale Traffic Data for Bus Body Advertising 公交车身广告大规模交通数据可视化分析系统

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00020

Xue Zhang, Yibo Wang, Pin Lv

{"title":"IBBAS: A Visual Analytics System of Large-Scale Traffic Data for Bus Body Advertising","authors":"Xue Zhang, Yibo Wang, Pin Lv","doi":"10.1109/PDCAT.2017.00020","DOIUrl":"https://doi.org/10.1109/PDCAT.2017.00020","url":null,"abstract":"Bus body advertising planners have been plagued for a long time for formulating solutions effectively and comparing different solutions efficiently, because there is no such decision support system. In this study, we attempt to use the state-of-the-art data mining and visualization techniques to solve this problem. Using the traffic data, we design a visual analytics system named IBBAS (Intelligent Bus Body Advertising System). This system can deal with two main challenges of the problem: new brand promotion and target group advertising. First, we propose two algorithms: DivideT and EstimateT. DivideT is used for the bus frequency division and EsitimateT is used for the bus arrival time estimation. Then, based on LDA topic model, we design an optimization algorithm to generate bus body advertising solution based on multiple constraints. Finally, we use the visualization techniques to create a system. There are some functional modules used in the system: the heatmap changing with time displays the passenger flow volume of each bus station; the candidate panel allows users to expediently modify the original solution and forms a tailored solution; the compare panel clearly uncovers the differences among multiple solutions with a flexible ranking tool. This system has been demonstrated using case studies with a real-world dataset. We also collected feedback from domain experts and conducted a preliminary evaluation criteria.","PeriodicalId":119197,"journal":{"name":"2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115949891","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

Applying Data Mining Techniques to Discover KPIs Relationships in Business Process Context 应用数据挖掘技术发现业务流程环境中的kpi关系

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00045

Emna Ammar El Hadj Amour, Sonia Ayachi Ghannouchi

引用次数: 3