2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)最新文献_第3页

Program Committee ICPADS 2018 ICPADS 2018项目委员会

2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2018-12-01 DOI: 10.1109/padsw.2018.8644940

Cristina Alcaraz

{"title":"Program Committee ICPADS 2018","authors":"Cristina Alcaraz","doi":"10.1109/padsw.2018.8644940","DOIUrl":"https://doi.org/10.1109/padsw.2018.8644940","url":null,"abstract":"Cristina Alcaraz, UMA Mohammed Eunus Ali, Associate Professor lkay Altintas, University of California, San Diego Man Ho Au, Hong Kong Polytechnic University Joonsang Baek, Khalifa University of Science, Technology and Research Pavan Balaji, Argonne National Laboratory Bin Bao, Qualcomm Rajdeep Bhowmik, Cisco Systems, Inc. Rajendra Boppana, UT San Antonio vona Brandic, University Assistant / TU Wien Rajkumar Buyya, The University of Melbourne Rodrigo N. Calheiros, The University of Melbourne Jian Cao, Jiao Tong University, China Umit Catalyurek, The Ohio State University Simon Caton, National College of Ireland David Chadwick, University of Kent Kyle Chard, Computation Institute, University of Chicago and Argonne National Lab Guihai Chen, Shanghai Jiao Tong University Haiming Chen, Institute of Computing Technology, Chinese Academy of Sciences Hanhua Chen, Huazhong University of Science and Technology Jinjun Chen, University of Technology Sydney Tien-Fu Chen, National Chiao Tung University Xiaofeng Chen, Xidian University Bruce Childers, Deparment of Computer Science, University of Pittsburgh Jerry Chou, National TsingHua University Wei Dong, Zhejiang University Wan Du, Nanyang Technological University, Singapore Matt Duckham, University of Melbourne Bernhard Egger, Seoul National University Nickolas Falkner, The University of Adelaide Mathieu Faverge, Bordeaux INP Wu-Chun Feng, Virginia Tech Niroshinie Fernando, Swinburne University Mohamed Gaber, Robert Gordon University Yi Gao, Zhejiang University Rong Ge, Marquette University Roberto Giorgi, University of Siena Kartik Gopalan, Binghamton University Manjunath Gorentla Venkata, Oak Ridge National Laboratory Tao Gu, RMIT University","PeriodicalId":361947,"journal":{"name":"2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122306403","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: 0

A Topological Model for the Blockchain 区块链的拓扑模型

2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2018-12-01 DOI: 10.1109/PADSW.2018.8644904

Giacomo Zanzottera, P. Fragneto, B. Rossi

引用次数: 2

An Efficient Segment Grouping Approach for Active Disk-Based Storage Systems 基于活动磁盘存储系统的一种有效分段分组方法

2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2018-12-01 DOI: 10.1109/PADSW.2018.8644992

Quanqing Xu, Weiya Xi, K. Yang, Chao Jin

{"title":"An Efficient Segment Grouping Approach for Active Disk-Based Storage Systems","authors":"Quanqing Xu, Weiya Xi, K. Yang, Chao Jin","doi":"10.1109/PADSW.2018.8644992","DOIUrl":"https://doi.org/10.1109/PADSW.2018.8644992","url":null,"abstract":"Active storage is an excellent big data storage and analysis platform by exploring storage nodes' computing resources since it especially fits read-intensive operations. Active disks have a similar idea with active storage except utilizing the computing resources embedded in disk drives. Active disk-based storage systems have to evenly distribute data and workload among many storage devices so that we could efficiently use available resources to maximize system performance. We propose an efficient Segment Grouping (SG) approach in this paper. SG is a pseudo-random data distribution approach that is designed for active disk-based storage architecture. It is excellent at load balancing because it utilizes hash functions. Any party can independently compute the location of any data segment. SG efficiently maps segment objects to storage devices using the hash functions, and it only needs a compact and hierarchical description of storage devices in the active disk-based storage system. It only needs knowledge of the segment placement policy, and all the required metadata is little and mostly static. Our experimental results demonstrate that it is efficient and scalable by conducting performance evaluation.","PeriodicalId":361947,"journal":{"name":"2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116203301","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: 0

SRVoice: A Robust Sparse Representation-Based Liveness Detection System SRVoice:基于稀疏表示的鲁棒活体检测系统

2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2018-12-01 DOI: 10.1109/PADSW.2018.8644547

Jiacheng Shang, Si Chen, Jie Wu

引用次数: 9

Conference Organization ICPADS 2018 ICPADS 2018

2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2018-12-01 DOI: 10.1109/padsw.2018.8645032

引用次数: 0

ENSC: Multi-Resource Hybrid Scaling for Elastic Network Service Chain in Clouds 云环境下弹性网络服务链的多资源混合扩展

2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2018-12-01 DOI: 10.1109/PADSW.2018.8644630

Hui-Feng Yu, Jiahai Yang, Carol J. Fung, R. Boutaba, Yi Zhuang

{"title":"ENSC: Multi-Resource Hybrid Scaling for Elastic Network Service Chain in Clouds","authors":"Hui-Feng Yu, Jiahai Yang, Carol J. Fung, R. Boutaba, Yi Zhuang","doi":"10.1109/PADSW.2018.8644630","DOIUrl":"https://doi.org/10.1109/PADSW.2018.8644630","url":null,"abstract":"Software-based network service chains in Network Function Virtualization (NFV) need to be dynamically allocated and scaled on hardware resources. This is because the resource demand of virtual network functions (VNFs) typically varies as a results of network flow volume. NFV elastic solutions by coarse-grained horizontal scaling or fine-grained vertical scaling have been investigated in recent years. However, none of the existing solutions can achieve both efficiency and scalability. To address this challenge, we propose elastic network service chain (ENSC), which utilizes a fine-grained hybrid scaling method to achieve both NFV efficiency and scalability. We systematically compare horizontal scaling with vertical scaling from six aspects and determine the priority within hybrid scaling. We formulate the resource allocation problem in the cloud datacenter as an integer linear programming (ILP) model and develop a heuristic algorithm called Rubik. Our evaluation results show that ENSC achieves higher acceptance ratios and resource utilization than horizontal scaling and vertical scaling methods.","PeriodicalId":361947,"journal":{"name":"2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133837840","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: 14

Provably Efficient Algorithms for VNF Routing Optimization 可证明的VNF路由优化算法

2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2018-12-01 DOI: 10.1109/PADSW.2018.8644953

Shenmin Zhang, Yuxiang Liu, Xiaofeng Gao, Jiaqi Zheng, Guihai Chen

{"title":"Provably Efficient Algorithms for VNF Routing Optimization","authors":"Shenmin Zhang, Yuxiang Liu, Xiaofeng Gao, Jiaqi Zheng, Guihai Chen","doi":"10.1109/PADSW.2018.8644953","DOIUrl":"https://doi.org/10.1109/PADSW.2018.8644953","url":null,"abstract":"Previous researches on (Virtualized Network Function)VNF deployment mainly focus on resource and VNF distribution given several candidate paths, whereas routing, though more practical, is not under consideration. Especially, resource distribution does not remain optimal given continuously coming flows with different characteristics. No quantitative approach is proposed to determine the timing to redistribute resources and functions while real-time adjusting network distribution is too expensive. In this paper, we claim an alternative approach to handle the resource-and-flow matching problem using the method of routing. We find a routing and evaluate its costs using our VNFs Routing Evaluation Model. We prove the NP-hardness of VNF - RE. While previous works focus on heuristic algorithms, whose performance cannot be proven, we propose a two phase approach and prove the approximation ratio. The problem is formulated as an optimization problem which jointly considers VNF covering, multi-resource consumption, and routing overhead. We prove that the problem is NP-hard and our solution 0 ((1 + (kD fmax / $D$ −1)β)) log3 $N$ log m) approximates the optimal where k, Dfrnax and β are variables that depend on the input flow. The simulation compares our work with several representative heuristic algorithms and shows that VNF - RE has better performance.","PeriodicalId":361947,"journal":{"name":"2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124967535","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

Phase Space Based Energy Consumption Model and Optimization Analysis in Clouds 云中基于相空间的能量消耗模型及优化分析

2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2018-12-01 DOI: 10.1109/PADSW.2018.8644922

Meiguang Zheng, Chenglong Chang, Jiao Yang, Yong Tao

引用次数: 0

An Experimental Study on WeChat-Based Large Scale Indoor Localization System 基于微信的大规模室内定位系统实验研究

2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2018-12-01 DOI: 10.1109/PADSW.2018.8644594

Min Gao, Xiao Zhang, Zhang Tao, Ci Chen, Zhou Wang, Zhihao Lu, Wei Ding, Jiang Ouyang

{"title":"An Experimental Study on WeChat-Based Large Scale Indoor Localization System","authors":"Min Gao, Xiao Zhang, Zhang Tao, Ci Chen, Zhou Wang, Zhihao Lu, Wei Ding, Jiang Ouyang","doi":"10.1109/PADSW.2018.8644594","DOIUrl":"https://doi.org/10.1109/PADSW.2018.8644594","url":null,"abstract":"In the new era of wireless communication, there has been an increased interest in indoor positioning systems that propelled researchers to come up with various solutions. Fusing the fuzzy locations from Bluetooth (BT) beacons with the ones from pedestrian dead reckoning (PDR) comes out a promising solution to provide meter-level positioning without additional infrastructure. Despite the remarkable efforts the community put to build the system, it lacks the performance examination of large-scale deployments. In this report, we implement and deploy a real system in Guangzhou South Railway Station to enable a large scale indoor positioning service. The framework used Bluetooth beacons and pedestrian dead reckoning to calculate the estimated position of the user then refine the accuracy through a fuzzy fusion algorithm. We distribute up to 2849 beacons in the indoor space of 81654 square meters. When applied to the real ceiling with a height of 8m and above, our approach is still able to reliably achieve a high accuracy of 5 meters. Also in buildings whose outer walls are nonstructural but large glass curtain wall that wraps around the roof of the facility, the GPS signal could serve as useful complement under careful utilization; last but not least significant, in practice we incorporate our indoor positioning services into WeChat HyperText Markup Language (HTML) platform, we discover that the headings provided by HTML5 are not always correct, the orientation error scale has a strong correlation with the temperature of phone, the residual error is accumulated along with the time to make matters worse.","PeriodicalId":361947,"journal":{"name":"2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116853975","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

Scalability Analysis of Cloud-Based Distributed Simulations of IoT Systems Using HLA 基于HLA的物联网系统云分布式仿真的可扩展性分析

2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2018-12-01 DOI: 10.1109/PADSW.2018.8644925

T. Nägele, J. Hooman

引用次数: 0