2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)最新文献

GPU-Accelerated Nick Local Image Thresholding Algorithm gpu加速Nick局部图像阈值算法

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.78

M. Najafi, Anirudh Murali, D. Lilja, J. Sartori

引用次数: 4

Finding High-Level Topics and Tweet Labeling Using Topic Models 使用主题模型查找高级主题和Tweet标签

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.38

Sameendra Samarawickrama, S. Karunasekera, A. Harwood

引用次数: 3

Unobtrusive Posture Recognition via Online Learning of Multi-dimensional RFID Received Signal Strength 基于多维RFID接收信号强度在线学习的姿态识别

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.23

Lina Yao, Quan Z. Sheng, Wenjie Ruan, Xue Li, Sen Wang, Zhi Yang

{"title":"Unobtrusive Posture Recognition via Online Learning of Multi-dimensional RFID Received Signal Strength","authors":"Lina Yao, Quan Z. Sheng, Wenjie Ruan, Xue Li, Sen Wang, Zhi Yang","doi":"10.1109/ICPADS.2015.23","DOIUrl":"https://doi.org/10.1109/ICPADS.2015.23","url":null,"abstract":"Activity recognition is a core component of ubiquitous computing applications (e.g., fall detection of elder people) since many of such applications require an intelligent environment to infer what a person is doing or attempting to do. Unfortunately, the success of existing approaches on activity recognition relies heavily on people's involvement such as wearing battery-powered sensors, which might not be practical in real-world situations (e.g., people may forget to wear sensors). In this paper, we propose a device-free, real-time posture recognition technique using an array of pure passive RFID tags. In particular, posture recognition is treated as a machine learning problem where a series of probabilistic model is built via learning how the Received Signal Strength Indicator (RSSI) from the tag array is distributed when a person performs different postures. We also design a segmentation algorithm to divide the continuous, multidimensional RSSI data stream into a set of individual segments by analyzing the shape of the RSSI data. Our approach for posture recognition eliminates the need for the monitored subjects to wear any devices. To the best of our knowledge, this work is the first on device-free posture recognition using low cost, unobtrusive RFID technology. Our experimental studies demonstrate the feasibility of the proposed approach for posture recognition.","PeriodicalId":231517,"journal":{"name":"2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115199704","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

Traffic Offloading with Mobility in LTE HeNB Networks LTE HeNB网络中具有移动性的流量分流

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.108

Pei-Chen Qiu, Whai-En Chen, Jehn-Ruey Jiang

{"title":"Traffic Offloading with Mobility in LTE HeNB Networks","authors":"Pei-Chen Qiu, Whai-En Chen, Jehn-Ruey Jiang","doi":"10.1109/ICPADS.2015.108","DOIUrl":"https://doi.org/10.1109/ICPADS.2015.108","url":null,"abstract":"In these years, the traffic is rapidly increasing in mobile communication networks. The increasing traffic seriously consumes the bandwidth of the core network. The 3GPP proposes a series of traffic offloading solutions in the Long Term Evolution-Advanced (LTE-A) system in which part of traffic from the core network is migrated to the Internet. Two traffic offloading methods are designed for the Home eNodeB (HeNB) networks: (1) Local IP Access (LIPA), which provides User Equipments (UEs) with the ability to communicate with other objects (e.g., UEs and servers) located in the same local HeNB network via HeNB without accessing the core network, and (2) Selected IP Traffic Offload at Local Network (SIPTO@LN), which provides UEs with the ability to connect to the Internet via HeNB without going to the core network. Several studies tried to improve 3GPP traffic offloading methods; however, those methods have no or little support of mobility. In this paper, we propose two methods to offload the traffic in Local HeNB Network (LHN) with better mobility support than existing methods. The first method, Local Access Traffic Offload (LATO), enhances the LIPA function by providing UEs with the ability to hand over into and out of the LHN. The second method, Global Access Traffic Offload (GATO), enhances the SIPTO function by providing UEs with the ability to hand over between the LHNs.","PeriodicalId":231517,"journal":{"name":"2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)","volume":"403 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115249940","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

Learning Resource Management Specifications in Smartphones 智能手机中的学习资源管理规范

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.21

Yanrong Kang, Xin Miao, Haoxiang Liu, Q. Ma, Kebin Liu, Yunhao Liu

引用次数: 3

Adaptive Path Profiling Using Arithmetic Coding 使用算术编码的自适应路径分析

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.29

Gonglong Chen, Wei Dong

引用次数: 2

A Framework for Modeling and Assessing Security of the Internet of Things 物联网安全建模与评估框架

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.102

Mengmeng Ge, Dong Seong Kim

引用次数: 26

EasiCrawl: A Sleep-Aware Schedule Method for Crawling IoT Sensors EasiCrawl:用于爬行物联网传感器的睡眠感知调度方法

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.27

Meng Li, H. Chen, Xi Huang, Li Cui

{"title":"EasiCrawl: A Sleep-Aware Schedule Method for Crawling IoT Sensors","authors":"Meng Li, H. Chen, Xi Huang, Li Cui","doi":"10.1109/ICPADS.2015.27","DOIUrl":"https://doi.org/10.1109/ICPADS.2015.27","url":null,"abstract":"With rapid development of smart hardwares and networking protocols, more and more IoT sensors are becoming publicly accessible through the Internet. Many semantic enhanced IoT sensors store the captured events in their description files, making the build of a generic IoT search engine possible. Crawling the events captured by these sensors is a fundamental step towards building this IoT search engine. However, this step faces a challenge due to sensors' sleep behavior and limited energy supply. Using traditional web access strategy for IoT application may cause unpredictable latency in receiving events with low power efficiency. In this paper, firstly the issue how to crawl newly captured events from periodically sleeping sensors is formulated as a schedule problem, which can be solved by constrained optimization. We take expected latency as the optimization object, as this indicates whether the wanted events can be gathered by crawlers in time. Then a sleep-aware schedule method, named EasiCrawl, is proposed for achieving near-optimal expected latency in receiving events. Finally, EasiCrawl is evaluated by simulations and a case study with real-world data from Xively. The simulation results show that EasiCrawl has lower latency than the periodic and greedy crawl strategy.","PeriodicalId":231517,"journal":{"name":"2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128022243","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: 5

Implementation of an Accurate and Efficient Compensated DGEMM for 64-bit ARMv8 Multi-Core Processors 在64位ARMv8多核处理器上实现精确高效的补偿DGEMM

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.68

Hao Jiang, Feng Wang, Kuan Li, Canqun Yang, Kejia Zhao, Chun Huang

引用次数: 4

Electricity Cost Minimization in Distributed Clouds by Exploring Heterogeneity of Cloud Resources and User Demands 通过探索云资源和用户需求的异构性来实现分布式云中的电力成本最小化

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.56

Zichuan Xu, W. Liang, Qiufen Xia

{"title":"Electricity Cost Minimization in Distributed Clouds by Exploring Heterogeneity of Cloud Resources and User Demands","authors":"Zichuan Xu, W. Liang, Qiufen Xia","doi":"10.1109/ICPADS.2015.56","DOIUrl":"https://doi.org/10.1109/ICPADS.2015.56","url":null,"abstract":"Distributed clouds, consisting of multiple data centers located at different geographical locations, provide a plethora of services to users. They however consume enormous amounts of electricity to power their data centers. The electricity bill is almost 30%-50% of their operational costs. Minimizing the electricity cost of distributed clouds thus is crucial to reduce the operational cost of their cloud service providers. In this paper, we study the problem of minimizing the electricity cost of a distributed cloud, by exploring the heterogeneities of cloud resources and user demands, and time-varying electricity prices, for which we first propose a two-stage optimization framework: dispatching user task requests to different data centers by incorporating the resource demands of the task requests, the workload, and the electricity price in each data center, and energy consumption profiles of different servers in each data center; followed by further energy optimization within each data center through consolidating Virtual Machines (VMs) to different servers to improve the resource utilization ratio. One critical constraint on such task dispatch and VM consolidation is to meet various user Service Level Agreements (SLAs), which include average task scheduling delays and resource demand violation limitations. Under the proposed framework, we then devise efficient scheduling algorithms for task dispatching and VM consolidations, while keeping both the average scheduling delay and resource demand violation limitation of each admitted task met. We finally evaluate the performance of the proposed algorithms through experimental simulations, using real data sets - the real electricity prices and task traces. Experimental simulation results demonstrate that the proposed algorithms are promising.","PeriodicalId":231517,"journal":{"name":"2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122541432","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: 10