2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)最新文献_第3页

PRE-Fog: IoT trace based probabilistic resource estimation at Fog PRE-Fog:基于物联网跟踪的概率资源估计

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444724

Mohammad Aazam, M. St-Hilaire, Chung-Horng Lung, I. Lambadaris

{"title":"PRE-Fog: IoT trace based probabilistic resource estimation at Fog","authors":"Mohammad Aazam, M. St-Hilaire, Chung-Horng Lung, I. Lambadaris","doi":"10.1109/CCNC.2016.7444724","DOIUrl":"https://doi.org/10.1109/CCNC.2016.7444724","url":null,"abstract":"Lately, pervasive and ubiquitous computing services have been under focus of not only the research community, but developers as well. Different devices generate different types of data with different frequencies. Emergency, healthcare, and latency sensitive services require real-time responses. Also, it is necessary to decide what type of data has to be uploaded to the cloud, without burdening the core network and the cloud. For this purpose, the cloud on the edge of the network, known as Fog or Micro Datacenter (MDC), plays an important role. Fog resides between the underlying Internet of Things (IoTs) and the mega datacenter cloud. Its purpose is to manage resources, perform data filtration, preprocessing, and security measures. To achieve this, Fog requires an effective and efficient resource management framework, which we propose in this paper. Fog has to deal with mobile nodes and IoTs, which involves objects and devices of different types having a fluctuating connectivity behavior. All such types of service customers have an unpredictable relinquish probability, since any object or device can stop using resources at any moment. In our proposed methodology for resource estimation and management through Fog computing, we take into account these factors and formulate resource management on the basis of fluctuating relinquish probability of the customer, service type, service price, and variance of the relinquish probability. With the intent of showing practical implications of our method, we implemented it on Crawdad real trace and Amazon EC2 pricing. Based on various services, differentiated through Amazon's price plans and historical record of Cloud Service Customers (CSCs), the model determines the amount of resources to be allocated. More loyal CSCs get better services, while for the contrary case, the provider reserves resources cautiously.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"50 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120900580","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: 62

On the anonymity of privacy-preserving many-to-many communication in the presence of node churn and attacks 存在节点流失和攻击情况下保密性多对多通信的匿名性研究

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444871

Jörg Daubert, Tim Grube, M. Mühlhäuser, Mathias Fischer

引用次数: 0

Inferring network infrastructural behaviour during disasters 在灾难期间推断网络基础设施的行为

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444855

Z. Gilani, A. Sathiaseelan, J. Crowcroft, V. Pejović

引用次数: 4

A novel storage covert channel on wearable devices using status bar notifications 在可穿戴设备上使用状态栏通知的新型存储隐蔽通道

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444898

K. Denney, A. S. Uluagac, K. Akkaya, S. Bhansali

引用次数: 14

Power scheduling in privacy enhanced microgrid networks with renewables and storage 可再生能源和存储增强微电网隐私的电力调度

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444814

Arif Önder Isikman, Cankal Altun, S. Uludag, B. Tavlı

{"title":"Power scheduling in privacy enhanced microgrid networks with renewables and storage","authors":"Arif Önder Isikman, Cankal Altun, S. Uludag, B. Tavlı","doi":"10.1109/CCNC.2016.7444814","DOIUrl":"https://doi.org/10.1109/CCNC.2016.7444814","url":null,"abstract":"As many countries embark on a major transitioning to the Smart Grid (SG), realizing the benefits of the new paradigm depends on generation, collection, and usage of unprecedented amount of data. With such proliferated data processing, there are legitimate concerns that call for sound privacy measures to ensure proper safekeeping. A significant portion of the potential benefits of the SG initiative, thus, relies on devising convincing mechanisms to strengthen the privacy. As a new distribution subsystem, microgrids are expected to play a crucial role in the SG. In this paper, we develop a privacy-aware microgrid power scheduling formulation with renewable sources and energy storage where five different classes of appliances are prioritized by smart meters. Our analysis shows that there is a tradeoff between maximizing the power usage and privacy levels. Hence, it is not possible to find a solution that maximizes both objectives simultaneously. However, it is possible to achieve significantly higher levels of privacy preservation with moderate sacrifice from the power usage, especially when the number of users is high.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132517163","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

Product rating prediction using trust relationships in social networks 基于社交网络信任关系的产品评级预测

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444742

A. Davoudi, M. Chatterjee

引用次数: 11

Coexistence of IEEE 802.11n and licensed-assisted access devices using listen-before-talk techniques IEEE 802.11n和使用先听后说技术的许可辅助接入设备共存

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444841

C. Casetti

引用次数: 10

Hierarchy-based monitoring of Vehicular Delay-Tolerant Networks 基于层次的车辆容忍延迟网络监控

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444821

E. Salvador, D. Macedo, J. Nogueira, Virgil Del Duca Almeida, L. Granville

引用次数: 10

Fair and Delay Adaptive Scheduler (FDAS) preliminary modeling and optimization 公平与延迟自适应调度(FDAS)的初步建模与优化

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444856

Abdelwahab M. Elnaka, Q. Mahmoud, Xining Li

{"title":"Fair and Delay Adaptive Scheduler (FDAS) preliminary modeling and optimization","authors":"Abdelwahab M. Elnaka, Q. Mahmoud, Xining Li","doi":"10.1109/CCNC.2016.7444856","DOIUrl":"https://doi.org/10.1109/CCNC.2016.7444856","url":null,"abstract":"Fair and Delay Adaptive Scheduler (FDAS) is a scheduling mechanism that dynamically adapts to the incoming traffic flows' requirements in term of bandwidth allocation, delay bounds and packet loss restrictions. It performs this utilizing both virtual finish time fluid scheduling along with schedulability and delay sensitive scheduling. The former ensures that the flows receive a fair share of the available output throughput while the later ensures that time critical flows that are about to expire will receive preferential treatment when needed to avoid getting garbled and dropped when possible. FDAS tries to maximize the satisfaction as perceived by incoming traffic flows through balancing between bandwidth fairness and delay bound accommodation. FDAS acts as a hybrid scheduler that tries to overcome fairness allocation problems due to preferential treatment for the soon-to-expire packets which happens in Earliest Deadline First (EDF) schedulers. Meanwhile, it tries to minimize the number of packets that violate their deadlines for transmission and get garbled accordingly that happens on Weighted Fair Queuing (WFQ) and its derivatives. In this paper, we try to answer the question of how many of the flows and how much of their traffic can be accommodated in terms of delay bound and throughput requirements given the incoming mixture of traffic with diverse QoS requirements. FDAS preliminary modeling and optimization is discussed in this paper to answer the above question in a manner that maximizes the overall performance satisfaction as perceived by incoming flows taking into consideration traffic priorities, if any.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128043982","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

Developing WebRTC-based team apps with a cross-platform mobile framework 使用跨平台移动框架开发基于webbrtc的团队应用程序

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444762

Kundan Singh, J. Buford

引用次数: 9