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Enhancing Middleware-based IoT Applications through Run-Time Pluggable QoS Management Mechanisms. Application to a oneM2M compliant IoT Middleware 9th

Enhancing Middleware-based IoT Applications through Run-Time...

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9th international conference on Ambient Systems, Networks and Technologies (ANT) / 8th international conference on Sustainable Energy Information Technology (SEIT)

作者： Ouedraogo, Clovis Anicet Medjiah, Samir Chassot, Christophe Drira, Khalil CNRS LAAS 7 Ave Colonel Roche F-31400 Toulouse France Univ Toulouse UPS F-31400 Toulouse France Univ Toulouse INSA LAAS F-31400 Toulouse France

In the recent years, telecom and computer networks have witnessed new concepts and technologies through Network Function Virtualization (NFV) and Software-Defined networking (SDN). SDN, which allows applications to have a control over the network, and NFV, which allows deploying network functions in virtualized environments, are two paradigms that are increasingly used for the Internet of things (IoT). this Internet (IoT) brings the promise to interconnect billions of devices in the next few years rises several scientific challenges in particular those of the satisfaction of the quality of service (QoS) required by the IoT applications. In order to address this problem, we have identified two bottlenecks with respect to the QoS: the traversed networks and the intermediate entities that allows the application to interact with the IoT devices. In this paper, we first present an innovative vision of a "network function" with respect to their deployment and runtime environment. then, we describe our general approach of a solution that consists in the dynamic, autonomous, and seamless deployment of QoS management mechanisms. We also describe the requirements for the implementation of such approach. Finally, we present a redirection mechanism, implemented as a network function, allowing the seamless control of the data path of a given middleware traffic. this mechanism is assessed through a use case related to vehicular transportation. (C) 2018 the Authors. Published by Elsevier B.V.

关键词： Internet of things QoS Middleware Modular Framework Dynamic Deployment Network Function Autonomic computing

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RTT based probabilistic hop count packet filtering at iaas virtual cloud infrastructure against CHCF and PHCF techniques 8

RTT based probabilistic hop count packet filtering at iaas v...

引用

8th international conference on Communication Systems and Network Technologies, CSNT 2018

作者： Maheshwari, Ritu Rajput, Anil Gupta, Anil Kumar Bhopal M.P. India Department of Mathematics and Computer Science CSA Govt. PG Nodal College Sehore Madhya Pradesh India

ISBN: (纸本)9781538659564

HCF technique that is used to filter out the illegitimate packets from the total number of packets has got certain constraints related to detection rate of, malicious packets. the HCF technique never ensures us about the eradication of IP spoofed packets in correct and complete manner that has been applied at the victim server. Even the Time-To-Live parameters can be Spoofed or forged because of its limited values. there must be some solution for getting accurate values of number of illegitimate packets and almost up to its 100% detection rate. Hence, there comes kaleidoscopic view and lot of scope to enhance this constraint by maximizing the detection rate of malicious packets. VCPHCF-RTT improves the efficiency of the probability based Hop Count Filtering technique using distributed HCF at virtual intermediate nodes and virtual server along with RTT. It lessens down the probability of guessing the RTT and HCF parameter values both at the virtual intermediate routers and at the virtual server by the attackers. the robustness of VCPHCF-RTT has been shown in this paper against CHCF and PHCF techniques. © 2018 IEEE.

关键词： cloud computing computer network security probability Network security round-trip delay Cloud computing detection rate (DR) Packet hop counts Highest common factor HOT CHANNEL FACTOR Virtual Probability packet filter

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A Privacy-Preserving Schema for the Detection and Collaborative Mitigation of DNS Water Torture Attacks in Cloud Infrastructures

A Privacy-Preserving Schema for the Detection and Collaborat...

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IEEE international conference on Cloud networking (CLOUDNET)

作者： Nikos Kostopoulos Adam Pavlidis Marinos Dimolianis Dimitris Kalogeras Vasilis Maglaris Network Management & Optimal Design Laboratory (NETMODE) School of Electrical & Computer Engineering National Technical University of Athens (NTUA) Greece

ISBN: (数字)9781728148328

ISBN: (纸本)9781728148335

this paper presents a privacy-preserving schema between Authoritative and Recursive DNS Servers for the efficient detection and collaborative mitigation of DNS Water Torture attacks in cloud environments. Monitoring data are harvested from the victim premises (Authoritative DNS Server and Data Center switches) to detect anomalies with DNS requester IPs classified as legitimate or suspicious. Subsequently, requests are forwarded or redirected for refined inspection to a filtering mechanism. Mitigation may be offered as a service either on-premises or via cloud scrubbing infrastructures. the proposed schema leverages on probabilistic data structures (Bloom Filters, Count-Min Sketches) and related algorithms (SymSpell) to meet time, space and privacy constraints required by cloud services. Notably, Bloom Filters are employed to map Resource Records of large DNS zones in a memory efficient manner; rapid name lookups are possible with zero false negatives and tolerable false positives. Our approach is tested via a proof of concept setup based on traces generated from publicly available DNS traffic datasets.

关键词： Computer crime IP networks Cloud computing Monitoring Filtering Data structures Collaboration

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User Profile-based Caching in 5G Telco-CDNs

User Profile-based Caching in 5G Telco-CDNs

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IEEE international conference on Cloud networking (CLOUDNET)

作者： Arian Soltani Behzad Akbari Nader Mokari Tarbiat Modares University (TMU) Tehran Iran

ISBN: (数字)9781728148328

ISBN: (纸本)9781728148335

With 5G networks on the horizon, providing immense radio access rate, mobile core networks will face an extremely heavy load to accommodate the users' requests. Employing Content Delivery Networks inside Mobile Networks (Telco-CDNs) is one of the promising solutions to alleviate the extra load and avoid congestion in the mobile core networks. Our goal is to exploit the users' profiles in cache replacement policies in order to improve their Quality of Experience (QoE). By using the information readily available in Mobile Network Operators (MNOs) such as user locations and their content preference, we propose a novel cache replacement strategy incorporating the users' profile information. We evaluate the proposed method compared to de-facto policies. Furthermore, we demonstrate that in scenarios involving moving users, our approach shows better performance with up to 23% more traffic saving relative to traditional methods. Finally, we investigate our method's sensitivity to profile accuracy and demonstrate its capabilities despite possible errors in profile estimations.

关键词： 5G mobile communication Servers Estimation Cloud computing Quality of service Content distribution networks Quality of experience

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Mininet on steroids: exploiting the cloud for Mininet performance

Mininet on steroids: exploiting the cloud for Mininet perfor...

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IEEE international conference on Cloud networking (CLOUDNET)

作者： Giuseppe Di Lena Andrea Tomassilli Damien Saucez Frédéric Giroire thierry Turletti Chidung Lac Orange Labs France Université Côte d’Azur Inria CNRS France

ISBN: (数字)9781728148328

ISBN: (纸本)9781728148335

Networks have become complex systems that combine various concepts, techniques, and technologies. As a consequence, modelling or simulating them is now extremely complicated and researchers massively resort to prototyping techniques. Among other tools, Mininet is the most popular when it comes to evaluate SDN propositions. It allows to emulate SDN networks on a single computer. However, under certain circumstances experiments (e.g., resource intensive ones) may overload the host running Mininet. To tackle this issue, we propose Distrinet, a way to distribute Mininet over multiple hosts. Distrinet uses the same API than Mininet, meaning that it is compatible with Mininet programs. Distrinet is generic and can deploy experiments in Linux clusters or in the Amazon EC2 cloud. thanks to optimization techniques, Distrinet minimizes the number of hosts required to perform an experiment given the capabilities of the hosting infrastructure, meaning that the experiment is run in a single host (as Mininet) if possible. Otherwise, it is automatically deployed on a platform using a minimum amount of resources in a Linux cluster or with a minimum cost in Amazon EC2.

关键词： Cloud computing Linux Optimization Python Network topology Computational modeling Tools

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A Reliability-aware Computation Offloading Solution via UAV-mounted Cloudlets

A Reliability-aware Computation Offloading Solution via UAV-...

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IEEE international conference on Cloud networking (CLOUDNET)

作者： Elie El Haber Hyame Assem Alameddine Chadi Assi Sanaa Sharafeddine

ISBN: (数字)9781728148328

ISBN: (纸本)9781728148335

Multi-access Edge computing (MEC) has enabled low-latency computation offloading for provisioning latency-sensitive 5G services that may also require stringent reliability. Given the growing user demands incurring communication bottleneck in the access network, Unmanned Aerial Vehicles (UAVs) have been proposed to provide edge computation capability, through mounting them by cloudlets, hence, harnessing their various advantages such as flexibility, low-cost, and line of sight communication. However, the introduction of UAV-mounted cloudlets necessitates a novel study of the provisioned reliability while accounting for the high failure rate of UAV-mounted cloudlets, that can be caused by various factors. In this paper, we study the problem of reliability-aware computation offloading in a UAV-enabled MEC system. We aim at maximizing the number of served offloading requests, by optimizing the UAVs' positions, users' task partitioning and assignment, as well as the allocation of radio and computational resources. We formulate the problem as a non-convex mixed-integer program, and due to its complexity, we transform it into an approximate convex program and provide a low-complexity iterative algorithm based on the Successive Convex Approximation (SCA) method. through numerical analysis, we demonstrate the efficiency of our solution, and study the achieved performance gains for various latency and reliability requirements corresponding to different use cases in 5G networks.

关键词： Reliability Task analysis Cloud computing Computational modeling 5G mobile communication Servers Complexity theory

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Network Servers Inbound Traffic Load Balancing Based on Central Decision System Results of research and model testing 8

Network Servers Inbound Traffic Load Balancing Based on Cent...

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8th international conference on Computer Science and Information Technology, CSIT 2018

作者： Radojević, Branko Žagar, Mario Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

ISBN: (纸本)9781538641521

Network Load Balancing (NLB) is essential for efficient operations in distributed computer systems, especially in cloud environments. NLB systems used today usually consist of relatively simple algorithms which in certain circumstances may lead to sub-optimal balancing decisions and uneven load on computer systems that is processing user requests. Implementing improvements to load balancing algorithms by separating control and balancing parts provides a range of new possibilities for implementers. By extending control algorithm inputs so that they can become aware of the status of the entire computer system leads to far better optimization and overall performance. One of the key sources of valuable inputs is the subjective user experience that can be analysed, quantified, and used together with other inputs to create load balancing algorithms that will make better load balancing decisions. A new approach, model and algorithm is presented in this paper alongside with results of conducted tests on a prototype where in two different scenarios measured improvements superseded tenfold previous results and eliminated dropped user requests. © 2018 IEEE.

关键词： distributed computer systems

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Deep AlexNet with Reduced Number of Trainable Parameters for Satellite Image Classification 8

Deep AlexNet with Reduced Number of Trainable Parameters for...

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8th international conference on Advances in computing & Communications (ICACC)

作者： Unnikrishnan, Anju Sowmya, V Soman, K. P. Amrita Vishwa Vidyapeetham Amrita Sch Engn Coimbatore Ctr Computat Engn & Networking CEN Coimbatore Tamil Nadu India

the emergence of machine learning algorithms enhanced the effectiveness of satellite image applications. On account of the high variability in-born in satellite data, a large portion of the present classification proposals are not sensible for handling satellite datasets. In this paper, we assessed profound learning systems in view of Convolutional Neural Networks for the precise order of multispectral remote sensing information. the Normalized Difference Vegetation Index (NDVI) is a solitary parameter for detecting landcover by utilizing the red and near-infrared band (NIR) information of the electromagnetic spectrum. NDVI is used to break down remote detecting images and survey the presence or absence of live green vegetation. the experiment is conducted on new publicaly available SAT-4 dataset, where the classes involved are types of vegetation. As NDVI computation require just two band data, it takes the benefit of both RED and NIR band information to classify diverse land covers. In the present work, the AlexNet architecture with two band information along with the reduced number of filters were trained and high-level features obtained from tested model managed to classify different land cover classes in the dataset. the proposed architecture is compared against the benchmark and results are estimated in terms of accuracy, precision and total number of trainable parameters. the proposed design brings about the aggregate diminishment of trainable parameters, while retaining high accuracy and precision, when compared against the existing architecture, which utilizes four bands. (C) 2018 the Authors. Published by Elsevier B.V.

关键词： Satellite Image Classification Convolutional networks SAT-4 Normalized Difference Vegetation Index Trainable Parameters Land Cover

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UR Rank: Micro-blog User Influence Ranking Algorithm Based on User Relationship 13th

UR Rank: Micro-blog User Influence Ranking Algorithm Based o...

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13th European-Alliance-for-Innovation (EAI) international conference on Collaborative computing - networking, Applications and Worksharing (CollaborateCom)

作者： Yao, Wenbin Yang, Yiwei Wang, Dongbin Beijing Univ Posts & Telecommun Beijing Key Lab Intelligent Telecommun Software & Beijing Peoples R China Beijing Univ Posts & Telecommun Natl Engn Lab Mobile Network Secur Beijing Peoples R China Beijing Univ Posts & Telecommun Minist Educ Trustworthy Distributed Comp & Serv Key Lab Beijing Peoples R China

ISBN: (纸本)9783030009168;9783030009151

In this paper, a novel UR Rank (User Relationships based Ranking) algorithm is proposed for ranking the influence of the user. We first explore five factors that affect user relationship. they are following rate (FR) factor, activity (ACT) factor, authority (ATR) factor, interaction (ITA) factor and similarity (SML) factor. then those factors are used in Support Vector Regression (SVR) model to predict the relationship between users. We assimilate such predicted relationship into a PageRank based transition probability to identify influential users. the experiments on a real micro-blog data set demonstrate that UR Rank algorithm has better performance and is more persuasive than the existing algorithms.

关键词： Micro-blog User influence Support vector regression PageRank

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RSU-driven Cloud Construction and Management Mechanism in VANETs

RSU-driven Cloud Construction and Management Mechanism in VA...

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IEEE international conference on Cloud networking (CLOUDNET)

作者： Yoonhyeong Lee Hyunseok Choi Youngju Nam Sungjin Park Euisin Lee School of Information & Communication Engineering Chungbuk National University Cheongju Republic of Korea

ISBN: (数字)9781728148328

ISBN: (纸本)9781728148335

Recently, Vehicular Ad hoc Networks (VANETs) introduce a Vehicular Cloud (VC) model for collaborating to share and use resources of vehicles to create value-added services. To construct a VC, a vehicle should search vehicles that intend to provide their own resource. the single-hop search cannot search enough provider vehicles due to a small coverage and out-of-sight-zone of communications. On the other hand, the multi-hop search causes very high traffics for large coverage searching and frequent connection breakages. Recently, many Roadside Units (RSUs) have been deployed on roads to collect the information of vehicles in their own coverages and connect them to Internet. thus, we propose a RSU-aided vehicular resource search and cloud construction mechanism in VANETS. In the proposed mechanism, a RSU selects provider vehicles enabled to provide resources needed for constructing a VC based on the information of location and mobility of vehicles. In the proposed mechanism, the criteria for determining provider vehicles are the connection duration between each candidate vehicle and the requester vehicle, the resource size of each candidate vehicle, and its connection starting time to the requester vehicle. Simulation results verify that the proposed mechanism achieves better performance than the existing mechanism.

关键词： Cloud computing Trajectory Vehicular ad hoc networks Roads Simulation Spread spectrum communication Reliability

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