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Microscheduling and Randomization Strategies in distributed and Cloud computing 3

Microscheduling and Randomization Strategies in Distributed ...

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3rd international Science and Technology conference "Modern Network Technologies 2020", MoNeTeC 2020

作者： Toporkov, Victor Yemelyanov, Dmitry National Research University MPEI Computer Science Department Moscow Russia

ISBN: (纸本)9781728182681

In this work, we study heuristic and randomized approaches for parallel jobs execution in high performance computing environments with heterogeneous resources. Traditional process of a job-flow scheduling implies many requirements for jobs execution criteria and priority and, thus, usually cannot be changed. However, special microscheduling heuristics may be used in such scenarios as a secondary optimization based on the primary scheduling procedure. Coordinated and randomized microscheduling approaches simulate different strategies for the whole job queue scheduling in order to select the most resource-efficient scenarios. Based on a conservative backfilling scheduling procedure we study how different resources allocation heuristics affect integral job-flow scheduling characteristics in a dedicated simulation environment. © 2020 ieee.

关键词： Job shop scheduling

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Edge-to-Edge Resource Discovery using Metadata Replication 3

Edge-to-Edge Resource Discovery using Metadata Replication

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3rd ieee international conference on Fog and Edge computing (ICFEC)

作者： Murturi, Ilir Avasalcai, Cosmin Tsigkanos, Christos Dustdar, Schahram TU Wien Distributed Syst Grp Vienna Austria

ISBN: (纸本)9781728123653

Edge computing has been recently introduced as an intermediary between Internet of Things (IoT) deployments and the cloud, providing data or control facilities to participating IoT devices. This includes actively supporting IoT resource discovery, something particularly pertinent when building large-scale, distributed and heterogeneous IoT systems. Moreover, edge devices supporting resource discovery are required to meet the stringent requirements prevalent in IoT systems including high availability, low-latency, and privacy. To this end, we present a resource discovery platform for IoT resources situated at the edge of the network. Our approach aims at providing a seamless discovery process that is able to (i) extend the covered area by deploying additional edge nodes and (ii) assist in the development of new IoT applications that target already available resources. Within our proposed platform, devices located in a certain proximity connect and form an edge-to-edge network that we call an edge neighborhood - our edge-to-edge metadata replication platform enables participating devices to discover available resources. Our solution is characterized by absence of centralization, as edge nodes exchange metadata about available resources within their scope in a peer-to-peer manner.

关键词： Edge computing Internet of Things Resource Discovery

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Improving the accuracy of the autonomous mobile robot localization systems based on the multiple sensor fusion methods 3

Improving the accuracy of the autonomous mobile robot locali...

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3rd international conference on Recent Advances in Signal Processing, Telecommunications and computing (ieee SigTelCom)

作者： Lan Anh Nguyen Pham Trung Dung Trung Dung Ngo Xuan Tung Truong Le Quy Don Tech Univ Fac Control Engn Hanoi Vietnam Univ Prince Edward Isl Sch Sustainable Design Engn More Than One Robot Lab Charlottetown PE Canada

ISBN: (纸本)9781538679630

Localization system plays an important role in navigation frameworks of autonomous mobile robots. Because, it provides significant information for the remainder systems of the navigation frameworks. Recently, to improve the accuracy of the robot pose estimation system in dynamic environments, the mobile robots are equipped with a variety of sensors, such as wheel encoders, a global positioning system (GPS) sensor, and an inertial measurement unit (IMU) sensor. In this paper, we propose an improved localization system for autonomous mobile robots using multiple sensor fusion techniques. To accomplish that, an extended Kalman filter (EKF) algorithm is utilized to fuse the data from the wheel encoders, GPS and IMU sensors. The simulation results show that, our proposed localization system is able to provide higher accuracy of estimating mobile robot's pose than conventional systems.

关键词： Autonomous mobile robots localization system navigation system sensor fusion techniques

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Detection of mischievous node in wireless ad-hoc sensor networks using HCBS routing protocol 3

Detection of mischievous node in wireless ad-hoc sensor netw...

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3rd international conference on Intelligent Sustainable systems, ICISS 2020

作者： Hariharan, U. Rajkumar, K. Akilan, T. Galgotias College of Engineering and Technology Information Technology Greater Noida India Galgotias College of Engineering and Technology Computer Science and Engineering Greater Noida India

ISBN: (纸本)9781728170893

Wireless, each unit can go anyplace with no infrastructure additionally, the info could be taken care of continuously for routing the visitors. The wireless Ad-hoc system's receptive problems picked the forwarding attacks, which is dropped by a malicious node to corrupt the system efficiency, subsequently the info integrity visibility. The goal of the issue in the pre-existing techniques of Ad-hoc networks for malicious node detection can't guarantee traceability on the node and the fairness of node detection. With this paper, the suggested heterogeneous cluster-based secure dependent, protected routing system supplies loyalty dependent network that is secure for detection of attacks, including black hole and wormhole brought on by malicious node's existence in wireless Ad-hoc community. The simulation effect implies that the suggested framework identifies the malicious nodes efficiently within Ad-hoc wireless networks. The malicious node detection effectiveness could attain 96 % likewise electricity ingestion additionally 10 % much better than the current approach. © 2020 ieee.

关键词： Energy utilization

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FSR sensor based Embedded system to detect imbalance in Autistic children 3

FSR Sensor based Embedded system to detect imbalance in Auti...

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3rd international conference on Smart systems and Inventive Technology, ICSSIT 2020

作者： Vijayaraghavan, Saahithyaa Kumar, Rishab Sibi, D.P. Devaraj, Ashokkumar Karthik, Varshini SRM Institute of Science and Technology Department of Biomedical Engineering Kattankulathur Chengalpattu India

ISBN: (纸本)9781728158211

Autism Spectrum Disorder is a serious developmental disorder that impairs the ability to communicate and interact. It impacts the nervous system and affects the overall cognitive, emotional, social and physical health of the affected individual. There is a lack of evidence-based estimate of the population prevalence of ASD in India but according to certain statistics, there is a prevalence of about 0.23% of the total population. Autism causes postural difficulties in patients due to which, it isn't possible for them to balance properly. This is a very serious issue that comes with autism. Not being able to maintain a proper posture and being unable to balance oneself properly makes day-to-day activities extremely difficult. The main aim of the study is to design and develop a portable and easy-to-use pressure mat to detect imbalance in autistic children and To measure the pressure applied by different points under the foot and to analyze the improvement of posture balancing abilities of autistic children. The results suggest that the pressure reference to the autistic patient foot is different from normal and there is no stability in the measurements. © 2020 ieee.

关键词： Population statistics

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DCS-MAC: A distributed Cross-Layer Communication Protocol for Directional sensor Networks 33rd

DCS-MAC: A Distributed Cross-Layer Communication Protocol fo...

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33rd international conference on Advanced Information Networking and Applications, AINA-2019

作者： Nagaraju, Shamanth Sreejith, V. Sood, Nipun Gudino, Lucy J. Kasliwal, Mehul Kejriwal, Rajas Department of Computer Science and Information Systems BITS Pilani K. K. Birla Goa Campus Zuarinagar SancoaleGoa India Department of Computer Science and Information Systems BITS Pilani Pilani India

ISBN: (纸本)9783030150310

Employing directional antenna in Wireless sensor Networks (WSNs) constitute Directional sensor Networks (DSNs) which provides potential benefits such as longer coverage range, reduced interference, diminished power requirement and spatial reusability. In this paper, we propose a distributed Cross-layer Sectored-antenna Medium Access Control (DCS-MAC) protocol. The proposed DCS-MAC employ distributed Time Division Multiple Access (TDMA) for MAC and distributed Slow-Scan Routing (DSSR) protocol for routing purpose. The DCS-MAC eliminates the need for an exclusive neighbor discovery protocol as DSSR protocol itself serves this purpose. The performance of DCS-MAC is simulated using the Cooja simulator with directional antenna support. The simulation results reveal that DCS-MAC display reduced slot allocation delay, lower communication overhead and higher packet delivery ratio. © 2020, Springer Nature Switzerland AG.

关键词： Medium access control

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Continuous distributed Key Generation on Blockchain Based on BFT Consensus 3

Continuous Distributed Key Generation on Blockchain Based on...

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3rd international conference on Hot Information-Centric Networking, HotICN 2020

作者： Lei, Lei Ma, Ping Lan, Chunjia Lin, Le Neng Lian Tech Ltd. Shanghai China

ISBN: (纸本)9781728192161

VSS (Verifiable Secret Sharing) protocols are used in a number of block-chain systems, such as Dfinity and Ouroboros to generate unpredicted random number flow, they can be used to determine the proposer list and the voting powers of the voters at each height. To prevent random numbers from being predicted and attackers from corrupting a sufficient number of participants to violate the underlying trust assumptions, updatable VSS protocol in distributed protocols is important. The updatable VSS universal setup is also a hot topic in zkSNARKS protocols such as Sonic [19]. The way that we make it updatable is to execute the share exchange process repeatedly on chain, this process is challenging to be implemented in asynchronous network model, because it involves the wrong shares and the complaints, it requires the participant has the same view towards the qualified key generators, we take this process on chain and rely on BFT consensus mechanism to solve this. The group secret is thus updatable on chain. This is an enhancement to Dfinity. Therefore, even if all the coefficients of the random polynomials of epoch n are leaked, the attacker can use them only in epoch n+2. And the threshold group members of the DKG protocol can be updated along with the updates of the staked accounts and nodes. © 2020 ieee.

关键词： Blockchain

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Multi-sensor data fusion for UAV landing guidance based on bayes estimation 3

Multi-sensor data fusion for UAV landing guidance based on b...

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3rd international conference on Unmanned systems, ICUS 2020

作者： Mingwei, Lv Li, Yifan Hu, Jinwen Zhao, Chunhui Hou, Xiaolei Xu, Zhao Pan, Quan Jia, Caijuan Design and Research Institute AVIC Shen Yang Aircraft Shenyang China Polytechnical University School of Northwestern Xi'an China Xi'An ASN Technology Group CO.LTD Xi'an China

ISBN: (纸本)9781728180250

The safety issues in the UAV landing process have recently attracted widespread attention. This paper proposes a multi-sensor data fusion algorithm based on Bayes estimation to achieve precise positioning during the autonomous landing of the drone. This method uses outlier detection, state estimation, and data fusion to analyze and process measurement data from multiple sensors in real time to obtain the best real-time data during the autonomous landing of the drone. The simulation results show that this algorithm has good accuracy and robustness in solving the landing guidance problem, can initially achieve autonomous landing guidance for drones, and also has important reference value for the future realization of carrier-based aircraft autonomous landing and fighter precise guidance. © 2020 ieee.

关键词： Aircraft detection

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Fault Detection Mechanism of a Predictive Maintenance System Based on Autoregressive Integrated Moving Average Models 16th

Fault Detection Mechanism of a Predictive Maintenance System...

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16th international Symposium on distributed computing and Artificial Intelligence (DCAI)

作者： Fernandes, Marta Canito, Alda Corchado, Juan Manuel Marreiros, Goreti Polytech Porto ISEP IPP GECAD Res Grp Intelligent Engn & Comp Adv Innovat Porto Portugal Univ Salamanca USAL BISITE Res Ctr Salamanca Spain

ISBN: (纸本)9783030238872;9783030238865

The industrial world is amid a revolution, titled Industry 4.0, which entails the use of IoT technologies to enable the exchange of information between sensors, industrial machines and end users. A major issue in many industrial sectors is production inefficiency, with process downtime representing a loss for companies. Predictive maintenance, whereby maintenance is performed only when needed and before a failure occurs, has the potential to substantially reduce costs. This paper describes the fault detection mechanism of a predictive maintenance system developed for the metallurgic industry. Considering no previous information about faults is available, learning happens in an unsupervised manner. Imminent faults are predicted by estimating autoregressive integrated moving average models using real-world sensor data obtained from monitoring different machine components and parameters. The models' outputs are fused to assess the significance of an anomaly (or anomalies) along the time domain and determine how likely a fault is to occur, with alarms being issued when the prospect of a fault is high enough.

关键词： Predictive maintenance Anomaly detection ARIMA models sensor data

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Towards Context-Aware and Dynamic Management of Stream Processing Pipelines for Fog computing 3

Towards Context-Aware and Dynamic Management of Stream Proce...

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3rd ieee international conference on Fog and Edge computing (ICFEC)

作者： Wiener, Patrick Zehnder, Philipp Riemer, Dominik FZI Res Ctr Informat Technol Karlsruhe Germany

ISBN: (纸本)9781728123653

Newly arising IoT-driven use cases often require low-latency analytics to derive time-sensitive actions, where a centralized cloud approach is not applicable. An emerging computing paradigm, referred to as fog computing, shifts the focus away from the central cloud by offloading specific computational parts of analytical stream processing pipelines (SPP) towards the edge of the network, thus leveraging existing resources close to where data is generated. However, in scenarios of mobile edge nodes, the inherent context changes need to be incorporated in the underlying fog cluster management, thus accounting for the dynamics by relocating certain processing elements of these SPP. This paper presents our initial work on a conceptual architecture for context-aware and dynamic management of SPP in the fog. We provide preliminary results, showing the general feasibility of relocating processing elements according to changes in the geolocation.

关键词： fog computing distributed systems context-aware computing stream processing

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