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Implementation and Analysis of a Serverless Shared Drive with AWS Lambda

Implementation and Analysis of a Serverless Shared Drive wit...

引用

international conference for convergence of technology (I2CT)

作者： Saloni Gandhi Anuja Gore Sakshi Nimbarte Jibi Abraham College of Engineering Pune India

ISBN: (数字)9781538652329

ISBN: (纸本)9781538652336

Serverless computing is an emerging new paradigm in cloud computing. Serverless denotes a special kind of software architecture in which application logic is executed in an environment without visible processes, operating systems, servers or virtual machines. Serverless enables the deployment of applications and services to the cloud as code snippets or functions as opposed to a monolithic program. While serverless is rapidly evolving, it lacks a standard definition and general consensus within the technical community but has the potential to massively alter the way in which software delivers business value. This work presents the architecture and implementation of a shared drive web application using AWS Lambda. The application is tested to compare the response time for cold and warm requests, effect on load balancing, performance on memory reservation and resource retention behavior. Additionally, the gaps and limitations in current serverless architecture are discussed.

关键词： Computer architecture Videos Servers Containers Cloud computing Databases Logic gates

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Accelerating Multi-Sensor Image Fusion Using Graphics Hardware

Accelerating Multi-Sensor Image Fusion Using Graphics Hardwa...

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international conference on Information technology convergence and Services (ITCS)

作者： SeungHun Yoo JaeIn Hwang Imaging Media Research Center Korea Institute of Science and Technology Seoul South Korea

This paper shows approaches to accelerate pixel-level image fusion speed using graphics hardware. Recently, to improve visibility through maximization of information collected through development of various sensors and improvement of sensing technology, the importance of not only development of new fusion algorithm but speed of fusion process is increasing. Though specialized fusion boards for real time fusion processing are already developed, but they have disadvantages such as expensive price and lack of scalability. These disadvantages can be replaced by GPU (Graphics Processing Unit) that have good price/performance ratio, hardware programmability, enormous computing power and speed. Fifteen fusion methods were used for the tests that give numerical data regarding comparison of GPGPU (general-purpose GPU), CUDA (the latest architecture of GPU) with traditional CPU-based implementations. The evaluation results prove GPU acceleration to be much faster than CPU-based multi-threading.

关键词： Graphics processing unit Image fusion Discrete wavelet transforms Image color analysis Hardware Pixel Graphics

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A study on an efficiency of new exponential Evolutionary Programming

A study on an efficiency of new exponential Evolutionary Pro...

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IEEE international Workshop on Intelligent Data Acquisition and Advanced computing Systems: technology and Applications

作者： Kohei Mukaihara Hirotaka Inoue Advanced Engineering Faculty Kure National College of Technology Kure Hiroshima Japan Department of Electrical Engineeringand Computer Science Kure National College of Technology Kure Hiroshima Japan

In this paper, we investigate performances of Evolutionary Programming (EP) for optimization problems. An individual of EPs has searching optimum points and strategy parameters. The procedures of EP are consists of an initialization, a mutation, an evaluation of the individual and a selection. These processes are repeated while termination conditions are not satisfied. Experimental results show an efficiency of various types of EP.

关键词： Programming convergence Optimization Sociology Statistics Algorithm design and analysis Standards

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A NLVFF-RLS approach to adaptive beamforming for wireless communication

A NLVFF-RLS approach to adaptive beamforming for wireless co...

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international conference on computing, Communication and Networking, ICCCN

作者： K. Meena A.P. Kabilan Department of Electronics and communication PSNACET Dindizul Chettinad college of engineering & technology Karur India

Adaptive antenna system synthesis is presented for wireless communication with reduced interference with the help of non linear variable forgetting factor recursive least squares algorithm(NLVFF-RLS). A case of 8 elements of uniform linear array is considered and operated in the WiMAX frequency of (IEEE802.16e) 2.5 *** signal is modeled as MSK symbols. This approach models the uniform linear array to track the dynamic changes in the angle of arrival and simultaneously steers number of users with minimum half power beam width (HPBW) and maximum directivity. The novel aspect of the proposed (RLS) algorithm is its convergence speed and ability to track several users in the adaptive signal environment. Simulation results shows that the recursive Least squares (RLS) algorithm yields 12 db interference suppression with appreciable convergence rate in 10 iterations in the scanning sector of -50 to + 50. Conventional RLS with constant forgetting factor will not yield the optimal performance in non-stationary environment and the algorithm is simulated in Matlab.

关键词： Array signal processing Wireless communication Resonance light scattering Least squares methods Mathematical model convergence Adaptive systems Adaptive arrays Signal synthesis Interference

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Bio-inspired algorithm for optimizing the localization of wireless sensor Networks

Bio-inspired algorithm for optimizing the localization of wi...

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international conference on computing and Networking technology (ICCNT)

作者： A. Tamizharasi R. Arthi K. Murugan Department of Computer Science Engineering Anna University Chennai India Ramanujan Computing Centre Anna University Chennai India

Wireless Sensor Networks (WSNs) are networks of spatially distributed autonomous nodes used to perform various monitoring tasks. Localization is one of the challenging issues in WSNs. Several approaches have been proposed to calculate positions of randomly deployed sensor nodes. In this paper, an attempt is made to optimize the location of the sensor nodes. A new hybrid Bio-inspired algorithm is used to improve the efficiency and accuracy and overcome the drawbacks like getting trapped at a local extreme in the optimization process of Bacterial Foraging Algorithm. In the proposed algorithm the idea of Particle swarm optimization is merged into the chemotaxis of bacterial foraging optimization algorithm which can effectively speed up the convergence rate and the elimination probability in elimination-dispersion is proposed according to the energy of bacteria which can improve the global searching ability.

关键词： Microorganisms Wireless sensor networks Optimization Particle swarm optimization Algorithm design and analysis Accuracy convergence

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The convergence of Digital Twin technology and Personal Healthcare

The Convergence of Digital Twin Technology and Personal Heal...

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Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed computing (SNPD-Winter), ACIS international Winter conference on

作者： Yeong-Tae Song Dept. of Computer and Information Sciences Towson University USA

The concept of Digital Twin (DT) has now been applied to various sectors of human society and the trend of using is rapidly growing despite the fact that it requires vast digital infrastructure. Regardless of their physical counterparts, the ultimate goal of using DT is to improve the quality of human life and living environment. Even though, there are numerous application areas such as manufacturing, smart city, supply chain, retail, and healthcare, in this talk, Id like to focus more on healthcare sector starting out by discussing the convergence of the digital twin technologies and application of the technologies on healthcare especially on personal healthcare using IoT, networking technologies, standard based medical data, cybersecurity, and cloud computing. With such effort, DT will lead us to personalized precision medicine with less medical errors and the improvement of personal health.

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Enhanced Monarch Butterfly Optimization Algorithm with Rank-Based Selection and Random Jump Strategy for Constrained Engineering Problems

Enhanced Monarch Butterfly Optimization Algorithm with Rank-...

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international conference on Circuit, Power and computing Technologies (ICCPCT)

作者： Panimalar Kathiroli Kanmani. S Department of Data Science and Business Systems Faculty of Engineering and Technology SRM Institute of science and technology Chennai Department of Information Technology Puducherry Technological University Puducherry

Nature-inspired algorithms have become increasingly prevalent in engineering and mathematical optimization due to their efficacy and adaptability. Among these algorithms, the Monarch Butterfly Optimization Algorithm (MBOA) is a population-based metaheuristic, characterized by its simple implementation and the utilization of the Migration Operator (MO) and Butterfly Adjusting Rate (BAR) to guide the search path of butterflies. However, the algorithm can suffer from susceptibility to local optima traps, early convergence, and inferior performance due to a lack of random factors. To address these challenges, we propose an Enhanced Monarch Butterfly Optimization Algorithm (E-MBOA) that incorporates Ranking-based Selection (RBS) and a Random Jumping strategy. The RBS prioritizes the search direction based on individuals' ranks in the population, enhancing the search process by encouraging the exploration of feasible areas with lower objective function values. By employing the Random Jumping strategy, the process can effectively investigate the search space and avoid local optima, thus mitigating early convergence issues. The proposed model is assessed on a variety of mechanical and engineering design problems. Results are contrasted to other optimization approaches published in the literature, demonstrating that the proposed model offers faster convergence to global optima and effectively avoids local optima traps. E-MBOA's performance validates its feasibility and effectiveness as a powerful tool for resolving complex engineering optimization problems.

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Opinion Metric based Intrusion Detection Mechanism forRPL Protocol in IoT

Opinion Metric based Intrusion Detection Mechanism forRPL Pr...

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international conference for convergence in technology

作者： Ashwini Nikam Dayanand Ambawade Electronics and Telecom Dept. Sardar Patel Institute of Technology Mumbai India Electronics and Telecom Dept. Sardar Patel Institute of Technology Mumbai 400058 India

The Internet of Things (IoT) is a network of smart tiny devices which are restricted by processing power and energy consumption. Because of these restriction, it is difficult to use some existing security mechanisms to protect devices against network attacks. Implementation of the Intrusion Detection System (IDS) results in secure IoT network but requires more computing and processing power. In this research, we proposed the lightweight opinion metric based intrusion detection mechanism against malicious attacks on routing protocol in IoT network This mechanism uses opinion metrics to compute average belief values for every node in network and detect the malicious node based on that value in energy favorable way. The simulation results interpret the quality performance in detection of harmful attack in IoT network.

关键词： IoT IDS RPL DODAG Sybil DoS Contiki/Cooja

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A Dynamic Description Logic-Based Formalism for RBAC

A Dynamic Description Logic-Based Formalism for RBAC

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international conference on Computer Sciences and convergence Information technology (ICCIT)

作者： Li Ma Shilong Ma Jianghua Lv Yuefei Sui Department of Computer Science Beihang University Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)9781424452446

Applications in the open and dynamic environment become more intelligent and complicated. To secure these applications is a big challenge. RBAC model, as a de facto standard in access control field, is widely used in many applications. But the lack of dynamic and formal method to describe RBAC makes the model can't completely adapt to the open and dynamic environment. To solve this problem, we introduce a three level RBAC model which unifies the administrative components, the administrative actions and the regular RBAC components, and also proposes a dynamic description logic, called DDL RBAC , to formalize the three level model. Based on the formal description of RBAC with DDL RBAC , an executable action decision algorithm to guarantee the dynamic consistency of systems is also presented.

关键词： Logic Access control Authorization Data security Information security Mathematical model Permission Information technology Computer science Laboratories

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An Improved Artificial Bee Colony Algorithm with Multiple Search Strategy 15th

An Improved Artificial Bee Colony Algorithm with Multiple Se...

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15th international conference on Green, Pervasive, and Cloud computing, GPC 2020

作者： Ma, Jun Zhao, Yunlong Nanjing University of Aeronautics and Astronautics NanjingJiangsu China Collaborative Innovation Center of Novel Software Technology and Industrialization NanjingJiangsu China

ISBN: (纸本)9783030642426

Artificial Bee Colony (ABC) has been applied to solve constrained optimization problems such as green wireless communications, path planning and so on. To solve the problem that ABC algorithm is easy to fall into local optimum, this paper proposes an Improved Artificial Bee Colony (IABC) algorithm with multiple search strategy. An opposition-based learning technique is integrated in initialization phase. Then, in order to speed up convergence rate, each employed bee searches for neighbor with adding global information. Furthermore, multiple search strategy is used to balance the exploitation and exploration during the onlooker bee phase. Inspired by Modification Rate (MR), the solution generation method of new bees whose trail have exceed limit is modified to increase disturbance in scout bee phase. Six benchmark functions are used to test the efficiency and stability of the algorithm, and the simulation results show IABC algorithm performs better than ABC algorithm in high dimensional space. © 2020, Springer Nature Switzerland AG.

关键词： Motion planning

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