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A multi-dimensional trust and reputation calculation model for cloud computing environments

A multi-dimensional trust and reputation calculation model f...

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conference on ISEA Asia Security and Privacy (ISEASP)

作者： Singh, Ashish Chatterjee, Kakali Natl Inst Technol Comp Sci & Engn Patna 800005 Bihar India

ISBN: (纸本)9781509059423

The Cloud computing (CC) is an Internet-based technology which offers a shared pool of highly available, virtualized, dynamically scalable, and configurable computing resources (e. g., networks, servers, computing power, storage, applications, data, services, etc.). In the CC, the authentication as well as trust and reputation of the cloud users and service provider is a critical issue for the security of the cloud. Lots of articles previously present different trust models, but unfortunately, these trust models are not suitable for all cases as the trust is a non-measurable and subjective parameter that differs person to person. The trust involves many multi-dimensional factors such as evidence, reputation, expectations, feedback, history, risk, motivation, session behaviours, and so on. To addresses the abovementioned issues, the paper present a novel multi-dimensional trust and reputation calculation model for the cloud computing, in which we integrate multiple trust factors that increase the novelty of the model. Additionally, we dynamically assign a weight for each trust and reputation factor using the Weighted Moving Average and Ordered Weighted Averaging (WMA-OWA) combination algorithm. The proposed model overcome the issues of the previous existing models. The detail presentation and analysis of the model shows that the model is appropriate and accurate for trust calculation in the cloud.

关键词： Cloud computing Trust and reputation Multi-dimensional trust WMA-OWA weight assignment algorithm

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Computational neuroscience as a service: Porting MIIND to the cloud

Computational neuroscience as a service: Porting MIIND to th...

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2011 3rd IEEE International conference on Cloud computing technology and Science, CloudCom 2011

作者： Gerckens, Björn-Ole Djemame, Karim De Kamps, Marc Faculty of Engineering School of Computing University of Leeds Leeds LS2 9JT United Kingdom

ISBN: (纸本)9780769546223

In this paper, we investigate how cloud computing could benefit computational neuroscience. To that end, Multiple Interacting Instantiations of Neuronal Dynamics (MIIND), a computational neuroscience modelling toolkit, was ported to a private, university-owned cloud. The aim was to pave the way for making MIIND more accessible to non-specialist users in virtue of concealing its implementation context as well as rendering local IT infrastructure unnecessary. For that purpose, a customisable MIIND-based workflow model was encased within a virtualised wrapping apparatus. This served to fully automate running configurable MIIND simulations remotely via a convenient web-interface in a transparent manner with the user being incognisant of the cloud and the service orientated architecture behind it. This architecture can be adopted for any application conforming to the workflow characteristics of MIIND and helps inform the porting process of serial and legacy applications. © 2011 Crown Copyright.

关键词： Cloud computing

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A Novel configurable High-precision and Low-cost Circuit Design of Sigmoid and Tanh Activation Function

A Novel Configurable High-precision and Low-cost Circuit Des...

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2021 IEEE International conference on Integrated Circuits, Technologies and applications, ICTA 2021

作者： Liu, Feng Zhang, Bowen Chen, Gang Gong, Guoliang Lu, Huaxiang Li, Wenchang Chinese Academy of Sciences Institute of Semiconductors Beijing100083 China University of Chinese Academy of Sciences Beijing100089 China Center for Excellence in Brain Science and Intelligence Technology CAS Shanghai200031 China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Lab Beijing100083 China

ISBN: (纸本)9781665417471

This paper proposes a configurable Sigmoid and Tanh activation function circuit design by second-order approximation and deviation compensation. The proposed circuit is synthesized in TSMC 180nm technology within a 7218 um2 area at 500MHz, it is also deployed on Xilinx ZC706 FPGA by 158 LUTs and 46 FFs at 333MHz. It achieves almost 4.68× better precision and 20.2% less area than previous works. The experimental results show that our method has almost no accuracy loss on LSTM Chinese speech recognition tasks and the YOLOv3 image recognition post-processing task. © 2021 IEEE.

关键词： Chemical activation

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Analysis and vulnerability assessment of various models and frameworks in cloud computing

Analysis and vulnerability assessment of various models and ...

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International conference on Data Sciences, Security and applications, ICDSSA 2019

作者： Mishra, Narendra Singh, R.K. Yadav, Sumit Kumar IGDTUW Kashmere Gate New DelhiDelhi110006 India

ISBN: (纸本)9789811503719

Cloud computing is a technology which provides us a convenient way of an on-demand network-based access to available shared pools of pre configurable system resources and higher-level services. The increasing data breaches demand security assurance inside the cloud computing system. In this research work we have studied different types of tools/models available for cloud computing accordingly we proposed a vulnerability assessment framework/process for Cloud computing system based on the Common Vulnerability Scoring System, i.e., CVSS 2.0 or 3.0 which generated or published by the NVD at regular interval. Since the proposed model/process is built with the progressive security automation protocols for Cloud computing, it has the capability of automobilists and interoperability with the other existing applications and models and also has the capabilities to address all the prospective cloud vulnerabilities which are still not identified. The proposed model/process addresses the vulnerability issues on the basis of CVSS which provides the new dimensions for effective handling of unknown vulnerabilities. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Cloud security

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Selection of configurable Computer Module Applied to Home Automation and Interactive Digital Television 10th

Selection of Configurable Computer Module Applied to Home Au...

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10th Iberoamerican conference on applications and Usability of Interactive TV (jAUTI)

作者： Pina Amargos, Joaquin Danilo Valdes Zaldivar, Enrique Ernesto Cruz Hurtado, Juan Carlos Socorro Llanes, Raisa Univ Tecnol La Habana Jose Antonio Echeverria CUJ Havana Cuba

ISBN: (纸本)9783031222092;9783031222108

Advances in information technologies (IT) are achieving technological convergence in most scenarios of everyday life. However, these advantages are not fully exploited and each application scenario, such as digital television and smart rooms, uses different computing devices that increase dependence on foreign suppliers, increase production or marketing costs and cannot be reused in other similar scenarios, nor to expand their possibilities and lengthen their obsolescence period. This situation is further aggravated in the context of Cuba as a country blocked and besieged by the government of the United States of America. The medical equipment and tourism industries are current examples of these limitations by not being able to buy electronic supplies, seeing their commercialization limited or not being able to offer a greater convenience of infommunication services to their customers. This article aims to identify a computing module that can be adapted to different scenarios by modular coupling of expansion interfaces to achieve connection with different peripherals (such as: USB, RF input, HDMI output, Ethernet Interface, WiFi and others). The scenarios are presented: digital terrestrial TV decoder in various models and home automation. As a result of technological convergence, software components can be reused to develop human-computer interactivity in various emerging technological scenarios in a continuity of the present work.

关键词： Internet of things Home automation computing module

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A configurable Inter-chip Connection Architecture for Multicore Neuromorphic Chip 4

A Configurable Inter-chip Connection Architecture for Multic...

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4th International conference on Frontiers technology of Information and Computer, ICFTIC 2022

作者： Lin, Bo Wang, Lei Yang, Zhijie Tie, Junbo Zhou, Gan Yu, Xiang National University of Defense Technology Changsha China

ISBN: (纸本)9798350321951

As the spiking neural network model structure becomes more and more complex, the single-chip neuromorphic processor can no longer meet the bandwidth and computing resource requirements of the SNN model and applications, which has become the bottleneck of neuromorphic computing. Besides, the current chip interconnection method does not apply to neuromorphic chips because of the large transmission delay. Therefore, we propose a switch to support multi-chip neuromorphic processor interconnection. Multiple chips are interconnected through the switch, and each core uses routers to connect to intra-chip cores. To evaluate the performance, a 100 MHz FPGA prototype of our inter-chip connection architecture was implemented. The experimental results show that our inter-chip connection architecture can reduce the latency of data packet transmission by 1.5× compared with the previous work. © 2022 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Hardware -Efficient FPGA-Based. Approximate Multipliers for Error -Tolerant computing 21

Hardware -Efficient FPGA-Based. Approximate Multipliers for ...

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21st International conference on Field-Programmable technology (ICFPT)

作者： Yao, Shangshang Zhang, Liang Natl Univ Def Technol Changsha Peoples R China

ISBN: (数字)9781665453363

ISBN: (纸本)9781665453363

With the increasing demand for data processing, approximate computing is widely used in various fault-tolerant applications such as image processing, computer vision and machine learning. These applications also require a huge number of multiplication operations. In this paper, we are mainly oriented to the softcore approximate multiplier which is implemented on FPGA via encoding the INIT parameter values in the Look-Up Table (LUT) primitives. Three approximate multipliers with associated carry chain are presented in the manner of reducing LUTs from proposed exact multiplier. An approximate multiplier without carry chain is also presented to further reduce the multiplier's critical path delay and power consumption. We also present an accuracy configurable adder to build high -order approximate multipliers for architectural space exploration. The resolution of the state-of-the-art Mean Relative Error Distance (AIRED) and Power -Delay Product (PDP) pareto front is improved and the approximate multiplier we proposed achieves 24.4%, 52.9% and 56.4% reduction in latency, area, and power over the soft multiplier IP core, respectively. Finally, we apply the proposed approximate multiplier design to image processing and convolutional neural networks (CNNs). Compared to advanced approximate multipliers, it offers less energy consumption and area while remaining acceptable qualities. Our designs are open sourced at h ttps://,g,i thu h. corriN aosh an gsh an g96/FPGAbased_approx_mult to assist further reproducing and development.

关键词： Error-Tolerant computing approximate multipliers Image processing

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A Self-configurable Model for Cloud Resource Allocation 11

A Self-Configurable Model for Cloud Resource Allocation

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11th International conference on Computer Engineering and Knowledge, ICCKE 2021

作者： Bazghandi, Ali Shahrood University of Technology Faculty of Computer Engineering and IT Shahrood Iran

ISBN: (纸本)9781665402088

Cloud computing is a technology in which shared resources (networks, servers, storage locations, applications and services) are available through an extensive and dynamic network, and the cloud user can get access to it as quickly as possible and at the lowest cost. Cloud resource management is the process of provisioning, dispatching and monitoring resources. Extensive research has been conducted in the field of resource management, which includes resource provisioning, resource allocation, resource adapting, resource mapping, resource modeling, resource prediction, and resource brokering. Many techniques and architectures have been presented in this field, each of which has its own characteristics. Since the automating of cloud resource management procedures has always been a desirable goal, also it has always been a challenge. Amount of reliability in cloud systems is a success resource management criteria. The occurrence of errors and failures in the cloud systems, in addition to creating legal and financial penalties, is also effective in losing the trust of cloud users. The aim of this research is to achieve an acceptable level of reliability and availability by providing a self-configurable cloud model for resource allocation. © 2021 IEEE.

关键词： Resource allocation

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Cloud computing for Internet of Things & sensing based applications

Cloud computing for Internet of Things & sensing based appli...

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2012 6th International conference on Sensing technology, ICST 2012

作者： Rao, B. B Prahlada Saluia, Paval Sharma, Neetu Mittal, Ankit Sharma, Shivay Veer Centre for Development of Advanced Computing System Software Development Group C-DAC Knowledge Park #1 Old Madras Road Bangalore-560038 India

ISBN: (纸本)9781467322485

Internet of Things (IoT) is a concept that envisions all objects around us as part of internet. IoT coverage is very wide and include variety of objects like smart phones, tablets, digital cameras, sensors, etc. Once all these devices are connected with each other, they enable more and more smart processes and services that support our basic needs, economies, environment and health. Such enormous number of devices connected to internet provides many kinds of services and produce huge amount of data and information. Cloud computing is a model for on-demand access to a shared pool of configurable resources (e.g. compute, networks, servers, storage, applications, services, and software) that can be easily provisioned as Infrastructure (IaaS), software and applications (SaaS). Cloud based platforms help to connect to the things (IaaS) around us so that we can access anything at any time and any place in a user friendly manner using customized portals and in built applications (SaaS). Hence, cloud acts as a front end to access Internet of Things. applications that interact with devices like sensors have special requirements of massive storage to storage big data, huge computation power to enable the real time processing of the data, and high speed network to stream audio or video. In this paper, we describe how Internet of Things and Cloud computing can work together can address the Big Data issues. We also illustrate about Sensing as a service on cloud using few applications like Augmented Reality, Agriculture and Environment monitoring. Finally, we also propose a prototype model for providing sensing as a service on cloud. © 2012 IEEE.

关键词： Internet of things

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A highly configurable cache architecture for embedded systems

A highly configurable cache architecture for embedded system...

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30th Annual International Symposium on Computer Architecture

作者： Zhang, CJ Vahid, F Najjar, W Univ Calif Riverside Dept Elect Engn Riverside CA 92521 USA

ISBN: (纸本)0769519458

Energy consumption is a major concern in many embedded computing systems. Several studies have shown that cache memories account for about 50% of the total energy consumed in these systems. The performance of a given cache architecture is largely determined by the behavior of the application using that cache. Desktop systems have to accommodate a very wide range of applications and therefore the manufacturer usually sets the cache architecture as a compromise given current applications, technology and cost. Unlike desktop systems, embedded systems are designed to run a small range of well-defined applications. In this context, a cache architecture that is tuned for that narrow range of applications can have both increased performance as well as lower energy consumption. We introduce a novel cache architecture intended for embedded microprocessor platforms. The cache can he configured by software to he direct-mapped, two-way, or four-way set associative, using a technique we call way concatenation, having very little size or performance overhead We show that the proposed cache architecture reduces energy caused by dynamic power compared to a way-shutdown cache. Furthermore, we extend the cache architecture to also support a way shutdown method designed to reduce the energy from static power that is increasing in importance in newer CMOS technologies. Our study of 23 programs drawn from Powerstone, MediaBench and Spec2000 show that tuning the cache's configuration saves energy for every program compared to conventional four-way set-associative as well as direct mapped caches, with average savings of 40% compared to a four-way conventional cache.

关键词： cache configurable architecture tuning low power low energy embedded systems microprocessor

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