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检索条件"任意字段=Conference on Configurable Computing - Technology and Applications"

共 333 条记录，以下是121-130 订阅

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A systematic review of nature inspired load balancing algorithm in heterogeneous cloud computing environment

A systematic review of nature inspired load balancing algori...

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2017 IEEE International conference on Innovative Mechanisms for Industry applications, ICIMIA 2017

作者： Jain, Pankaj Sharma, Sanjay Kumar Dept. of Computer Science Banasthali Vidyapith Rajasthan India

ISBN: (纸本)9781538618660

Cloud computing is a model to handle large scale distributed and grid computing by using virtualization. It empowered the client to acquire and manage the configurable shared pool of resources by their own or with minimum interference of service provider. However, Cloud services have heterogeneous Virtual Machines (VMs), with specified configuration and oscillate resources utilization, hosted on various servers situated different geographical location which may lead to imbalanced among resource and task scheduling. This results in poor performance, inefficient energy consumption, violation of service level agreement (SLAs), and instability in system. To overcome these issues, Load balancing plays vital role. The aim of load balancing algorithms is to improve the resource utilization, energy saving and deduction of carbon emission. In this paper, we have surveyed the nature inspired load balancing algorithm such as Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), and Genetic Algorithm (GA), BAT. Our main focus in on Resource Utilization and Energy Saving. © 2017 IEEE.

关键词： Genetic algorithms

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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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2017 IEEE International conference on Rebooting computing, ICRC 2017 - Proceedings

2017 IEEE International Conference on Rebooting Computing, I...

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2017 IEEE International conference on Rebooting computing, ICRC 2017

ISBN: (纸本)9781538615539

The proceedings contain 58 papers. The topics discussed include: an Ising computer based on simulated quantum annealing by path integral Monte Carlo method;an energy-efficient mixed-signal neuron for inherently error-resilient neuromorphic systems;impact of linearity and write noise of analog resistive memory devices in a neural algorithm accelerator;synchronised 4-phase resonant power clock supply for energy efficient adiabatic logic;in-memory execution of compute kernels using flow-based memristive crossbar computing;heterogeneous technology configurable fabrics for field-programmable co-design of CMOS and spin-based devices;reducing binary quadratic forms for more scalable quantum annealing;CMOS based scalable cryogenic control electronics for Qubits;a unified hardware/software co-design framework for neuromorphic computing devices and applications;quantum accelerators for high-performance computing systems;NNgine: ultra-efficient nearest neighbor accelerator based on in-memory computing;rebooting the data access hierarchy of computing systems;the superstrider architecture: integrating logic and memory towards non-von Neumann computing;a spike-timing neuromorphic architecture;auditory neural pathway simulation;and a new concept for computing using interconnect crosstalks.

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The design and implementation of a reconfigurable convolution operator based on APU

The design and implementation of a reconfigurable convolutio...

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2017 China Semiconductor technology International conference, CSTIC 2017

作者： Huang, Yuqian Huang, Jipan Wang, Xin'an Yang, Zhiqiang Lu, Haifang Tian, Miren Key Laboratory of Integrated Micro-System Science and Engineering Applications Peking University Shenzhen Graduate School China

ISBN: (纸本)9781509066940

In order to achieve fast IC design, reduce development cycle and cost, Key Lab. of Integrated Microsystems in Peking University proposed Array Processing for Unification Architecture(APU) which consists of four kinds of operators: computation, data path, control and MEM operators to replace the configurable logic block in current FPGA fabric. In this paper, a reconfigurable convolution operator based on APU, is presented which is used to convolutional neural network computing. The reconfigurable convolution operator is with more coarse-grain and function changeable than APU. And the process of operator synthesis is verified by simulation-based verification and formal verification separately. With the verification method proposed in this paper, certainty and completeness have been achieved. The results show that compared with the hardware design at the cost of resources based APU, this methodology can obtain hardware of suitable performance with regular structure with the cost of 34.08% less area and 25.26% lower power. © 2017 IEEE.

关键词： Neural networks

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A Case Study on Monitoring and Geolocation of Noise in Urban Environments Using the Internet of Things 17

A Case Study on Monitoring and Geolocation of Noise in Urban...

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2nd International conference on Internet of things, Data and Cloud computing (ICC)

作者： Alejandro Gomez, Jairo Talavera, Jesus Eduardo Tobon, Luis Alejandra Culman, Maria Quiroz, Luis A. Manuel Aranda, Juan Ernesto Garreta, Luis Pontificia Univ Javeriana Cali Valle Del Cauca Colombia Univ Autonoma Bucaramanga Bucaramanga Santander Colombia Pontificia Univ Javeriana Bogota Cundinamarca Colombia

ISBN: (纸本)9781450347747

This paper presents the development of a system to monitor and geo-reference noise in urban environments using the Internet-of-Oings (IoT). The system intends to help control agencies and citizens to monitor noise using smart devices and services available on the Cloud for data sharing. The system includes a mobile application that periodically captures the microphone's audio signal during a configurable time window, obtains the mobile's global position after each measurement using the built-in GPS, and assigns a timestamp from the operating system. Then, a Fast Fourier Transform is applied to recorded audio and the power spectrum in decibels is extracted. The resulting vector is sampled at specific frequencies to create a vector of audio features that can be used to assess noise pollution completely offline. If an Internet connection is available, a telemetry message is assembled and sent to an IoT Hub in Microsoft Azure Cloud containing a unique ID, a position stamp, a time stamp, and all audio features. The message is transferred to a Stream Analytics service, and from there it is sent to a Cloud SQL Database for permanent storage. The historical information collected and shared by different users can be examined online by any individual through a customized report developed in Microsoft Power BI.

关键词： Noise monitoring Mobile applications Internet of things Mobile crowd sensing

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Research and applications of Course System Framework Based on Unit

Research and Applications of Course System Framework Based o...

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2017 4th International conference on Education,Management and computing technology(ICEMCT 2017)

作者： Wei Liu Qiangwei Yan Department of Information Engineering Wuhan Business University Wuhan Textile University

ISBN: (纸本)9781510839304

In this paper, we propose a framework of curriculum system based on configurable units, which is suitable for the undergraduate education and higher vocational *** framework of the course can transform the existing curriculum system into a modular curriculum system, and ensure the flexible configuration and quality control of the modules. The framework of the course system is applied to design the mobile games in the paper.

关键词： unit course system interdisciplinary mobile game

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An Adaptive Filtration Based Defense Framework against Ddos

An Adaptive Filtration Based Defense Framework against Ddos

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IEEE International Symposium on Parallel and Distributed Processing with applications and IEEE International conference on Ubiquitous computing and Communications (ISPA/IUCC)

作者： Jian Zhang Xiaxia Zhou Wei Zhang Qidi Liang Fengtao Xiang Central South University Changsha Hunan CN National University of Defense Technology Changsha Hunan CN

While increasing cloud services are exposed to DDoS, DDoS defense has becoming more and more challenging. A single server with limited computing and memory resource can hardly handle large packet traces which are captured on fast links. In this paper, we propose a spark-streaming based online DDoS defense framework. First, we present a analysis model to identify abnormal packets. Second, we develop a defense model based on the statistics of abnormal packets. Our framework has two main advantages: (1) Our framework is configurable and with expert system functionality; the information maintained to detect threats is also leveraged during mitigation to effectively distinguishing legitimate from suspicious traffic; (2) Based on spark-streaming, our framework allows for parallel and distributed traffic analysis that can be deployed at high-speed network links. At the same time, by employing improved bloom-filter for approximated checks with low false positive/negative errors, it also reduces the space required to maintain the information leveraged for the threat detection and mitigation. The evaluation with data sets derived from real network traffic validates the performance of our framework in terms of detection accuracy, filtering efficiency, and monitoring overhead. The experiments show that our framework is able to detect DDoS attacks in the early stage of attack, to mitigate them by filtering out the majority of the abnormal packets while keeping a high percentage of the legitimate traffic unaffected.

关键词： Computer crime Sparks Cloud computing IP networks Analytical models Feature extraction Real-time systems

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Cyber Foraging and Offloading Framework for Internet of Things 40

Cyber Foraging and Offloading Framework for Internet of Thin...

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40th Annual IEEE Computer Software and applications conference Symposium (COMPSAC) / Symposium on Software Engineering technology and applications (SETA)

作者： Patil, Prithviraj Hakiri, Akram Gokhale, Aniruddha Vanderbilt Univ ISIS Dept EECS 221 Kirkland Hall Nashville TN 37235 USA Univ Carthage SYSCOM ENIT ISSAT Mateur Carthage Tunisia

ISBN: (纸本)9781467388450

Computation offloading or cyber foraging is a key capability required to achieve effective resource utilization in mobile cloud computing. It enables the dynamic offloading of computations to either neighboring mobile nodes or remote cloud-based servers, retrieve results from the offloaded computations, and thereafter continue execution of the mobile business logic. A number of computational mobility solutions have emerged recently for mobile cloud computing involving smartphones and tablets. However, these solutions incur limitations in the context of Internet of Things (IoT) due to the significant heterogeneity illustrated by the range of objects involved in IoT and the fact that existing solutions tend to be tightly coupled to their underlying frameworks, which makes it hard to seamlessly adapt these solutions to the IoT scenarios. To address these concerns, this paper makes three contributions. First, it presents a novel modular and highly configurable framework for providing seamless computational mobility in the IoT realm. Second, it provides implementation details for key capabilities of this framework. Third, it provides qualitative evaluation of the framework's capabilities.

关键词： Mobile cloud computing IoT software engineering modular and configurable framework

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Analysis of Cloud computing Attacks and Countermeasures 18

Analysis of Cloud Computing Attacks and Countermeasures

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18th International conference on Advanced Communication technology (ICACT)

作者： Jabir, Raja Mohamed Khanji, Salam Ismail Rasheed Ahmad, Liza Abdallah Alfandi, Omar Said, Huwida Zayed Univ Coll Technol Innovat Dubai 144534 U Arab Emirates

ISBN: (纸本)9788996865063

Business enterprises are competing to get their applications up and running faster with improved manageability and less maintenance by reassigning the ability to IT specialists to adjust resources in order to meet business fluctuating needs. This can be achieved through utilizing the Cloud computing Model which is distinguished by 'pay as you go' model. The model offers solutions of storage, convenient and on-demand access to a shared pool of configurable computing resources. As with any novel technology, Cloud computing is subject to security threats and vulnerabilities including network threats, information threats and underlying infrastructure threats. In this paper, we present a framework by which penetration testing is conducted to highlight possible vulnerabilities within our private Cloud computing infrastructure, simulate attacks to exploit discovered vulnerabilities such as Denial of Service (DoS) and Man-in-the- Cloud attacks, apply countermeasures to prevent such attacks, and then to exemplify a recommended best practice protection mechanism which will contribute to the Cloud computing security.

关键词： Cloud computing Man in the Cloud DDOS OpenStack

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Adaptive manycore architectures for big data computing: Special session paper

Adaptive manycore architectures for big data computing: Spec...

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International Symposium on Networks-on-Chip (NOCS)

作者： Janardhan Rao Doppa Ryan Gary Kim Mihailo Isakov Michel A. Kinsy HyoukJun Kwon Tushar Krishna Washington State University Pullman WA US Department of Electrical and Computer Engineering Carnegie Mellon University Department of Electrical and Computer Engineering Boston University School of Electrical and Computer Engineering Georgia Institute of Technology

ISBN: (纸本)9781538616567;9781450349840

This work presents a cross-layer design of an adaptive manycore architecture to address the computational needs of emerging big data applications within the technological constraints of power and reliability. From the circuits end, we present links with reconfigurable repeaters that allow single-cycle traversals across multiple hops, creating fast single-cycle paths on demand. At the microarchitecture end, we present a router with bi-directional links, unified virtual channel (VC) structure, and the ability to perform self-monitoring and self-configuration around faults. We present our vision for self-aware manycore architectures and argue that machine learning techniques are very appropriate to efficiently control various configurable on-chip resources in order to realize this vision. We provide concrete learning algorithms for core and NoC reconfiguration; and dynamic power management to improve the performance, energy-efficiency, and reliability over static designs to meet the demands of big data computing. We also discuss future challenges to push the state-of-the-art on fully adaptive manycore architectures.

关键词： Computer architecture Routing Rain Synthetic aperture radar Bandwidth System-on-chip Adaptive systems

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