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Koala: Towards Lazy and Locality-Aware Overlays for Decentralized clouds 2

Koala: Towards Lazy and Locality-Aware Overlays for Decentra...

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2nd IEEE international conference on Fog and Edge computing (ICFEC)

作者： Tato, Genc Bertier, Marin Tedeschi, Cedric Univ Rennes INRIA CNRS IRISA Rennes France INSA Rennes INRIA CNRS IRISA Rennes France

ISBN: (纸本)9781538664889

Current cloud computing infrastructures and their management are highly centralized, and therefore they suffer from limitations in terms of network latency, energy consumption, and possible legal restrictions. Decentralizing the cloud has been recently proposed as an alternative. However, the efficient management of a geographically dispersed platform brings new challenges related to service localization, network utilization and locality-awareness. We here consider a cloud topology composed of many small datacenters geographically dispersed within the backbone network. In this paper, we present the design, development and experimental validation of Koala, a novel overlay network that specifically targets such a geographically distributed cloud platform. The three key characteristics of Koala are laziness, latency-awareness and topology-awareness. By using application traffic, Koala maintains the overlay lazily while it takes locality into account in each routing decision. Although Koala's performance depends on application traffic, through simulation experiments we show that for a uniformly distributed traffic, Koala delivers similar routing complexity and reduced latency compared to a traditional proactive protocol, such as Chord. Additionally, we show that despite its passive maintenance, Koala can appropriately deal with churn by keeping the number of routing failures low, without significantly degrading the routing performance. Finally, we show how such an overlay adapts to a decentralized cloud composed of multiple small datacenters.

关键词： Routing cloud computing Maintenance engineering Protocols Overlay networks Computer architecture Complexity theory

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A novel parallel traffic control mechanism for cloud computing

A novel parallel traffic control mechanism for cloud computi...

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2nd IEEE international conference on cloud computing Technology and Science, cloudCom 2010

作者： Li, Zheng Yu, Nenghai Hao, Zhuo MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology of China Hefei China

ISBN: (纸本)9780769543024

In this paper a novel parallel network traffic control mechanism for cloud computing is proposed based on the packet scheduler HTB (Hierarchical Token Buckets). The idea of bandwidth borrowing in HTB makes it suitable for large scale high-performance scenario such as cloud computing. However, the capacity of current HTB is only 0.5Gbps, which could not afford the high traffic rate and user concurrency in the cloud. In this paper, a parallel HTB mechanism is proposed: new algorithms are designed to reduce concurrency in HTB key structure access. Then, the usage of lock-free FIFOs parallelizes HTB into a 2-stage pipeline on the multi-core architecture. This parallel HTB could not only increase the processing rate, but also keep a well performance on stability, which is important for cloud computing. The simulation results prove that parallel HTB's capacity can easily break 1Gbps, and reach 2Gbps at most, increasing the performance as high as 300% compared to the traditional HTB. This makes it an effective network traffic control mechanism for cloud computing. Moreover, our work is the first one to make HTB run in the pipelined fashion on a multi-core processor. © 2010 IEEE.

关键词： cloud computing

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Ontology management in cloud computing

Ontology management in cloud computing

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2010 2nd international conference on Computational Intelligence and Natural computing, CINC 2010

作者： Wei, Yu Junpeng, Chen Department of Information Management Nanjing University China Computer School Wuhan University China

ISBN: (纸本)9781424477036

cloud computing is an integrated infrastructure for resource sharing and computing in distributed environment. In this paper, we propose an ontology management approach in cloud computing to provide a unique semantic ground to consumer. Ontology application can be performed based on MapReduce computation and provided to user browser or user application. ©2010 IEEE.

关键词： Ontology

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Thinking the cloud computing in China

Thinking the cloud computing in China

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2010 2nd IEEE international conference on Information Management and engineering, ICIME 2010

作者： Li, Ran Tang, Shoulian Guo, Ce Hu, Xiaowei School of Economic Management Beijing University of Posts and Telecommunications Beijing China School of Information Resource Management RenMin University of China Beijing China College of Computing and Communication Engineering Graduate University of the Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781424452644

cloud computing is an emerging computing paradigm. It aims to share data, caluations, and services transparently among users of a massive grid. It became a hot issue for its adavantage such as "reduce costs", "increase business flexibility" and/or "provide business continuity". We study methods to discuss the cloud computing opportunity for Chinese IT industry. Build a model to describe the kernel element in cloud computing industry. Then we pay attention to the privacy of cloud service, and advise some suggestion for the security of cloud. Finally we suppose the future of cloud computing. © 2010 IEEE.

关键词： cloud security

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A Futuristic Review on Sustainable Energy grid 2

A Futuristic Review on Sustainable Energy Grid

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2nd international conference on Advancements in Electrical, Electronics, Communication, computing and Automation, ICAECA 2023

作者： Raja, Guru R. Mathankumar, M. Babu, W Rajan Department of Artificial Intelligence M Kumarasamy College of Engineering Karur India Department of Electrical and Electronics Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (纸本)9798350306811

Efficient energy supply and consumption play a substantial role in the energy grid, especially with renewable energy sources. Renewable power sources are unreliable which made the grid difficult to handle. A smart energy grid architecture provides an effective management structure in energy distribution. The essential grid factors, load balancing, and demand monitoring are enhanced by the emerging technologies incorporated with a distributed energy framework. In this paper, the interconnection of various grid domains and their role in effective operations are discussed. Both the energy and communication sector need to be working in parallel. The demand handling, loss reduction, issue identification in energy transmission, and the data storage, data analyzation, traffic controlling in communication are addressed by smart grids. This paper analyses a technique that is implemented in various grid architectures, the potential of the distributed system, the challenges in the existing grid, and the research to overcome those difficulties. © 2023 IEEE.

关键词： Smart power grids

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Application of 5G Data-Oriented System Task Scheduling Algorithm in Community Public Sports Service Construction 2

Application of 5G Data-Oriented System Task Scheduling Algor...

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2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Kundra, Danish Chitkara University Institute of Engineering and Technology Centre for Interdisciplinary Research in Business and Technology Punjab India

ISBN: (纸本)9798350347456

Developing local public sports services is a crucial part of urban public services. It directly affects the quality of life of the people and plays an essential role in the development of sports construction. However, there are still many problems with the current public sports service system. cloud computing is a paradigm of parallel and distributed computing. Critical features of Virtual Machines (VMs) include self-service provisioning, flexibility, and cloud computing while paying. This is because performing the tasks that a user has submitted through the Internet provides a different type of resource. The main task scheduling problem is load balancing, response time, resource utilization and memory. To resolve this problem, the Cuckoo Optimization-based Task Scheduling Algorithm (CO-TSA) is used to schedule the community public sports service construction details stores in the cloud, then the proposed allocate task into VM. The population and the operation, the setting calculation unit of the nest of the order relationship birds task of switching to another task in virtual machines. An efficient proposed CO-TSA scheduling algorithm may be implemented to improve the overall performance of different cloud environments. © 2023 IEEE.

关键词： Sports

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Energy efficient soft fault detection algorithm in wireless sensor networks

Energy efficient soft fault detection algorithm in wireless ...

引用

2012 2nd IEEE international conference on parallel, distributed and grid computing, PDGC 2012

作者： Panda, Meenakshi Khilar, P.M. Department of Computer Science and Engineering National Institute of Technology Rourkela 769008 India

ISBN: (纸本)9781467329255

The presence of soft faulty sensor nodes in wireless sensor networks (WSNs) creates problem for maintaining the consistent performance over the entire life span. For this, a distributed fault detection algorithm is proposed which is based on the neighboring coordination technique. The sensor node characteristics are accumulated at a particular time instant to compute the faulty status. In this approach the number of message exchange to identify the faulty sensors is less and also saves substantial amount of energy of the sensor nodes. The proposed algorithm is implemented in NS3. The simulation result shows that the detection accuracy is better compared to other detection techniques. © 2012 IEEE.

关键词： Fault detection

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Use of cloud computing for distributed simulation: A way forward 2nd

Use of cloud computing for distributed simulation: A way for...

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2nd international conference on Computer, Intelligent computing and Education Technology (CICET)

作者： Fan, Xi Hui Fan, Zhi Xuan, Qian Li, Ming Xi New Star Res Inst Appl Technol Hefei Peoples R China

ISBN: (纸本)9781315685892;9781138028005

Many of the current, in-use simulation systems today are difficult to install, configure, and execute. cloud computing has received a significant amount of attention leading to large information technology (IT) initiatives at the corporate and government levels. It is natural to explore the cloud computing with the modeling and simulation (M&S) community. The paper puts forward a distributed simulation framework use of cloud computing.

关键词： cloud computing Simulation Virtualization SOA OWL

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An Evaluation of CUDA-enabled Virtualization Solutions

An Evaluation of CUDA-enabled Virtualization Solutions

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2nd IEEE international conference on parallel, distributed and grid computing (PDGC)

作者： Vinaya, M. S. Vydyanathan, Nagavijayajakshmi Gajjar, Mrugesh Int Inst Infonnat Technol Bangalore Karnataka India Siemens Corp Res & Technol Bangalore Karnataka India

ISBN: (纸本)9781467329255;9781467329224

Virtualization, as a technology that enables easy and effective resource sharing with a low cost and energy footprint, is becoming increasingly popular not only in enterprises but also in high performance computing. Applications with stringent performance needs often make use of graphics processors for accelerating their computations. Hence virtualization solutions that support GPU acceleration are gaining importance. This paper performs a detailed evaluation of three frameworks: rCUDA, gVirtuS and Xen, which support GPU acceleration through CUDA, within a virtual machine. We describe the architectures of these three solutions and compare and contrast them in terms of their fidelity, performance, multiplexing and interposition characteristics.

关键词： virtualization gpgpu computing cuda gpu virtualization many-core computing

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Monte Carlo Optimisation Auto-Tuning on a Multi-GPU Cluster

Monte Carlo Optimisation Auto-Tuning on a Multi-GPU Cluster

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2nd IEEE international conference on parallel, distributed and grid computing (PDGC)

作者： Paukste, Andrius Vilnius Univ Fac Math & Informat Vilnius Lithuania

ISBN: (纸本)9781467329255

In this paper we investigate Monte Carlo optimisation of the fitness function on a multi-GPU cluster. Our main goal is to develop auto-tuning techniques for the GPU cluster. Monte Carlo or random sampling is a technique to optimise a fitness function by giving random values to function parameters. When execution of the fitness function requires a high amount of computational power Monte Carlo sampling becomes both very time and computational power consuming. A developer who is not familiar with the application, hardware, and the CUDA runtime cannot determine the optimal execution parameters. This makes GPU auto-tuning well suited to achieving better performance and reducing computing time. Finally, we compare the execution time with the consequent CPU as well as with multi-core CPU implementation.

关键词： GPU computing high performance computing Monte Carlo optimisation financial risks

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