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A Hybrid Approach for Routing Path Computation in Software Defined Ultra Dense Network

A Hybrid Approach for Routing Path Computation in Software D...

引用

Sustainable Technologies for Industry 4.0 (STI), international conference on

作者： Mozdaher Abdul Quader Montaser Abdul Quader Palash Roy Md. Abdur Razzaque Green University of Bangladesh Dhaka Bangladesh Green Networking Research Group University of Dhaka Bangladesh

ISBN: (数字)9781665404891

ISBN: (纸本)9781665404907

In an OpenFlow based Software Defined Network (SDN), computation and installation of flow rules can be done proactively or reactively. Even though the proactive approach of SDN provides better performance in terms of transmission delay compared to its reactive counterpart, cannot be implemented in an extensive, unpredictable, and delay-sensitive network like Software Defined Ultra-dense Network (SD-UDN) of distributed Mobile Edge computing (MEC) servers due to the memory limitations of SDN forwarding devices. Furthermore, the reactive approach fails to provide service to delay-sensitive applications. In this paper we have developed a hybrid approach that retains the property of installing flow rules only along the computed path and reduces the initial path computation delay during packet transmission. The proposed approach also reduces reactive computation burdens by resolving significant computation loads proactively and minimizes the total number of node expansions during path computation with A* algorithm. Emulation results in mininet demonstrate an improvement in the proposed approach's performance in terms of initial path computation delay to about 90% compared to the state-of-the-art reactive approaches.

关键词： Emulation Software algorithms Software Delays Servers Software defined networking Ultra-dense networks

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distributed-Memory Parallel Symmetric Nonnegative Matrix Factorization 20

Distributed-Memory Parallel Symmetric Nonnegative Matrix Fac...

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Supercomputing conference

作者： Srinivas Eswar Koby Hayashi Grey Ballard Ramakrishnan Kannan Richard Vuduc Haesun Park Georgia Institute of Technology Atlanta USA Wake Forest University Winston-Salem USA Computational Data Analytics Group Oak Ridge National Laboratory Oak Ridge USA

ISBN: (数字)9781728199986

ISBN: (纸本)9781728199993

We develop the first distributed-memory parallel implementation of Symmetric Nonnegative Matrix Factorization (SymNMF), a key data analytics kernel for clustering and dimensionality reduction. Our implementation includes two different algorithms for SymNMF, which give comparable results in terms of time and accuracy. The first algorithm is a parallelization of an existing sequential approach that uses solvers for non symmetric NMF. The second algorithm is a novel approach based on the Gauss-Newton method. It exploits second-order information without incurring large computational and memory costs. We evaluate the scalability of our algorithms on the Summit system at Oak Ridge National Laboratory, scaling up to 128 nodes (4,096 cores) with 70% efficiency. Additionally, we demonstrate our software on an image segmentation task.

关键词： Symmetric matrices Scalability Software algorithms Clustering algorithms Software Task analysis Kernel

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Determining Feature Gaps Of Open Source Cloud Platforms for Mobile Backend as service (MBaaS) in Enterprise Mobile Applications

Determining Feature Gaps Of Open Source Cloud Platforms for ...

引用

IEEE distributed computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

作者： Aslam B Nandyal Mohammed Rafi University BDT College of Engineering Davanagere Karnataka INDIA University BDT College of Engineering Davanagere INDIA

ISBN: (数字)9781728198859

ISBN: (纸本)9781728198866

The development of mobile applications for various platforms requires enormous amount of time and effort. Demand for high performance, high quality, cloud enabled, social media and security aware features in a limited time to market environment requires systems which solve the task of integrating the front ends with various back ends. The model of “Mobile Backend as a service” (MBaaS) offers a cloud server infrastructure with Application Programming Interface/Software Development Kits for development on various mobile, web and desktop platforms. This saves considerable amount of app development expense, time, as it eases up the backend development work, thereby enabling the developer to focus on functionality, its promotion and on the improvement of the user experience. Technical requirements and various features of both open source and commercial MBaaS products are compiled. The paper evaluates popular, open source products available for enterprise mobile, web and desktop applications, and documents the fundamental and common set of capabilities provided by MBaaS. The developers, technical architects and managers will benefit from the qualitative analysis of development, deployment and engagement services of each MBaaS platform. The constraints discussed can be a feedback to platform vendors and hence the observations can help the complete ecosystem of mobile application development.

关键词： Social networking (online) Mobile applications Cloud computing Synchronization Business Security Authentication

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IoT based Energy Management System for Smart Grid

IoT based Energy Management System for Smart Grid

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Advances in computing, Communication & Materials (ICACCM), 2020 international conference on

作者： Munish Kumar Ahmad Faiz Minai Akhlaque A. Khan Satish Kumar Integral University Lucknow INDIA

ISBN: (数字)9781728197852

ISBN: (纸本)9781728197869

In the modern days the word “Smart Grid” becomes a common word which can also be used as a junction which monitor demand side energy as well as the incoming energy and make it balance when the demand is on the peak or in low position it contributes the saved electric energy with the help of Internet of Things (loT). The IoT make power grid (smart grid) more reliable and economical. By IoT there is no lack of information in demand and supply and also it helps to save the energy. It also make pre-pattern of electricity consumption as the load demand and send signal to generation side for the required energy for the specific time period. The smart grid with IoT integrates the high speed response and storage system also with energy consumption. This type of networking by using IoT makes the operation of Smart Grid more reliable and burden free from the high demand periods (because the stored energy is used for the required demand). It also makes a better environment to collect the power from distributed generation and fasten the use of operation in the smart grid environment using loT. In this paper the use of IoT is discussed to work with Smart Grid for the better, economical, loss free power and also it helps in energy saving by reduce wastage. IoT is also used for the transfer of real time information to the Smart Grid and when the increase or decrease of demand takes places it helps in the saving of energy. User and supplier communication has been established by IoT for the proposed system.

关键词： Smart grids Batteries Feeds Wind turbines Renewable energy sources distributed power generation

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An Improvement of a Checkpoint-based distributed Testing Technique on a Big Data Environment 21

An Improvement of a Checkpoint-based Distributed Testing Tec...

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21st international conference on Advanced Communication Technology (ICACT)

作者： Sudsee, Bhuridech Kaewkasi, Chanwit Suranaree Univ Technol Sch Comp Engn Nakhon Ratchasrima 30000 Thailand

ISBN: (纸本)9791188428021

The advancement of storage technologies and the fast-growing number of generated data have made the world moved into the Big Data era. In this past, we had many data mining tools but they are inadequate to process Data-Intensive Scalable computing workloads. The Apache Spark framework is a popular tool designed for Big Data processing. It leverages in-memory processing techniques that make Spark up to 100 times faster than Hadoop. Testing this kind of Big Data program is time consuming. Unfortunately, developers lack a proper testing framework, which cloud help assure quality of their data-intensive processing programs while saving development time and storage usages. We propose distributed Test Checkpointing (DTC) for Apache Spark. DTC applies unit testing to the Big Data software development life cycle and reduce time spent for each testing loop with checkpoint. By using checkpoint technique, DTC keeps quality of Big Data processing software while keeps an inexpensive testing cost by overriding original Spark mechanism so that developers no pain to learn how to use DTC. Moreover, DTC has no addition abstraction layers. Developers can upgrade to a new version of Spark seamlessly. From the experimental results, we found that in the subsequence rounds of unit testing, DTC dramatically speed the testing time up to 450-500% faster. In case of storage, DTC can cut unnecessary data off and make the storage 19.7 times saver than the original checkpoint of Spark. DTC can be used either in case of JVM termination or testing with random values.

关键词： distributed Checkpointing Apache Spark Big Data Testing Software Testing

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GEMS: GPU-Enabled Memory-Aware Model-Parallelism System for distributed DNN Training 20

GEMS: GPU-Enabled Memory-Aware Model-Parallelism System for ...

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Supercomputing conference

作者： Arpan Jain Ammar Ahmad Awan Asmaa M. Aljuhani Jahanzeb Maqbool Hashmi Quentin G. Anthony Hari Subramoni Dhableswar K. Panda Raghu Machiraju Anil Parwani The Ohio State University

ISBN: (数字)9781728199986

ISBN: (纸本)9781728199993

Data-parallelism has become an established paradigm to train DNNs that fit inside GPU memory on large-scale HPC systems. However, model-parallelism is required to train out-of-core DNNs. In this paper, we deal with emerging requirements brought forward by very large DNNs being trained using high-resolution images common in digital pathology. To address these, we propose, design, and implement GEMS; a GPU-Enabled Memory-Aware Model-Parallelism System. We present several design schemes like GEMS-MAST, GEMS-MASTER, and GEMS-Hybrid that offer excellent speedups over state-of-the-art systems like Mesh-TensorFlow and FlexFlow. Furthermore, we combine model-parallelism and data-parallelism to train a 1000-1ayer ResNet-lk model using 1,024 Volta V100 GPUs with 97.32% scaling-efficiency. For the real-world histopathology whole-slide-image (WSI) of 100,000 x 100,000 pixels, we train custom ResNet-110-v2 on image tiles of size 1024 x 1024 and reduce the training time from seven hours to 28 minutes.

关键词： Training Histopathology Computational modeling High performance computing Graphics processing units distributed databases Data models

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Investigation of a Hybrid Sensor- and Computational Network for Numerical Weather Prediction Calculations 22nd

Investigation of a Hybrid Sensor- and Computational Network ...

引用

22nd international conference on distributed Computer and Communication Networks (DCCN)

作者： Vas, Adam Toth, Laszlo Univ Debrecen Fac Informat Kassai St 26 H-4028 Debrecen Hungary

ISBN: (纸本)9783030366254;9783030366247

In this paper we investigate a hybrid approach to integrate our distributed Sensor Network for Prediction Calculations (DSN-PC) system's measurements into a hybrid computational network which assimilates them with publicly available atmospheric analysis dataset. The forecast calculations are based on a simple and relatively easily implementable algorithm. The parallelization is provided on the mathematical layer which is the highest possible level of parallelizing an algorithm for the solution of a system of differential equations. Our future goal is to move to solely DSN-PC measurement-based computations to make weather forecasts, but we do not have sufficient number of stations installed yet. However, a hybrid solution where we included NOAA Global Forecast System (GFS) data in the production of the initial values made it possible to test our sensor network's capability of performing such calculations. To evaluate the viability of our approach we analyzed the error of the forecasts. Below the results of the distributed calculations are shown along with the method of the assimilation of the two datasets.

关键词： Sensor network distributed computing Numerical calculations Weather prediction Data assimilation

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The distributed computing Framework Research for Avionics Cloud

The Distributed Computing Framework Research for Avionics Cl...

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international conference on networking and Network Applications (NaNA)

作者： Xie Jianchun Wang Zhonghua Li Yahui AVIC Comp Tech Res Inst Aviat Key Lab Sci & Technol Airborne & Missilebor Xian Shaanxi Peoples R China

ISBN: (纸本)9781538683033

In the avionics cloud computing environment, the resource distributed in different task area, whatever partitioned by physical of logical, need to be cooperate together to compute a task. For the avionic computing environment, a set of distributed framework are presented in this paper, which include computing model, hardware framework and software model. The framework almost contains the technical character of the classical open framework, and can directly used for avionics products manufacture.

关键词： avionics distributed computing clusster computing resource pool ritual service

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A Multimedia Platform for Mexican Cultural Heritage Diffusion 11th

A Multimedia Platform for Mexican Cultural Heritage Diffusio...

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11th international conference on Multimedia and Network Information Systems (MISSI)

作者： de Asis Lopez-Fuentes, Francisco Alejandro Ibanez-Ramirez, Juan Univ Autonoma Metropolitana Cuajimalpa Mexico City 04871 DF Mexico

ISBN: (纸本)9783319986784;9783319986777

New Web technologies that allow greater interaction among users have emerged in the Internet. In such a way that now it is common for users to participate actively by writing, publishing, exchanging or sharing digital content over the Internet. This fact has allowed the emergence of web communities, web services, social networking services, wikis, blogs, etc. that are developed on a specific topic. This paper presents a multimedia web platform for the creation, edition and dissemination of historical cultural contents. Security strategies are considered in the design and implementation of the interactive platform. A digital platform with this purpose is very important due to the great cultural heritage of Mexico. We evaluate the operation of our platform with cultural information related with different historic stages of Mexico such as prehispanic, colonial and independent. Our proposal seeks that the population has knowledge of cultural and historical contents in order to continuing preserve their cultural heritage.

关键词： distributed application Multimedia Internet Web 2.0

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2012 Third international conference on networking and distributed computing - ICNDC 2012

2012 Third International Conference on Networking and Distri...

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3rd international conference on networking and distributed computing, ICNDC 2012

ISBN: (纸本)9780769548326

The proceedings contain 48 papers. The topics discussed include: live streaming with content centric networking;a data structure for content cache management in content-centric networking;reformat named data networking with cryptographic message syntax;application of parallel computing on large scale atmospheric nucleation;research and evaluation of network virtualization in cloud computing environment;research on education reform of negative feedback teaching process based on cloudy computing;research on hadoop cloud computing model and its applications;the reform of three-dimensional to the practice of telecommunication system for the applications of Internet of things;a strategy for mesh client mobility support in wireless mesh networks;using dynamic programming in delay tomography;and an adaptive bit-Allocation method based on perceptual quality smoothing for wireless video communications.

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