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1982 results in Distributed, Networked and Mobile Computing

Page 17 of 100

Cloud Computing
  • Sandeep Bhowmik
  • Published online:
    31 August 2020
    Print publication:
    17 April 2017
  • Written in a tutorial style, this comprehensive guide follows a structured approach explaining cloud techniques, models and platforms. Popular cloud services such as Amazon, Google and Microsoft Azure are explained in the text. The security risks and challenges of cloud computing are discussed in detail with useful examples. Emerging trends including mobile cloud computing and internet of things are discussed in the book for the benefit of the readers. Numerous review questions, multiple choice exercises and case studies facilitate enhanced understanding. This textbook is ideal for undergraduate and graduate students of computer science engineering, and information technology.

Auction Theory for Computer Networks
  • Dusit Niyato, Nguyen Cong Luong, Ping Wang, Zhu Han
  • Published online:
    15 May 2020
    Print publication:
    11 June 2020
  • Do you have the tools to address recent challenges and problems in modern computer networks? Discover a unified view of auction theoretic applications and develop auction models, solution concepts, and algorithms with this multidisciplinary review. Devise distributed, dynamic, and adaptive algorithms for ensuring robust network operation over time-varying and heterogeneous environments, and for optimizing decisions about services, resource allocation, and usage of all network entities. Topics including cloud networking models, MIMO, mmWave communications, 5G, data aggregation, task allocation, user association, interference management, wireless caching, mobile data offloading, and security. Introducing fundamental concepts from an engineering perspective and describing a wide range of state-of-the-art techniques, this is an excellent resource for graduate and senior undergraduate students, network and software engineers, economists, and researchers.

Communication Networks
  • An Optimization, Control, and Stochastic Networks Perspective
  • R. Srikant, Lei Ying
  • Published online:
    30 January 2019
    Print publication:
    14 November 2013
  • Provides a modern mathematical approach to the design of communication networks for graduate students, blending control, optimization, and stochastic network theories. A broad range of performance analysis tools are discussed, including important advanced topics that have been made accessible to students for the first time. Taking a top-down approach to network protocol design, the authors begin with the deterministic model and progress to more sophisticated models. Network algorithms and protocols are tied closely to the theory, illustrating the practical engineering applications of each topic. The background behind the mathematical analyses is given before the formal proofs and is supported by worked examples, enabling students to understand the big picture before going into the detailed theory. End-of-chapter problems cover a range of difficulties, with complex problems broken into several parts, and hints to many problems are provided to guide students. Full solutions are available online for instructors.

Smart Grid Technology
  • A Cloud Computing and Data Management Approach
  • Sudip Misra, Samaresh Bera
  • Published online:
    20 October 2018
    Print publication:
    28 March 2018
  • This comprehensive text covers fundamental concepts of smart grid technologies, integrating the tools and techniques of cloud computing and data management for application in smart grids. Different cloud and data management approaches are explained, highlighting energy management, information management, and security in the smart grid. The concepts of plug-in hybrid electric vehicle and virtual energy storage are explained in separate chapters. The text covers recent trends in cloud computing and data analytics in the field of smart grid. A glossary of important technical terms is provided for the benefit of the readers.

  • 14 - Simulation Tools

  • from Part IV - Smart Grid Design and Deployment
  • Sudip Misra, Samaresh Bera
  • Book:
    Smart Grid Technology
    Published online:
    20 October 2018
    Print publication:
    28 March 2018, pp 227-230

  • Summary

    In Chapters 5–13, we discussed several methodologies that are useful to address different problems present in the smart grid in order to provide electricity to the users in a cost-effective and reliable manner. However, we also need to realize the system behavior and impact of the parameters used in a particular model through different controllable experiments. Thus, the use of suitable simulation tools is an important concern.

    As we saw earlier, smart grid technologically combines two different entities–power grid and communication network. Therefore, a smart grid simulator needs to take into account the properties of both the power grid and the communication network. There are many tools available for the simulation of smart grid. In this chapter, we discuss some of the useful simulation tools that can be used for conducting smart grid experiments.

    Simulation Tools

    Open DSS

    Open distribution system simulator (OpenDSS) [1] is one of the popular power grid simulation tools available. It deals with power grid system planning and analysis. As the name suggests, using this tool, one can model the power distribution system and analyze the behavior of the system prior to actual deployment. Primarily, it can help to analyze the needs of distributed generation units in a power grid system. Holistically, it supports future needs such as the modeling of smart grid applications, power delivery, and harmonics analysis. Some of the wide applications of OpenDSS simulation tools are as follows [1]:

  • • Power distribution planning and analysis

  • • Analysis of integrating multiple distributed generations

  • • Distributed storage modeling

  • • Wind power simulation

  • • Solar photo-voltaic simulations

  • • Impact of electric vehicles modeling and simulation

  • • Daily/annual energy load and generation simulation

    • By default, this simulator does not include any provision to have communication protocols that can be used to design the smart grid communication networks. However, it provides the flexibility of integrating communication models into it. It can also easily be integrated with MATLAB or other well-known simulators.

    MATPOWER

    MATPOWER [2] is another simulation tool designed for analyzing power problems in a power grid. This is a package that can be integrated with MATLAB. It is useful to simulate optimal power flow problems present in the smart grid. However, the features of simulation supported by this tool are purely related to power grid simulation. MATPOWER does not have any provision to model the communication networks.

Page 17 of 100