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Novel Dynamic Scaling Algorithm for Energy Efficient Cloud Computing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F22%3A50019371" target="_blank" >RIV/62690094:18470/22:50019371 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.techscience.com/iasc/v33n3/47102" target="_blank" >https://www.techscience.com/iasc/v33n3/47102</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.32604/iasc.2022.023961" target="_blank" >10.32604/iasc.2022.023961</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Novel Dynamic Scaling Algorithm for Energy Efficient Cloud Computing

  • Original language description

    Huge data processing applications are stored efficiently using cloud computing platform. Few technologies like edge computing, Internet of Things (IoT) model helps cloud computing framework for executing data with less energy and latencies for better infrastructure. Recently researches focused on providing excellent services to cloud computing users. Also, cloud-based services are highly developed over IT field. Energy a level varies based on the cloud setup like speed, memory, service capability and bandwidth. The user job requirements are varied based its nature. The process of identifying efficient energy resources for the user job is main aim of this research work. Initially IoT, Edge devices capture the job and process to help cloud infrastructure. Data transferring process is a Non-deterministic Polynomial (NP) hard problem which can be easily supported by technologies like IoT and Edge computing. Main issue is, tremendous increase of data over the cloud causes difficult to manage consumption of energy. In this research work server clouds with edge devices and centralized cloud servers are combined to work for providing efficient energy consumption. Here, in this paper we implement novel dynamic speed scaling (NDS) algorithm. The CPU workload is first computed using NDS algorithm for incoming application. The less energy computation is achieved using energy internet of things (EIoT). Fine methodology called speed processor scaling, helps to consume less energy and less computation price. High energy consumption of processor is due to high computation speed. likewise, less energy is consumed during less processor computation speed. This technique is building in NDS algorithm and computed in Edge devices for less energy consumption. The result evaluation proves that proposed technique consumes only 10 s for data computation when compared to other existing techniques.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    INTELLIGENT AUTOMATION AND SOFT COMPUTING

  • ISSN

    1079-8587

  • e-ISSN

    2326-005X

  • Volume of the periodical

    33

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    13

  • Pages from-to

    1547-1559

  • UT code for WoS article

    000782779900001

  • EID of the result in the Scopus database

    2-s2.0-85127822148