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  <doi_batch_id>aspg-3-2422-1791294314</doi_batch_id>
  <timestamp>20261006134514</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
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  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>Fusion: Practice and Applications</full_title>
    <abbrev_title>FPA</abbrev_title>
    <issn media_type="print">2770-0070</issn>
    <issn media_type="electronic">2692-4048</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <journal_volume>
     <volume>14</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>A Novel Approach for Minimizing Response Time in IoT using Adaptive Algorithm</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Hitesh Kumar</given_name>
      <surname>Sharma</surname>
      <affiliations>
       <institution>
        <institution_name>Amity University, Gwalior, M.P, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Samta Jain</given_name>
      <surname>Goyal</surname>
      <affiliations>
       <institution>
        <institution_name>Amity University, Gwalior, M.P, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Sumit</given_name>
      <surname>Kumar</surname>
      <affiliations>
       <institution>
        <institution_name>G.N.S University, Sasaram, Bihar, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Abhishek</given_name>
      <surname>Kumar</surname>
      <affiliations>
       <institution>
        <institution_name>Amity University, Gwalior, M.P, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>This research offers four work and computer tool setups. The dynamic Resource Allocation Algorithm is crucial to the system. This lets you manage changing supply. Once the PWMA knows how much work is coming up, it may divide resources and plan. The Load Balancing Algorithm (LBA) distributes work evenly to avoid over- or under-utilization and it also provides access content faster via the Adaptive Caching Algorithm (ACA). The proposed system surpasses the top alternative in several domains, such as data transmission, reaction time, energy conservation, load distribution effectiveness, and recovery time from failures. This is because the suggested solution incorporates many disparate approaches. Graphs and charts are visual representations that effectively illustrate the similarities and differences between the two methodologies. The hybrid technique is especially beneficial when the workload is unpredictable and prone to fluctuations. To do this, it instructs you on the fundamentals of efficient and adaptable computer resource management.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>08</first_page>
     <last_page>25</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2422</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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    <doi_data>
     <doi>10.54216/FPA.140201</doi>
     <resource>https://americaspg.com/journal/3/article/2422</resource>
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       <resource mime_type="application/pdf">https://americaspg.com/storage/01705679173.pdf</resource>
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