Improved jellyfish algorithm-based multi-aspect task scheduling model for iot tasks over fog integrated cloud environment

HIGHLIGHTS

  • who: Nupur Jangu from the (UNIVERSITY) have published the Article: Improved Jellyfish Algorithm-based multi-aspect task scheduling model for IoT tasks over fog integrated cloud environment, in the Journal: (JOURNAL)
  • what: This work proposes an efficient two-step scheduling algorithm comprising a Bi-factor classification task phase based on deadline and priority and a scheduling phase using an enhanced artificial Search Optimizer (JS) proposed as an Algorithm (IJFA). Looking at the immense benefits of using meta-heuristics in computing literature, this study proposes an Improved Jellyfish algorithm (IJFA) model for scheduling classified tasks over . . .

     

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