Energy and latency-balanced osmotic-offloading algorithm for healthcare systems

Benazir Neha, Sanjaya Kumar Panda, Pradip Kumar Sahu, David Taniar

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

Healthcare has become an on-the-fly service that is available at one's fingertips through smartphones, smart wearables, etc. Many a task related to health are solved on these devices. However, certain tasks require higher computational resources, leading to high energy consumption. Moreover, various latency-intensive tasks demand immediate actions and need to be completed within a stipulated time or a certain deadline. Offloading tasks to nearby edge devices or moving them to the cloud could be a viable solution to address the problem of latency and energy consumption. We present an offloading algorithm for healthcare systems by leveraging osmotic computing to handle compute-intensive, energy-consuming and latency-intensive tasks. The proposed algorithm is simulated and evaluated using various synthetic test cases to show its efficacy. We have analysed the performance of our proposed energy and latency-balanced osmotic-offloading (ELBO) algorithm in terms of average latency, success ratio, task failure rate and energy consumption.

Original languageEnglish
Article number101176
Number of pages13
JournalInternet of Things (Netherlands)
Volume26
DOIs
Publication statusPublished - Jul 2024

Keywords

  • Cloud computing
  • Edge computing
  • Energy consumption
  • Healthcare systems
  • Latency
  • Offloading
  • Osmotic computing

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