1 publication

• Published Subscription Review Article 30 Apr 2026

  Adaptive Task Scheduling And Resource Optimization Using Ai Middleware

  By Pratik Danodia, Kamlesh Lakhwani, Bhavna Sharma

  Abstract: Modern distributed and heterogeneous computing systems face significant challenges in dealing with dynamically changing workloads, resource fragmentation, and changing latencies; existing traditional, or rule-based, schedulers are no longer useful in achieving the best system performance. Such limitations highlight the importance of the adaptive scheduling paradigms that are able to learn, to forecast and reaction to the real red conditions in the system. The middleware of artificial-intelligence is also an attractive …

  Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article →