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, specialized schedulers are no longer useful in achieving the best system performance. Such limitations highlight the importance of the adaptive scheduling paradigms that can learn, forecast, and react to the actual real-world conditions in the system. Artificial intelligence middleware is also an attractive solution to this …

  Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 23–31 Read article →