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In recent years, real-time and big data aroused and received a lot of attention due to the spread of embedded systems in almost everything in life. This has led to many challenges that need to be solved to enhance and improve systems that work on big real-time data. Apache Storm is a system used for computing and analyzing big real-time data of distributed systems. This paper aims to develop a scheduler to improve the scheduling of the applications represented by topologies on the Stormdoi:10.14569/ijacsa.2022.0130175 fatcat:6klrxvftgzcm3eh22yi3ud4nj4