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Ghusoon Idan Arb,
Comparing Resources Distribution Techniques in Cloud Computing to Improve Quality of Service.
Int. J. Math. Comput. Sci., 20, no. 2, (2025), 475-480

DOI:

https://doi.org/10.69793/ijmcs/02.2025/arb

Keywords and phrases:

Cloud Computing, Cloud Broker Polices, Cloud Data Analytics, QoS.

Abstract:

The Resources Distribution Approach is considered a major issue for enhancing quality of service (QoS) in data centers. It helps in achieving the goals for resources cost by getting a proper balance of conflicting requests. Resources distribution should also be performed among various data centers to get the shortest acceptable time required to honor requests from clients. In this paper, we compare distribution resources techniques that aim to enhance QoS parameters like the average reply time (ART), average server processing time (ASPT) and cost of virtual machine (VM). We use three of resources distribution techniques: Closest Data Center (CDC), Optimal Replay Time (ORT), and Reconfigure Dynamically (RD). We study the activity of resource distribution techniques based on acceptable metrics and examined their drawbacks. Our main goal is to analyze broker policies that help cloud customers to improve QoS and reduce the load of requests for the tasks in the network.