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_aRichelle Rose R. Alcaide, Saimon C Rumol.
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_aModification of traditional bully algorithm using priority queuing technique applied in CPU memory allocation.
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_c4541346
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_c28 cm.
_aviii, 67 pp.
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_aunmediated
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_aUndergraduate Thesis: (Bachelor of Science in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2024.
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_aABSTRACT: A classic difficulty in distributed system applications is leader election. The Bully Algorithm is a leader-election algorithm that has a straightforward procedure in which every process that is active is listed in the system and selects the one with the highest ID to serve as the coordinator. The Bully Algorithm is observed to have costly consumption of time and memory along with numerous instances of failed nodes receiving data. The study aims to modify the traditional Bully Algorithm to reduce the communication cost, reduce the time consumption, and to minimize the instances of sending data to a failed node when utilizing the algorithm. Priority Queuing will organize active nodes in descending order based on their active status, with the election message sent only to the highest-ranked node in the queue. The study intends to compare the performances of three variations of Bully Algorithm (which are the Traditional Bully Algorithm, the latest enhancement, and the proposed modification) using a simulator that ensures the algorithms share the exact same data set. The findings show that the proposed modification trumps over the latest enhancement only during an increased presence of inactive nodes in the distributed system. In return, the latest enhancement trumps over the proposed modification when there are little to no presence of inactive nodes. The study has successfully modified the traditional Bully Algorithm using Priority Queuing to reduce these aforementioned issues when utilizing the algorithm. This improved algorithm can efficiently coordinate resource management in cloud computing environments, facilitate data replication, and coordinate consensus mechanisms in blockchain networks.
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