PENINGKATAN KINERJA SISTEM MULTI AGEN DENGAN OPTIMALISASI ALOKASI BEBAN

Muhammad Rizka

Sari


ABSTRAK

 

Sistem multi agen merupakan sekumpulan agen yang saling berinteraksi dan berkomunikasi untuk melaksanakan suatu tujuan tertentu. Setiap agen akan melakukan kolaborasi dan berkoordinasi untuk meyelesaikan suatu job yang diberikan. Dalam menangani job yang didistribusikan oleh sistem ke setiap agen dapat saja terjadi ketidakseimbangan workload diantara agen-agen. Load balancing merupakan sebuah solusi ketika ketidakseimbangan workload terjadi. Sistem multi agen yang diusulkan merupakan metode load balancing yang dapat mengalokasikan workload ke setiap agen secara dinamis. Sistem multi agen terdiri dari agent worker yang bertugas dalam melakukan eksekusi job dan agent monitor yang bertanggung jawab dalam mengawasi kondisi agent worker dan mengalokasikan job kesetiap agent worker. Load balancing system dilakukan dengan pertimbangan tiga parameter yaitu kondisi load agent worker, antrian job agent worker dan penggunaan daya komputasi komputer dimana agent worker berada. Studi kasus yang diterapkan pada penelitian ini adalah enkripsi data dengan menggunakan algoritma AES (Advanced Encryption Standard). Hasil pengujian menunjukkan bahwa metode Distribusi Dinamis Berbasis Alokasi (DDBAB) Beban dapat meningkatkan kinerja sistem multi agen mencapai 37.85% dibandingkan dengan Distribusi Uniform (DU).

 

Kata Kunci: Sistem Multi Agen, Alokasi Beban, Komunikasi Agen, Enkripsi Data, AES.

 

ABSTRACT

 

Multi-agent system is a set of agents that interact and communicate to accomplish a specific purpose. Each agency will collaborate and coordinate to settle a given job. In dealing with jobs that are distributed by the system to each agent may be an imbalance of workload among agents. Load balancing is a solution when the workload imbalance occurs. The proposed multi-agent system is a load balancing method to allocate the workload to each agent dynamically. Multi-agent systems consist of a worker agent in charge of doing the job execution and monitor agent who is responsible for overseeing state worker agent and allocate jobs to each agent worker. Load balancing system is done with consideration of the three parameters, namely the condition of load agent worker, job queue worker agent and the use of computing power the computer where the agent is located worker. The case studies were applied in this research is data encryption algorithms using AES (Advanced Encryption Standard). The test results showed that the method of Dynamic Distribution Based Allocation (DDBAB) Expenses can improve system performance multi agency reached 37.85% compared to the Uniform Distribution (DU).

 

Keywords: Multi-Agent Systems, Allocation Load, Communications Agent, Data Encryption, AES

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Referensi


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