Load balancing in distributed multi-agent computing systems

Metawei, Maha A.; Ghoneim, Salma A.; Haggag, Sahar M.; Nassar, Salwa M.

doi:10.1016/j.asej.2012.03.001

Cited by 13 publications

(11 citation statements)

References 16 publications

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“…Multi agent system merupakan sebuah perangkat lunak berbasis sistem terdistribusi menggunakan agent dengan kemampuan khusus dan autonomous (mandiri) pada sebuah jaringan [3]. Software agent akan terus-menerus melakukan tugas yang telah diberikan oleh pengguna dalam lingkungan khusus [7].…”

Section: Pendahuluanunclassified

“…Nilai median atau nilai tengah diketahui dengan menggunakan (3). Nilai median diketahui dengan nilai waktu respons (t) ke banyaknya request (n) dibagi dua ditambah dengan nilai waktu respons setelahnya.…”

Section: F Metode Testunclassified

“…Load balancing yang berfokus pada lingkungan cloud computing dengan menggunakan agent telah dianalisis pada sebuah penelitian [6]. Metode load balancing menggunakan multi agent system dapat menciptakan sistem yang andal dan efisien.Multi agent system merupakan sebuah perangkat lunak berbasis sistem terdistribusi menggunakan agent dengan kemampuan khusus dan autonomous (mandiri) pada sebuah jaringan [3]. Software agent akan terus-menerus melakukan tugas yang telah diberikan oleh pengguna dalam lingkungan khusus [7].…”

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Sistem Load Balancing Menggunakan Least Time First Byte dan Multi Agent System

Afriansyah¹,

Somantri²,

Riyadi³

2017

Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI)

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Abstract-Network activity has increased in every year due to rapid growth of internet users. This phenomenon eventually increases the load server. The high load on server makes server down. The proposed system to handle the issue is using Least Time First-Byte algorithm and multi-agent system in distributed load balancing. The agent collects information resources on the backend servers and communicates with the agents. The Least Time First-Byte algorithm is then combined with the information resources from the agent, called as Least Time First Byte with Multi Agent System (LFB-MAS). The simulation results show that LFB-MAS performs load balance efficiently to all server and provides better performance. The LFB-MAS can process 100% from the 1,800 requests, whereas WLC algorithm is only capable of processing 74.50% from 1,800 requests and LFB without agent is only capable of processing 75.61% from 1,800 requests. The results prove that LFB-MAS can handle high tasks or requests and is reliable.Intisari-Lalu lintas jaringan meningkat setiap tahunnya dikarenakan cepatnya peningkatan pengguna internet. Hal ini dapat meningkatkan beban kerja server. Beban yang tinggi pada server akan menyebabkan server menjadi down. Metode yang diajukan untuk menangani masalah tersebut adalah dengan load balancing terdistribusi menggunakan algoritme least time firstbyte dan multi agent system. Agent akan mengumpulkan informasi dan dapat berkomunikasi antar agent sesuai tugas yang diberikan. Metode load balancing yang diajukan dapat disebut dengan Least Time First Byte with Multi Agent System (LFB-MAS). Berdasarkan data yang diperoleh pada hasil pengujian, metode WLC hanya mampu memproses sekitar 74,50% dari 1.800 request dan LFB tanpa menggunakan agent hanya mampu memproses 75,61% dari 1.800 request. Metode LFB-MAS dapat memproses 100% dari semua request atau 1.800 request yang diberikan. Hal ini menunjukkan bahwa LFB-MAS dapat melakukan sistem load balancing dengan efisien ke seluruh server backend yang tersedia dengan hasil yang lebih baik, tidak ada bottleneck, low risk server overload, dan andal.Kata Kunci--Andal, server, JADE, multi agent system, load balancing. I. PENDAHULUANServer menjadi hal yang sangat penting dan diperlukan pada era teknologi saat ini. Server menjadi pusat pelayanan dari seluruh pengguna. Server itu sendiri merupakan sebuah sistem komputer dengan spesifikasi sumber daya yang sangat tinggi daripada komputer umumnya dan bertugas menyediakan jenis layanan tertentu serta pengolah data yang sangat kompleks dan besar. Semakin banyak pengguna, maka semakin kompleks juga infrastruktur server yang dibangun. Infrastruktur server yang dibangun harus dapat menampung sejumlah request yang datang dari para penggunanya. Load server akan tinggi seiring dengan banyaknya penggunaan layanan yang disediakan oleh server. Beban server yang tinggi mengakibatkan kecepatan proses menurun dan bisa membuat server berhenti bekerja. Berdasarkan masalah tersebut, diperlukan teknologi yang sesuai untuk dapat mengatasi permasalahan ini. Sis...

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Section: Pendahuluanunclassified

Section: F Metode Testunclassified

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Sistem Load Balancing Menggunakan Least Time First Byte dan Multi Agent System

Afriansyah¹,

Somantri²,

Riyadi³

2017

Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI)

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“…Agents may be holding different resources, have different skills and expertise, and can perform different tasks to maximise their resource utilisation and improve the overall system performance. In this manner, multi-agent frameworks can be seen as resembling a human society where every agent has its own particular objective and works with different agents to perform tasks and accomplish individual and collective goals [2].…”

Section: Introductionmentioning

confidence: 99%

Deploying Self-Organisation to Improve Task Execution in a Multi-Agent Systems

Al-Karkhi¹,

Fasli²

2017

2017 3rd IEEE International Conference on Cybernetics (CYBCONF)

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Abstract-This paper discusses how the performance of a network of agents can be improved using a self-organisation technique. The multi-agent network performance can be improved by organizing the agents in clusters. Furthermore, principles of self-organisation can be used to create agent organisations triggered when some of the agents have high load. Hence, busy agents within the network may decide to create an organisation to receive extra support from other less busy agents in order to execute more tasks. The paper presents a simulation based on Repast Simphony that has been used to develop the proposed model and describes a set of experiments showing the performance of the system with and without the self-organisation technique.

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“…Load balancing method using a multi-agent system can make reliable and efficient system. Multi-agent system is a software-based distributed system using the agent with special abilities and autonomous (independent) on a network [3]. Software agents will continuously perform tasks that have been assigned by the user in a specific environment [7].…”

Section: Introductionmentioning

confidence: 99%

Model of load balancing using reliable algorithm with multi-agent system

Afriansyah

Somantri

Riyadi

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. Massive technology development is linear with the growth of internet users which increase network traffic activity. It also increases load of the system. The usage of reliable algorithm and mobile agent in distributed load balancing is a viable solution to handle the load issue on a large-scale system. Mobile agent works to collect resource information and can migrate according to given task. We propose reliable load balancing algorithm using least time first byte (LFB) combined with information from the mobile agent. In system overview, the methodology consisted of defining identification system, specification requirements, network topology and design system infrastructure. The simulation method for simulated system was using 1800 request for 10 s from the user to the server and taking the data for analysis. Software simulation was based on Apache Jmeter by observing response time and reliability of each server and then compared it with existing method. Results of performed simulation show that the LFB method with mobile agent can perform load balancing with efficient systems to all backend server without bottleneck, low risk of server overload, and reliable.

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Load balancing in distributed multi-agent computing systems

Cited by 13 publications

References 16 publications

Sistem Load Balancing Menggunakan Least Time First Byte dan Multi Agent System

Sistem Load Balancing Menggunakan Least Time First Byte dan Multi Agent System

Deploying Self-Organisation to Improve Task Execution in a Multi-Agent Systems

Model of load balancing using reliable algorithm with multi-agent system

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