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An Adaptive Load Balancing Approach in Distributed Computing Using Genetic Theory

  • Conference paper
Parallel and Distributed Computing: Applications and Technologies (PDCAT 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3320))

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Abstract

In sender-initiated load balancing algorithms, the sender continues to send unnecessary request messages for load transfer until a receiver is found while the system load is heavy. Meanwhile, in the receiver-initiated load balancing algorithms, the receiver continues to send an unnecessary request message for load acquisition until a sender is found while the system load is low. These unnecessary request messages result in inefficient communications, low CPU utilization, and low system throughput in distributed systems. To solve these problems, we propose a genetic based approach for improved sender-initiated and receiver-initiated load balancing in distributed systems.

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References

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Author information

Authors and Affiliations

  1. Division of Information and Communication Engineering, Cheonan University, 115, Anseo-dong, Cheonan, Choongnam, Republic of Korea

    SeongHoon Lee

  2. Department of Computer Engineering, WooSong University, 17-2, Jayang-dong, Dong-ku, Daejeon, Republic of Korea

    DongWoo Lee

  3. School of Information Technology & Engineering, Jeonju University, 1200, 3rd Street Hyoja-Dong Wansan-Koo JeonJu, Chonbuk, Republic of Korea

    WanKwon Lee & HyunJoon Cho

Authors
  1. SeongHoon Lee
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  2. DongWoo Lee
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  3. WanKwon Lee
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  4. HyunJoon Cho
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Editor information

Editors and Affiliations

  1. Nanyang Centre for Supercomputing and Visualisation School of Mechanical and Production Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639 798, Singapore

    Kim-Meow Liew

  2. School of Computer Science, The University of Adelaide,  

    Hong Shen

  3. Asia Pacific Science and Technology Center, Sun Microsystems Inc., 50 Nanyang Avenue, N3-1c-10, 639798, Singapore

    Simon See

  4. School of Computer Engineering, Nanyang Technological University, 639798, Singapore

    Wentong Cai

  5. Southwest Jiaotong University,  

    Pingzhi Fan

  6. Tohoku University ,  

    Susumu Horiguchi

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© 2004 Springer-Verlag Berlin Heidelberg

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Lee, S., Lee, D., Lee, W., Cho, H. (2004). An Adaptive Load Balancing Approach in Distributed Computing Using Genetic Theory. In: Liew, KM., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S. (eds) Parallel and Distributed Computing: Applications and Technologies. PDCAT 2004. Lecture Notes in Computer Science, vol 3320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30501-9_68

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  • DOI: https://doi.org/10.1007/978-3-540-30501-9_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24013-6

  • Online ISBN: 978-3-540-30501-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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