A self-routing load balancing algorithm in parallel computing： comparison to the central algorithm
Load balancing is an important stage of a system using parallel computing where the aim is the balance of workload among all processors of the system. In this paper, we introduce a new load balancing algorithm with new capabilities for parallel systems, among which is the independence of a separate...
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| Published in | Frontiers of information technology & electronic engineering Vol. 12; no. 6; pp. 455 - 463 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Heidelberg
SP Zhejiang University Press
01.06.2011
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1869-1951 2095-9184 1869-196X 2095-9230 |
| DOI | 10.1631/jzus.C1000211 |
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| Abstract | Load balancing is an important stage of a system using parallel computing where the aim is the balance of workload among all processors of the system. In this paper, we introduce a new load balancing algorithm with new capabilities for parallel systems, among which is the independence of a separate route-finder algorithm between the load receiver and sender nodes. In addition to simulation of the new algorithm, due to similarity in behavior to the proposed algorithm, the central algorithm is simulated. Simulation results show that, the system performance increases with the increase of the degree of neighborhood be- tween the processors. These results also indicate the algorithm＇s high compatibility with environment changes. |
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| AbstractList | Load balancing is an important stage of a system using parallel computing where the aim is the balance of workload among all processors of the system. In this paper, we introduce a new load balancing algorithm with new capabilities for parallel systems, among which is the independence of a separate route-finder algorithm between the load receiver and sender nodes. In addition to simulation of the new algorithm, due to similarity in behavior to the proposed algorithm, the central algorithm is simulated. Simulation results show that, the system performance increases with the increase of the degree of neighborhood between the processors. These results also indicate the algorithm's high compatibility with environment changes. Load balancing is an important stage of a system using parallel computing where the aim is the balance of workload among all processors of the system. In this paper, we introduce a new load balancing algorithm with new capabilities for parallel systems, among which is the independence of a separate route-finder algorithm between the load receiver and sender nodes. In addition to simulation of the new algorithm, due to similarity in behavior to the proposed algorithm, the central algorithm is simulated. Simulation results show that, the system performance increases with the increase of the degree of neighborhood be- tween the processors. These results also indicate the algorithm＇s high compatibility with environment changes. |
| Author | Razieh Sadat SADJADY Kamran ZAMANIFAR |
| AuthorAffiliation | Department of Computer Engineering, Islamic Azad University, Najafabad Branch, Isfahan, Iran |
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| Cites_doi | 10.1016/S0167-8191(98)00049-0 10.1080/10637190310001603630 10.1109/71.577261 10.1109/ADCOM.2006.4289856 10.1109/TPDS.2004.10 10.1109/ICCSN.2010.27 |
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| Notes | Parallel computing, Load balancing, Distributed system Load balancing is an important stage of a system using parallel computing where the aim is the balance of workload among all processors of the system. In this paper, we introduce a new load balancing algorithm with new capabilities for parallel systems, among which is the independence of a separate route-finder algorithm between the load receiver and sender nodes. In addition to simulation of the new algorithm, due to similarity in behavior to the proposed algorithm, the central algorithm is simulated. Simulation results show that, the system performance increases with the increase of the degree of neighborhood be- tween the processors. These results also indicate the algorithm＇s high compatibility with environment changes. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23 |
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| References | Fonlupt, C., Marquet, P., Dekeyser, J., 1995. Analysis of Synchronous Dynamic Load Balancing Algorithms. In: Parallel Computing: State-of-the-Art Perspective Advances in Parallel Computing, p.1–8. OsmanA.AmmarH.Dynamic load balancing strategies for parallel computersSci. Ann. J. Cuza Univ.200211110120 GiustiA.D.NaioufM.GiustiL.D.ChichizolaF.Dynamic load balancing in parallel processing on non-homogeneous clustersJ. Comput. Sci. Technol.200554272278 Lai, A., Shieh, C., Ueng, J., Kok, Y., Kung, L., 1997. Load Balancing in Software Distributed Shared Memory Systems. IEEE Int. Performance, Computing, and Communications Conf., p.152–158. WuM.On runtime parallel scheduling for processor load balancingIEEE Trans. Parall. Distr. Syst.19978217318610.1109/71.577261 LegrandA.RenardH.RobertY.VivienF.Mapping and load-balancing iterative computationsIEEE Trans. Parall. Distr. Syst.200415654655810.1109/TPDS.2004.10 de RondeJ.F.SchoneveldA.SlootP.M.A.FlorasN.ReeveJ.Load balancing by redundant decomposition and mappingLNCS19961067555561 Zamanifar, K., Nematbakhsh, N., Sadjady, R.S., 2010. A New Load Balancing Algorithm in Parallel Computing. 2nd Int. Conf. on Communication Software and Networks, p.449–453. [doi:10.1109/ICCSN.2010.27] Lüling, R., Monien, B., Ramme, F., 1991. A Study on Dynamic Load Balancing Algorithms. Proc. 3rd IEEE SPDP, p.686–689. Chhabra, A., Singh, G., Waraich, E., Sidhu, B., Kumar, G., 2006. Qualitative Parametric Comparison of Load Balancing Algorithms in Parallel and Distributed Computing Environment. Proc. World Academy of Science, Engineering and Technology, p.39–42. Borovska, P., Lazarova, M., 2007. Token-Based Adaptive Load Balancing for Dynamically Parallel Computations on Multicomputer Platforms. Int. Conf. on Computer Systems and Technologies, p.31–36. [doi:10.1145/1330 598.1330611] Kuchen, H., Wagener, A., 1990. Comparison of Dynamic Load Balancing Strategies. Technical Report, RWTH Aachen, Department of Computer Science, Aachener Informatik-Berichte (AIB). Berger, E., Browne, J., 1999. Scalable Load Distribution and Load Balancing for Dynamic Parallel Programs. Proc. Int. Workshop on Cluster-Based Computing, p.1–5. CruzF.R.B.MateusG.R.Parallel algorithms for a multi-level network optimization problemParall. Algor. Appl.200318312113720561501083.68644 Garcia, T., Semé, D., 2006. A Load Balancing Technique for Some Coarse-Grained Multicomputer Algorithms. 21st Int. Conf. on Computers and Their Applications, p.301–306. GramaA.GuptaA.KarypisG.KumarV.Introduction to Parallel Computing20032nd Ed.USAAddison Wesley FonluptC.MarquetP.DekeyserJ.Data-parallel load balancing strategiesParall. Comput.199624111665168410.1016/S0167-8191(98)00049-0 C. Fonlupt (1219_CR7) 1996; 24 1219_CR12 1219_CR11 1219_CR17 A.D. Giusti (1219_CR9) 2005; 5 1219_CR14 1219_CR8 1219_CR6 1219_CR3 1219_CR1 1219_CR2 F.R.B. Cruz (1219_CR4) 2003; 18 J.F. Ronde de (1219_CR5) 1996; 1067 A. Grama (1219_CR10) 2003 A. Osman (1219_CR15) 2002; 11 A. Legrand (1219_CR13) 2004; 15 M. Wu (1219_CR16) 1997; 8 |
| References_xml | – reference: WuM.On runtime parallel scheduling for processor load balancingIEEE Trans. Parall. Distr. Syst.19978217318610.1109/71.577261 – reference: LegrandA.RenardH.RobertY.VivienF.Mapping and load-balancing iterative computationsIEEE Trans. Parall. Distr. Syst.200415654655810.1109/TPDS.2004.10 – reference: GramaA.GuptaA.KarypisG.KumarV.Introduction to Parallel Computing20032nd Ed.USAAddison Wesley – reference: Kuchen, H., Wagener, A., 1990. Comparison of Dynamic Load Balancing Strategies. Technical Report, RWTH Aachen, Department of Computer Science, Aachener Informatik-Berichte (AIB). – reference: Chhabra, A., Singh, G., Waraich, E., Sidhu, B., Kumar, G., 2006. Qualitative Parametric Comparison of Load Balancing Algorithms in Parallel and Distributed Computing Environment. Proc. World Academy of Science, Engineering and Technology, p.39–42. – reference: Zamanifar, K., Nematbakhsh, N., Sadjady, R.S., 2010. A New Load Balancing Algorithm in Parallel Computing. 2nd Int. Conf. on Communication Software and Networks, p.449–453. [doi:10.1109/ICCSN.2010.27] – reference: de RondeJ.F.SchoneveldA.SlootP.M.A.FlorasN.ReeveJ.Load balancing by redundant decomposition and mappingLNCS19961067555561 – reference: Fonlupt, C., Marquet, P., Dekeyser, J., 1995. Analysis of Synchronous Dynamic Load Balancing Algorithms. In: Parallel Computing: State-of-the-Art Perspective Advances in Parallel Computing, p.1–8. – reference: FonluptC.MarquetP.DekeyserJ.Data-parallel load balancing strategiesParall. Comput.199624111665168410.1016/S0167-8191(98)00049-0 – reference: CruzF.R.B.MateusG.R.Parallel algorithms for a multi-level network optimization problemParall. Algor. Appl.200318312113720561501083.68644 – reference: Berger, E., Browne, J., 1999. Scalable Load Distribution and Load Balancing for Dynamic Parallel Programs. Proc. Int. Workshop on Cluster-Based Computing, p.1–5. – reference: Borovska, P., Lazarova, M., 2007. Token-Based Adaptive Load Balancing for Dynamically Parallel Computations on Multicomputer Platforms. Int. Conf. on Computer Systems and Technologies, p.31–36. [doi:10.1145/1330 598.1330611] – reference: Lai, A., Shieh, C., Ueng, J., Kok, Y., Kung, L., 1997. Load Balancing in Software Distributed Shared Memory Systems. IEEE Int. Performance, Computing, and Communications Conf., p.152–158. – reference: Garcia, T., Semé, D., 2006. A Load Balancing Technique for Some Coarse-Grained Multicomputer Algorithms. 21st Int. Conf. on Computers and Their Applications, p.301–306. – reference: GiustiA.D.NaioufM.GiustiL.D.ChichizolaF.Dynamic load balancing in parallel processing on non-homogeneous clustersJ. Comput. Sci. Technol.200554272278 – reference: Lüling, R., Monien, B., Ramme, F., 1991. A Study on Dynamic Load Balancing Algorithms. Proc. 3rd IEEE SPDP, p.686–689. – reference: OsmanA.AmmarH.Dynamic load balancing strategies for parallel computersSci. Ann. J. Cuza Univ.200211110120 – ident: 1219_CR2 – volume: 5 start-page: 272 issue: 4 year: 2005 ident: 1219_CR9 publication-title: J. Comput. Sci. Technol. – ident: 1219_CR1 – volume-title: Introduction to Parallel Computing year: 2003 ident: 1219_CR10 – volume: 24 start-page: 1665 issue: 11 year: 1996 ident: 1219_CR7 publication-title: Parall. Comput. doi: 10.1016/S0167-8191(98)00049-0 – ident: 1219_CR14 – ident: 1219_CR12 – ident: 1219_CR11 – volume: 18 start-page: 121 issue: 3 year: 2003 ident: 1219_CR4 publication-title: Parall. Algor. Appl. doi: 10.1080/10637190310001603630 – volume: 1067 start-page: 555 year: 1996 ident: 1219_CR5 publication-title: LNCS – volume: 11 start-page: 110 year: 2002 ident: 1219_CR15 publication-title: Sci. Ann. J. Cuza Univ. – volume: 8 start-page: 173 issue: 2 year: 1997 ident: 1219_CR16 publication-title: IEEE Trans. Parall. Distr. Syst. doi: 10.1109/71.577261 – ident: 1219_CR3 doi: 10.1109/ADCOM.2006.4289856 – ident: 1219_CR6 – volume: 15 start-page: 546 issue: 6 year: 2004 ident: 1219_CR13 publication-title: IEEE Trans. Parall. Distr. Syst. doi: 10.1109/TPDS.2004.10 – ident: 1219_CR8 – ident: 1219_CR17 doi: 10.1109/ICCSN.2010.27 |
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| SubjectTerms | Algorithms Communications Engineering Computation Computer Hardware Computer Science Computer simulation Computer Systems Organization and Communication Networks Electrical Engineering Electronics and Microelectronics Instrumentation Load balancing Load balancing (computing) Networks Parallel processing Processors Similarity Simulation |
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