Dynamic energy efficient data placement and cluster reconfiguration algorithm for MapReduce framework
With the recent emergence of cloud computing based services on the Internet, MapReduce and distributed file systems like HDFS have emerged as the paradigm of choice for developing large scale data intensive applications. Given the scale at which these applications are deployed, minimizing power cons...
Saved in:
| Published in: | Future generation computer systems Vol. 28; no. 1; pp. 119 - 127 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
2012
|
| Subjects: | |
| ISSN: | 0167-739X, 1872-7115 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | With the recent emergence of cloud computing based services on the Internet, MapReduce and distributed file systems like HDFS have emerged as the paradigm of choice for developing large scale data intensive applications. Given the scale at which these applications are deployed, minimizing power consumption of these clusters can significantly cut down operational costs and reduce their carbon footprint—thereby increasing the utility from a provider’s point of view. This paper addresses energy conservation for clusters of nodes that run MapReduce jobs. The algorithm dynamically reconfigures the cluster based on the current workload and turns cluster nodes on or off when the average cluster utilization rises above or falls below administrator specified thresholds, respectively. We evaluate our algorithm using the GridSim toolkit and our results show that the proposed algorithm achieves an energy reduction of 33% under average workloads and up to 54% under low workloads.
► Addressed the problem of energy conservation for large datacenters that run MapReduce jobs. ► Proposed an energy efficient data placement and a cluster reconfiguration algorithm. ► Dynamically scale the cluster in accordance with the workload imposed on it. ► The results show energy savings of 54% under low workloads and 33% under average workloads. |
|---|---|
| AbstractList | With the recent emergence of cloud computing based services on the Internet, MapReduce and distributed file systems like HDFS have emerged as the paradigm of choice for developing large scale data intensive applications. Given the scale at which these applications are deployed, minimizing power consumption of these clusters can significantly cut down operational costs and reduce their carbon footprint—thereby increasing the utility from a provider’s point of view. This paper addresses energy conservation for clusters of nodes that run MapReduce jobs. The algorithm dynamically reconfigures the cluster based on the current workload and turns cluster nodes on or off when the average cluster utilization rises above or falls below administrator specified thresholds, respectively. We evaluate our algorithm using the GridSim toolkit and our results show that the proposed algorithm achieves an energy reduction of 33% under average workloads and up to 54% under low workloads.
► Addressed the problem of energy conservation for large datacenters that run MapReduce jobs. ► Proposed an energy efficient data placement and a cluster reconfiguration algorithm. ► Dynamically scale the cluster in accordance with the workload imposed on it. ► The results show energy savings of 54% under low workloads and 33% under average workloads. |
| Author | Nanduri, Radheshyam Maheshwari, Nitesh Varma, Vasudeva |
| Author_xml | – sequence: 1 givenname: Nitesh surname: Maheshwari fullname: Maheshwari, Nitesh email: nitesh.maheshwari@research.iiit.ac.in, nitesh.maheshwari@gmail.com – sequence: 2 givenname: Radheshyam surname: Nanduri fullname: Nanduri, Radheshyam email: radheshyam.nanduri@research.iiit.ac.in – sequence: 3 givenname: Vasudeva surname: Varma fullname: Varma, Vasudeva email: vv@iiit.ac.in |
| BookMark | eNqFkE9LAzEQxYNUsFa_gYd8gV0zm27T9SBI_QsVQRS8hZhMaurupmSzSr-9WevJg56GGd57zPsdklHrWyTkBFgODGan69z2sQ-YFwwgZyJnDPbIGOaiyARAOSLjJBOZ4NXLATnsujVLCsFhTPBy26rGaYothtWWorVOO2wjNSoquqmVxmZYVWuorvsuYqABtW-tW_VBRedbquqVDy6-NdT6QO_V5hFNr5HaoBr89OH9iOxbVXd4_DMn5Pn66mlxmy0fbu4WF8tMczaLGZ9aVpjKaADDVVmBqISwJeqCG_6q0m3KNdpKzzkvdbpwkyrZaiagBFsJPiFnu1wdfNcFtFK7-P1jDMrVEpgcgMm13AGTAzDJhEw4knn6y7wJrlFh-5_tfGfDVOzDYZDdAFCjcYlTlMa7vwO-ABjHjIs |
| CitedBy_id | crossref_primary_10_1007_s10723_016_9370_2 crossref_primary_10_1016_j_compeleceng_2018_08_005 crossref_primary_10_1109_ACCESS_2020_2992748 crossref_primary_10_1007_s10723_018_9432_8 crossref_primary_10_1007_s10723_018_9433_7 crossref_primary_10_1007_s10586_015_0495_z crossref_primary_10_1016_j_future_2024_04_059 crossref_primary_10_1109_TPDS_2017_2723004 crossref_primary_10_1016_j_jclepro_2017_05_151 crossref_primary_10_1007_s00500_019_04079_z crossref_primary_10_1016_S1005_8885_11_60250_1 crossref_primary_10_1109_ACCESS_2015_2490085 crossref_primary_10_1016_j_future_2015_03_010 crossref_primary_10_3390_ijgi5100173 crossref_primary_10_1016_j_future_2013_07_004 crossref_primary_10_1016_j_future_2018_02_041 crossref_primary_10_1016_j_jss_2013_08_018 crossref_primary_10_1007_s10586_014_0346_3 crossref_primary_10_1016_j_future_2014_08_011 crossref_primary_10_1109_TPDS_2014_2358556 crossref_primary_10_1016_j_future_2015_01_005 crossref_primary_10_1016_j_future_2019_10_023 crossref_primary_10_1007_s00500_022_07805_2 crossref_primary_10_1007_s11760_016_0964_8 crossref_primary_10_1016_j_sysarc_2017_07_002 crossref_primary_10_1007_s11761_019_00273_x crossref_primary_10_1007_s11227_014_1219_5 crossref_primary_10_1007_s11277_018_5936_6 crossref_primary_10_1016_j_knosys_2022_109713 crossref_primary_10_1155_2014_926251 crossref_primary_10_3390_app9071417 crossref_primary_10_1109_ACCESS_2021_3064917 crossref_primary_10_1016_j_future_2015_01_011 crossref_primary_10_1007_s11227_016_1653_7 crossref_primary_10_1007_s10586_020_03146_7 crossref_primary_10_1016_j_compeleceng_2016_10_009 crossref_primary_10_1016_j_procs_2014_05_006 crossref_primary_10_1016_j_jnca_2014_10_008 crossref_primary_10_1093_comjnl_bxv062 crossref_primary_10_1007_s11192_016_1945_y crossref_primary_10_1016_j_future_2017_11_010 crossref_primary_10_1155_2012_396387 crossref_primary_10_1016_j_compeleceng_2018_07_007 crossref_primary_10_1016_j_future_2016_03_008 crossref_primary_10_1145_2788402_2788407 crossref_primary_10_1109_TCC_2016_2607738 crossref_primary_10_1109_TPDS_2018_2837743 |
| Cites_doi | 10.1109/CLUSTR.2009.5289182 10.1023/A:1019129116852 10.1109/IPDPSW.2010.5470908 10.1016/j.future.2008.12.001 10.1016/j.jpdc.2005.04.018 10.1145/1165389.945450 10.1109/MC.2007.443 10.1109/CCGRID.2007.85 10.1109/CLUSTR.2008.4663751 10.1093/comjnl/bxp080 10.1002/cpe.710 10.1145/1327452.1327492 10.1109/ISCA.2003.1206998 10.1145/1740390.1740405 |
| ContentType | Journal Article |
| Copyright | 2011 Elsevier B.V. |
| Copyright_xml | – notice: 2011 Elsevier B.V. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.future.2011.07.001 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1872-7115 |
| EndPage | 127 |
| ExternalDocumentID | 10_1016_j_future_2011_07_001 S0167739X1100135X |
| GroupedDBID | --K --M -~X .DC .~1 0R~ 1B1 1~. 1~5 29H 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO AAYFN ABBOA ABFNM ABJNI ABMAC ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADJOM ADMUD AEBSH AEKER AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BKOJK BLXMC CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q G8K GBLVA GBOLZ HLZ HVGLF HZ~ IHE J1W KOM LG9 M41 MO0 MS~ N9A O-L O9- OAUVE OZT P-8 P-9 PC. Q38 R2- RIG ROL RPZ SBC SDF SDG SES SEW SPC SPCBC SSV SSZ T5K UHS WUQ XPP ZMT ~G- 9DU AATTM AAXKI AAYWO AAYXX ABDPE ABWVN ACLOT ACRPL ADNMO AEIPS AFJKZ AGQPQ AIIUN ANKPU APXCP CITATION EFKBS ~HD |
| ID | FETCH-LOGICAL-c306t-34f02d9dc11d3a5917977f5ec23d3bad3a43cef9c8335c3ba3d739f967151f973 |
| ISICitedReferencesCount | 75 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000295947900014&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0167-739X |
| IngestDate | Sat Nov 29 02:59:35 EST 2025 Tue Nov 18 22:35:04 EST 2025 Fri Feb 23 02:34:34 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | Cloud computing Energy efficiency MapReduce |
| Language | English |
| License | https://www.elsevier.com/tdm/userlicense/1.0 |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c306t-34f02d9dc11d3a5917977f5ec23d3bad3a43cef9c8335c3ba3d739f967151f973 |
| PageCount | 9 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_future_2011_07_001 crossref_primary_10_1016_j_future_2011_07_001 elsevier_sciencedirect_doi_10_1016_j_future_2011_07_001 |
| PublicationCentury | 2000 |
| PublicationDate | 2012 2012-1-00 |
| PublicationDateYYYYMMDD | 2012-01-01 |
| PublicationDate_xml | – year: 2012 text: 2012 |
| PublicationDecade | 2010 |
| PublicationTitle | Future generation computer systems |
| PublicationYear | 2012 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Server energy and efficiency report, Tech. Rep., 1E, 2009. Vasić, Barisits, Salzgeber, Kostic (br000095) 2009 Lee, Zomaya (br000150) 2009 Dean, Ghemawat (br000010) 2008; 51 Y. Chen, T.X. Wang, Energy efficiency of MapReduce, 2008. G. von Laszewski, L. Wang, A. Younge, X. He, Power-aware scheduling of virtual machines in DVFS-enabled clusters, in: Cluster Computing and Workshops, 2009. CLUSTER ’09. IEEE International Conference on, 2009, pp. 1–10. Liu, Wang, Liu, Jin, He, Wang, Chen (br000165) 2009 Advanced Configuration and Power Interface (ACPI). Buyya, Murshed (br000030) 2002; 14 Hadoop distributed file system. Apache Hadoop. L. Hu, H. Jin, X. Liao, X. Xiong, H. Liu, Magnet: a novel scheduling policy for power reduction in cluster with virtual machines, in: Cluster Computing, 2008 IEEE International Conference on, 2008, pp. 13–22. S. Gurumurthi, A. Sivasubramaniam, M. Kandemir, H. Franke, DRPM: dynamic speed control for power management in server class disks, in: Computer Architecture, International Symposium on, vol. 0, 2003, p. 169. R. Buyya, A. Beloglazov, J.H. Abawajy, Energy-efficient management of data center resources for cloud computing: a vision, architectural elements, and open challenges. CoRR abs/1006.0308. Leverich, Kozyrakis (br000115) 2010; 44 Milenkovic, Castro-Leon, Blakley (br000175) 2009; vol. 5931 T.V.T. Duy, Y. Sato, Y. Inoguchi, Performance evaluation of a green scheduling algorithm for energy savings in cloud computing, in: Parallel Distributed Processing, Workshops and Ph.D. Forum, IPDPSW, 2010 IEEE International Symposium on, 2010, pp. 1–8. Amazon elastic MapReduce. Helmbold, Long, Sconyers, Sherrod (br000050) 2000; 5 Pérez, Sánchez, Pena, Robles (br000135) 2005; 65 Barroso, Holzle (br000085) 2007; 40 [HDFS-385] Design a pluggable interface to place replicas of blocks in HDFS. M. Weiser, B. Welch, A. Demers, S. Shenker, Scheduling for reduced CPU energy, in: OSDI’94: Proceedings of the 1st USENIX Conference on Operating Systems Design and Implementation, USENIX Association, Berkeley, CA, USA, 1994, p. 2. Ghemawat, Gobioff, Leung (br000090) 2003; 37 K.H. Kim, R. Buyya, J. Kim, Power aware scheduling of bag-of-tasks applications with deadline constraints on DVS-enabled clusters, in: Cluster Computing and the Grid, 2007. CCGRID 2007. Seventh IEEE International Symposium on, 2007, pp. 541–548. Kim, Beloglazov, Buyya (br000180) 2009 Lebeck, Fan, Zeng, Ellis (br000045) 2000 Fan, Weber, Barroso (br000110) 2007 Carrera, Pinheiro, Bianchini (br000060) 2003 . E. Pinheiro, R. Bianchini, E.V. Carrera, T. Heath, Load balancing and unbalancing for power and performance in cluster-based systems, 2001. Pinheiro, Bianchini, Carrera, Heath (br000130) 2004 Rangasamy, Nagpal, Srikant (br000040) 2008 Berl, Gelenbe, DiGirolamo, Giuliani, DeMeer, Dang, Pentikousis (br000160) 2010; 53 EPA Report to Congress on Server and Data Center Energy Efficiency, Tech. Rep., US Environmental Protection Agency, 2007. M. Elnozahy, M. Kistler, R. Rajamony, Energy conservation policies for web servers, in: USITS’03: Proceedings of the 4th Conference on USENIX Symposium on Internet Technologies and Systems, USENIX Association, Berkeley, CA, USA, 2003. Buyya, Yeo, Venugopal, Broberg, Brandic (br000080) 2009; 25 Hsu, Feng (br000155) 2005 Dhok, Maheshwari, Varma (br000070) 2010 Buyya (10.1016/j.future.2011.07.001_br000030) 2002; 14 10.1016/j.future.2011.07.001_br000020 10.1016/j.future.2011.07.001_br000185 10.1016/j.future.2011.07.001_br000065 10.1016/j.future.2011.07.001_br000120 10.1016/j.future.2011.07.001_br000140 Fan (10.1016/j.future.2011.07.001_br000110) 2007 Lebeck (10.1016/j.future.2011.07.001_br000045) 2000 Barroso (10.1016/j.future.2011.07.001_br000085) 2007; 40 Berl (10.1016/j.future.2011.07.001_br000160) 2010; 53 Hsu (10.1016/j.future.2011.07.001_br000155) 2005 10.1016/j.future.2011.07.001_br000035 Ghemawat (10.1016/j.future.2011.07.001_br000090) 2003; 37 10.1016/j.future.2011.07.001_br000055 Vasić (10.1016/j.future.2011.07.001_br000095) 2009 10.1016/j.future.2011.07.001_br000015 Kim (10.1016/j.future.2011.07.001_br000180) 2009 10.1016/j.future.2011.07.001_br000170 Pérez (10.1016/j.future.2011.07.001_br000135) 2005; 65 10.1016/j.future.2011.07.001_br000190 Carrera (10.1016/j.future.2011.07.001_br000060) 2003 10.1016/j.future.2011.07.001_br000075 Pinheiro (10.1016/j.future.2011.07.001_br000130) 2004 Lee (10.1016/j.future.2011.07.001_br000150) 2009 Buyya (10.1016/j.future.2011.07.001_br000080) 2009; 25 Rangasamy (10.1016/j.future.2011.07.001_br000040) 2008 Dhok (10.1016/j.future.2011.07.001_br000070) 2010 Dean (10.1016/j.future.2011.07.001_br000010) 2008; 51 Helmbold (10.1016/j.future.2011.07.001_br000050) 2000; 5 10.1016/j.future.2011.07.001_br000145 10.1016/j.future.2011.07.001_br000025 Milenkovic (10.1016/j.future.2011.07.001_br000175) 2009; vol. 5931 10.1016/j.future.2011.07.001_br000100 10.1016/j.future.2011.07.001_br000105 Liu (10.1016/j.future.2011.07.001_br000165) 2009 10.1016/j.future.2011.07.001_br000125 10.1016/j.future.2011.07.001_br000005 Leverich (10.1016/j.future.2011.07.001_br000115) 2010; 44 |
| References_xml | – reference: E. Pinheiro, R. Bianchini, E.V. Carrera, T. Heath, Load balancing and unbalancing for power and performance in cluster-based systems, 2001. – reference: T.V.T. Duy, Y. Sato, Y. Inoguchi, Performance evaluation of a green scheduling algorithm for energy savings in cloud computing, in: Parallel Distributed Processing, Workshops and Ph.D. Forum, IPDPSW, 2010 IEEE International Symposium on, 2010, pp. 1–8. – volume: 37 start-page: 29 year: 2003 end-page: 43 ident: br000090 article-title: The google file system publication-title: SIGOPS Oper. Syst. Rev. – reference: EPA Report to Congress on Server and Data Center Energy Efficiency, Tech. Rep., US Environmental Protection Agency, 2007. – start-page: 105 year: 2000 end-page: 116 ident: br000045 article-title: Power aware page allocation publication-title: ASPLOS-IX: Proceedings of the Ninth International Conference on Architectural Support for Programming Languages and Operating Systems – reference: Apache Hadoop. – volume: 40 start-page: 33 year: 2007 end-page: 37 ident: br000085 article-title: The case for energy-proportional computing publication-title: Computer – volume: 25 start-page: 599 year: 2009 end-page: 616 ident: br000080 article-title: Cloud computing and emerging it platforms: vision, hype, and reality for delivering computing as the 5th utility publication-title: Future Gener. Comput. Syst. – start-page: 13 year: 2007 end-page: 23 ident: br000110 article-title: Power provisioning for a warehouse-sized computer publication-title: ISCA’07: Proceedings of the 34th Annual International Symposium on Computer Architecture – reference: Amazon elastic MapReduce. – reference: Y. Chen, T.X. Wang, Energy efficiency of MapReduce, 2008. – reference: L. Hu, H. Jin, X. Liao, X. Xiong, H. Liu, Magnet: a novel scheduling policy for power reduction in cluster with virtual machines, in: Cluster Computing, 2008 IEEE International Conference on, 2008, pp. 13–22. – volume: 53 start-page: 1045 year: 2010 end-page: 1051 ident: br000160 article-title: Energy-efficient cloud computing publication-title: Comput. J. – reference: [HDFS-385] Design a pluggable interface to place replicas of blocks in HDFS. – volume: 44 start-page: 61 year: 2010 end-page: 65 ident: br000115 article-title: On the energy (in)efficiency of hadoop clusters publication-title: SIGOPS Oper. Syst. Rev. – reference: Hadoop distributed file system. – reference: R. Buyya, A. Beloglazov, J.H. Abawajy, Energy-efficient management of data center resources for cloud computing: a vision, architectural elements, and open challenges. CoRR abs/1006.0308. – start-page: 86 year: 2003 end-page: 97 ident: br000060 article-title: Conserving disk energy in network servers publication-title: ICS’03: Proceedings of the 17th Annual International Conference on Supercomputing – volume: 14 start-page: 1175 year: 2002 end-page: 1220 ident: br000030 article-title: Gridsim: a toolkit for the modeling and simulation of distributed resource management and scheduling for grid computing publication-title: Concurr. Comput. Pract. Exp. – volume: 65 start-page: 1134 year: 2005 end-page: 1145 ident: br000135 article-title: A new formalism for dynamic reconfiguration of data servers in a cluster publication-title: J. Parallel Distrib. Comput. – volume: 5 start-page: 285 year: 2000 end-page: 297 ident: br000050 article-title: Adaptive disk spin-down for mobile computers publication-title: Mobile Netw. Appl. – start-page: 1 year: 2009 end-page: 6 ident: br000180 article-title: Power-aware provisioning of cloud resources for real-time services publication-title: MGC’09: Proceedings of the 7th International Workshop on Middleware for Grids, Clouds and e-Science – reference: G. von Laszewski, L. Wang, A. Younge, X. He, Power-aware scheduling of virtual machines in DVFS-enabled clusters, in: Cluster Computing and Workshops, 2009. CLUSTER ’09. IEEE International Conference on, 2009, pp. 1–10. – start-page: 92 year: 2009 end-page: 99 ident: br000150 article-title: Minimizing energy consumption for precedence-constrained applications using dynamic voltage scaling publication-title: CCGRID’09: Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid – volume: vol. 5931 start-page: 668 year: 2009 end-page: 673 ident: br000175 article-title: Power-aware management in cloud data centers publication-title: Cloud Computing – start-page: 29 year: 2009 end-page: 38 ident: br000165 article-title: Greencloud: a new architecture for green data center publication-title: ICAC-INDST’09: Proceedings of the 6th International Conference Industry Session on Autonomic Computing and Communications Industry Session – reference: M. Elnozahy, M. Kistler, R. Rajamony, Energy conservation policies for web servers, in: USITS’03: Proceedings of the 4th Conference on USENIX Symposium on Internet Technologies and Systems, USENIX Association, Berkeley, CA, USA, 2003. – start-page: 153 year: 2010 end-page: 160 ident: br000070 article-title: Learning based opportunistic admission control algorithm for MapReduce as a service publication-title: ISEC’10: Proceedings of the 3rd India Software Engineering Conference – reference: M. Weiser, B. Welch, A. Demers, S. Shenker, Scheduling for reduced CPU energy, in: OSDI’94: Proceedings of the 1st USENIX Conference on Operating Systems Design and Implementation, USENIX Association, Berkeley, CA, USA, 1994, p. 2. – volume: 51 start-page: 107 year: 2008 end-page: 113 ident: br000010 article-title: Mapreduce: simplified data processing on large clusters publication-title: Commun. ACM – start-page: 1 year: 2005 ident: br000155 article-title: A power-aware run-time system for high-performance computing publication-title: SC’05: Proceedings of the 2005 ACM/IEEE Conference on Supercomputing – year: 2004 ident: br000130 article-title: Dynamic cluster reconfiguration for power and performance publication-title: Power and Energy Management for Server Systems – start-page: 37 year: 2009 end-page: 42 ident: br000095 article-title: Making cluster applications energy-aware publication-title: ACDC’09: Proceedings of the 1st Workshop on Automated Control for Datacenters and Clouds – start-page: 209 year: 2008 end-page: 218 ident: br000040 article-title: Compiler-directed frequency and voltage scaling for a multiple clock domain microarchitecture publication-title: CF’08: Proceedings of the 5th Conference on Computing Frontiers – reference: K.H. Kim, R. Buyya, J. Kim, Power aware scheduling of bag-of-tasks applications with deadline constraints on DVS-enabled clusters, in: Cluster Computing and the Grid, 2007. CCGRID 2007. Seventh IEEE International Symposium on, 2007, pp. 541–548. – reference: Server energy and efficiency report, Tech. Rep., 1E, 2009. – reference: . – reference: Advanced Configuration and Power Interface (ACPI). – reference: S. Gurumurthi, A. Sivasubramaniam, M. Kandemir, H. Franke, DRPM: dynamic speed control for power management in server class disks, in: Computer Architecture, International Symposium on, vol. 0, 2003, p. 169. – ident: 10.1016/j.future.2011.07.001_br000185 doi: 10.1109/CLUSTR.2009.5289182 – ident: 10.1016/j.future.2011.07.001_br000125 – start-page: 153 year: 2010 ident: 10.1016/j.future.2011.07.001_br000070 article-title: Learning based opportunistic admission control algorithm for MapReduce as a service – ident: 10.1016/j.future.2011.07.001_br000100 – volume: 5 start-page: 285 year: 2000 ident: 10.1016/j.future.2011.07.001_br000050 article-title: Adaptive disk spin-down for mobile computers publication-title: Mobile Netw. Appl. doi: 10.1023/A:1019129116852 – ident: 10.1016/j.future.2011.07.001_br000190 – ident: 10.1016/j.future.2011.07.001_br000020 – ident: 10.1016/j.future.2011.07.001_br000005 – start-page: 209 year: 2008 ident: 10.1016/j.future.2011.07.001_br000040 article-title: Compiler-directed frequency and voltage scaling for a multiple clock domain microarchitecture – ident: 10.1016/j.future.2011.07.001_br000140 doi: 10.1109/IPDPSW.2010.5470908 – start-page: 29 year: 2009 ident: 10.1016/j.future.2011.07.001_br000165 article-title: Greencloud: a new architecture for green data center – ident: 10.1016/j.future.2011.07.001_br000075 – start-page: 92 year: 2009 ident: 10.1016/j.future.2011.07.001_br000150 article-title: Minimizing energy consumption for precedence-constrained applications using dynamic voltage scaling – volume: vol. 5931 start-page: 668 year: 2009 ident: 10.1016/j.future.2011.07.001_br000175 article-title: Power-aware management in cloud data centers – ident: 10.1016/j.future.2011.07.001_br000035 – volume: 25 start-page: 599 issue: 6 year: 2009 ident: 10.1016/j.future.2011.07.001_br000080 article-title: Cloud computing and emerging it platforms: vision, hype, and reality for delivering computing as the 5th utility publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2008.12.001 – volume: 65 start-page: 1134 issue: 10 year: 2005 ident: 10.1016/j.future.2011.07.001_br000135 article-title: A new formalism for dynamic reconfiguration of data servers in a cluster publication-title: J. Parallel Distrib. Comput. doi: 10.1016/j.jpdc.2005.04.018 – start-page: 86 year: 2003 ident: 10.1016/j.future.2011.07.001_br000060 article-title: Conserving disk energy in network servers – volume: 37 start-page: 29 issue: 5 year: 2003 ident: 10.1016/j.future.2011.07.001_br000090 article-title: The google file system publication-title: SIGOPS Oper. Syst. Rev. doi: 10.1145/1165389.945450 – start-page: 1 year: 2009 ident: 10.1016/j.future.2011.07.001_br000180 article-title: Power-aware provisioning of cloud resources for real-time services – start-page: 1 year: 2005 ident: 10.1016/j.future.2011.07.001_br000155 article-title: A power-aware run-time system for high-performance computing – volume: 40 start-page: 33 issue: 12 year: 2007 ident: 10.1016/j.future.2011.07.001_br000085 article-title: The case for energy-proportional computing publication-title: Computer doi: 10.1109/MC.2007.443 – ident: 10.1016/j.future.2011.07.001_br000145 doi: 10.1109/CCGRID.2007.85 – ident: 10.1016/j.future.2011.07.001_br000025 – start-page: 105 year: 2000 ident: 10.1016/j.future.2011.07.001_br000045 article-title: Power aware page allocation – ident: 10.1016/j.future.2011.07.001_br000170 doi: 10.1109/CLUSTR.2008.4663751 – volume: 53 start-page: 1045 issue: 7 year: 2010 ident: 10.1016/j.future.2011.07.001_br000160 article-title: Energy-efficient cloud computing publication-title: Comput. J. doi: 10.1093/comjnl/bxp080 – year: 2004 ident: 10.1016/j.future.2011.07.001_br000130 article-title: Dynamic cluster reconfiguration for power and performance – start-page: 37 year: 2009 ident: 10.1016/j.future.2011.07.001_br000095 article-title: Making cluster applications energy-aware – ident: 10.1016/j.future.2011.07.001_br000055 – volume: 14 start-page: 1175 year: 2002 ident: 10.1016/j.future.2011.07.001_br000030 article-title: Gridsim: a toolkit for the modeling and simulation of distributed resource management and scheduling for grid computing publication-title: Concurr. Comput. Pract. Exp. doi: 10.1002/cpe.710 – start-page: 13 year: 2007 ident: 10.1016/j.future.2011.07.001_br000110 article-title: Power provisioning for a warehouse-sized computer – ident: 10.1016/j.future.2011.07.001_br000120 – volume: 51 start-page: 107 issue: 1 year: 2008 ident: 10.1016/j.future.2011.07.001_br000010 article-title: Mapreduce: simplified data processing on large clusters publication-title: Commun. ACM doi: 10.1145/1327452.1327492 – ident: 10.1016/j.future.2011.07.001_br000105 – ident: 10.1016/j.future.2011.07.001_br000015 – ident: 10.1016/j.future.2011.07.001_br000065 doi: 10.1109/ISCA.2003.1206998 – volume: 44 start-page: 61 issue: 1 year: 2010 ident: 10.1016/j.future.2011.07.001_br000115 article-title: On the energy (in)efficiency of hadoop clusters publication-title: SIGOPS Oper. Syst. Rev. doi: 10.1145/1740390.1740405 |
| SSID | ssj0001731 |
| Score | 2.3135536 |
| Snippet | With the recent emergence of cloud computing based services on the Internet, MapReduce and distributed file systems like HDFS have emerged as the paradigm of... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 119 |
| SubjectTerms | Cloud computing Energy efficiency MapReduce |
| Title | Dynamic energy efficient data placement and cluster reconfiguration algorithm for MapReduce framework |
| URI | https://dx.doi.org/10.1016/j.future.2011.07.001 |
| Volume | 28 |
| WOSCitedRecordID | wos000295947900014&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1872-7115 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001731 issn: 0167-739X databaseCode: AIEXJ dateStart: 19950201 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lj9MwELZKlwMX3ojlJR-4VUFx3NTxcQW7AsRWaFlWvUWuY2-76martinLf-HHMmM7bkURL4lLVDlxk3q-eh6Z-YaQl2OVC50zDIFxm4CG6CdyLHSiXRJGyu3AdVE4-yCGw2I0kh87nW9tLcx6Juq6uL6W8_8qahgDYWPp7F-IO34pDMBnEDocQexw_CPBv_E95nvGV_UZxxGBb_wxGbTncrBiYrmeNUiU0HNusZ2eNwEPanZ-tZiuJpcuC_FYzU-Q4dX0bJvKtW3THjlaEuzFbMJ0HVpFBJ7oaLYfq4lZTr4oX90-BGt3uYlGw_M0_sSJqvC6r-qyPXmGgXeXkquWTWXWajtYwTZO7W79jA9nwjYtuGumC9rIb8GFAJuf-SLPdo_Oih0s-g2XhQ3X627meQZ21IKPUFy88jwtgbgVuSvZRg3G5MRP-FT4UMimx3g-ukH2MgGOV5fsHbw7HL2Pmp6J0O8y_Iq2NNPlD-7e6-emz5Y5c3qX3A5-CD3w-LlHOqa-T-60PT5o2PIfEBPgRD2caIQTRTjRCCcK4qMBTvQHONEIJwpwohFONMLpIfl8dHj6-m0SWnMkGnzMVcL7Ns0qWWnGKq5y8PnBj7C50Rmv-FjBWJ9rY6XGmj4NI7yCBbJyIMDCtFLwR6RbX9XmMaEit5bL1I4lcjFKrWyWFhpfp6dMVwO-T3i7aqUOvPXYPmVWtgmKF6Vf6xLXukwxoYLtkyTOmnvelt9cL1qBlMH29DZlCRj65cwn_zzzKbmF_xEf0HtGuqtFY56Tm3q9mi4XLwLYvgNuKLH3 |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Dynamic+energy+efficient+data+placement+and+cluster+reconfiguration+algorithm+for+MapReduce+framework&rft.jtitle=Future+generation+computer+systems&rft.au=Maheshwari%2C+Nitesh&rft.au=Nanduri%2C+Radheshyam&rft.au=Varma%2C+Vasudeva&rft.date=2012&rft.pub=Elsevier+B.V&rft.issn=0167-739X&rft.eissn=1872-7115&rft.volume=28&rft.issue=1&rft.spage=119&rft.epage=127&rft_id=info:doi/10.1016%2Fj.future.2011.07.001&rft.externalDocID=S0167739X1100135X |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0167-739X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0167-739X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0167-739X&client=summon |