Dynamic multi-objective optimized replica placement and migration strategies for SaaS applications in edge cloud
The multi-replica strategy widely used in the traditional cloud makes storage costly and the replica cannot be accurately located. Due to many heterogeneous nodes in different locations of the edge cloud system, inefficient replica strategy will greatly affect the load balancing of the system. There...
Saved in:
| Published in | Future generation computer systems Vol. 100; pp. 921 - 937 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.11.2019
|
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | The multi-replica strategy widely used in the traditional cloud makes storage costly and the replica cannot be accurately located. Due to many heterogeneous nodes in different locations of the edge cloud system, inefficient replica strategy will greatly affect the load balancing of the system. Therefore, the dynamic multi-objective optimized replica placement and migration strategies for SaaS applications in edge cloud are proposed in this paper. The multi-objective optimized replica placement problem is solved according to the fast non-dominated sorting genetic algorithm. In the experiment, the algorithm of replica placement will minimize the effective network utilization, reduce the response time and guarantee the load balancing of data nodes. Moreover, the replica migration model for access hotspots is proposed to obtain the pairing migration relationship from source node to target node. In the experiment, the replica migration algorithm will effectively reduce the migration time, minimize the response time and improve network resource utilization. Besides, the applicability of the proposed replica methods is shown in different scenarios such as the social media, intelligent agriculture, military field and transportation field.
•The multi-objective optimized replica placement method is proposed.•The consistency management of replicas is performed to improve system performance.•The replica migration method for access hotspots is proposed.•The applicability of the proposed replica methods is shown in different scenarios. |
|---|---|
| AbstractList | The multi-replica strategy widely used in the traditional cloud makes storage costly and the replica cannot be accurately located. Due to many heterogeneous nodes in different locations of the edge cloud system, inefficient replica strategy will greatly affect the load balancing of the system. Therefore, the dynamic multi-objective optimized replica placement and migration strategies for SaaS applications in edge cloud are proposed in this paper. The multi-objective optimized replica placement problem is solved according to the fast non-dominated sorting genetic algorithm. In the experiment, the algorithm of replica placement will minimize the effective network utilization, reduce the response time and guarantee the load balancing of data nodes. Moreover, the replica migration model for access hotspots is proposed to obtain the pairing migration relationship from source node to target node. In the experiment, the replica migration algorithm will effectively reduce the migration time, minimize the response time and improve network resource utilization. Besides, the applicability of the proposed replica methods is shown in different scenarios such as the social media, intelligent agriculture, military field and transportation field.
•The multi-objective optimized replica placement method is proposed.•The consistency management of replicas is performed to improve system performance.•The replica migration method for access hotspots is proposed.•The applicability of the proposed replica methods is shown in different scenarios. |
| Author | Tang, Hengliang Li, Chunlin Luo, Youlong Wang, YaPing |
| Author_xml | – sequence: 1 givenname: Chunlin surname: Li fullname: Li, Chunlin email: chunlin74@aliyun.com organization: Department of Computer Science, Wuhan University of Technology, Wuhan 430063, PR China – sequence: 2 givenname: YaPing surname: Wang fullname: Wang, YaPing organization: Department of Computer Science, Wuhan University of Technology, Wuhan 430063, PR China – sequence: 3 givenname: Hengliang surname: Tang fullname: Tang, Hengliang organization: School of Information, Beijing Wuzi University, Beijing 101149, China – sequence: 4 givenname: Youlong surname: Luo fullname: Luo, Youlong organization: Department of Computer Science, Wuhan University of Technology, Wuhan 430063, PR China |
| BookMark | eNqFkE1LAzEQhoNUsFb_gYf8gV0n-9n1IEj9hIKHKngL2WRSpuwXSVrQX--29eRBTzMw8wzzPuds0vUdMnYlIBYgiutNbLdh6zBOQFQx5DFAesKmYl4mUSlEPmHTca2MyrT6OGPn3m8AQJSpmLLh_rNTLWnebptAUV9vUAfaIe-HQC19oeEOh4a04kOjNLbYBa46w1taOxWo77gPY4NrQs9t7_hKqRVXw4HZzz2njqNZI9dNvzUX7NSqxuPlT52x98eHt8VztHx9elncLSOdQhEiI4p5budJUmEO-RhCW6gzmCMIVQNkYFVd5ViYSpu0QmVVBhkWpcUssba26YzdHO9q13vv0EpN4fDQ-C41UoDcu5MbeXQn9-4k5HJ0N8LZL3hw1Cr3-R92e8RwDLYjdNJrwk6jITdqlaanvw98Az-kkQE |
| CitedBy_id | crossref_primary_10_1016_j_comcom_2021_07_008 crossref_primary_10_1007_s11277_023_10240_7 crossref_primary_10_1016_j_jksuci_2022_05_002 crossref_primary_10_1016_j_future_2024_02_004 crossref_primary_10_1002_spe_3032 crossref_primary_10_3233_JIFS_240069 crossref_primary_10_1007_s10586_022_03575_6 crossref_primary_10_3390_electronics14020249 crossref_primary_10_1016_j_egyr_2021_09_205 crossref_primary_10_1080_0954898X_2024_2353665 crossref_primary_10_1007_s10878_022_00934_2 crossref_primary_10_1007_s11277_024_11082_7 crossref_primary_10_1016_j_ins_2019_12_049 crossref_primary_10_1007_s11227_020_03191_4 crossref_primary_10_1007_s11227_020_03192_3 crossref_primary_10_3390_math9192348 crossref_primary_10_1007_s10586_021_03283_7 crossref_primary_10_1016_j_future_2024_03_014 crossref_primary_10_4018_IJGHPC_301591 crossref_primary_10_1038_s41598_023_27674_5 crossref_primary_10_1007_s10586_022_03663_7 crossref_primary_10_1007_s00500_020_04802_1 crossref_primary_10_1007_s00500_020_04847_2 crossref_primary_10_1016_j_advengsoft_2023_103496 crossref_primary_10_1016_j_mlwa_2023_100495 crossref_primary_10_1109_ACCESS_2021_3064917 crossref_primary_10_1145_3582883 crossref_primary_10_1109_TPDS_2024_3506625 crossref_primary_10_1109_TSC_2024_3478822 crossref_primary_10_1007_s10462_022_10309_y crossref_primary_10_1007_s00500_020_04931_7 crossref_primary_10_1016_j_comcom_2021_08_007 crossref_primary_10_1145_3452741 crossref_primary_10_1016_j_cie_2019_106136 crossref_primary_10_1080_0952813X_2022_2117421 |
| Cites_doi | 10.1109/TMC.2015.2404791 10.1016/j.jnca.2012.01.014 10.1109/JSAC.2019.2894555 10.1287/opre.49.4.469.11231 10.3233/JIFS-169168 10.1007/s11042-016-3593-x 10.1109/TCC.2016.2628374 10.1109/TPDS.2018.2837743 10.1109/TNSM.2017.2788945 10.1007/s00778-013-0332-z 10.1007/s10723-018-9432-8 10.1109/CC.2016.7833463 10.1109/COMST.2016.2626384 10.1016/S0167-6911(82)80025-X 10.1007/s10586-015-0459-3 10.1109/MCC.2017.37 10.1088/1742-6596/930/1/012002 10.1109/TPDS.2008.25 10.1109/JIOT.2016.2579198 |
| ContentType | Journal Article |
| Copyright | 2019 Elsevier B.V. |
| Copyright_xml | – notice: 2019 Elsevier B.V. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.future.2019.05.003 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1872-7115 |
| EndPage | 937 |
| ExternalDocumentID | 10_1016_j_future_2019_05_003 S0167739X18323124 |
| 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- AATTM AAXKI AAYWO AAYXX ABDPE ABWVN ACRPL ADNMO AEIPS AFJKZ AFXIZ AGCQF AGQPQ AGRNS AIIUN ANKPU APXCP BNPGV CITATION SSH |
| ID | FETCH-LOGICAL-c306t-d1685f8229e505711cf0b408e01ab0040fab95e6d9cd39eafa404e67fe42ffbf3 |
| IEDL.DBID | .~1 |
| ISSN | 0167-739X |
| IngestDate | Tue Jul 01 01:42:40 EDT 2025 Thu Apr 24 23:04:24 EDT 2025 Fri Feb 23 02:30:15 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Edge cloud SaaS applications Replica migration |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c306t-d1685f8229e505711cf0b408e01ab0040fab95e6d9cd39eafa404e67fe42ffbf3 |
| PageCount | 17 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_future_2019_05_003 crossref_primary_10_1016_j_future_2019_05_003 elsevier_sciencedirect_doi_10_1016_j_future_2019_05_003 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | November 2019 2019-11-00 |
| PublicationDateYYYYMMDD | 2019-11-01 |
| PublicationDate_xml | – month: 11 year: 2019 text: November 2019 |
| PublicationDecade | 2010 |
| PublicationTitle | Future generation computer systems |
| PublicationYear | 2019 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Y. Liu, C.Q. Wu, M. Wang, A. Hou, Y. Wang, On a Dynamic Data Placement Strategy for Heterogeneous Hadoop Clusters. 2018 International Symposium on Networks, Computers and Communications, ISNCC, Rome, 2018, pp. 1–7. Shi, Cao, Zhang, Li, Xu (b2) 2016; 3 Linthicum (b1) 2017; 4 Amina, Ali, Faten (b17) 2018 Z. Yang, J. Wang, D. Evans, N. Mi, AutoReplica: Automatic data replica manager in distributed caching and data processing systems. 2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC, Las Vegas, 2016, pp. 1–6. Khair, Fahmi, Hakim (b38) 2017; 930 Mansouri, Dastghaibyfard (b32) 2012; 35 Guerrero, Lera, Bermejo, Juiz (b5) 2018; 29 Weijie, Yanmin (b37) 2018; 324 Aral, Ovatman (b12) 2018; 15 B. Tian, et al. A Flexible Dynamic Migration Strategy for Cloud Data Replica. 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Exeter, 2017, pp. 567–572. Mansouri, Dastghaibyfard (b39) 2012; 35 F.D. Vita, D. Bruneo, A. Puliafito, G. Nardini, A. Virdis, G. Stea, A Deep Reinforcement Learning Approach for Data Migration in Multi-Access Edge Computing. 2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K), Santa Fe., 2018, pp. 1–8. W. Hongxia, Replica placement strategy based on VCG mechanism. 2015 IEEE International Conference on Computer and Communications, ICCC, Chengdu, 2015, pp. 72–76. D. Zhao, T. Yang, Y. Jin, Y. Xu, A service migration strategy based on multiple attribute decision in mobile edge computing. 2017 IEEE 17th International Conference on Communication Technology, ICCT, Chengdu, 2017, pp. 986–990. J. Liu, W. Li, Greedy Permuting Method for Genetic Algorithm on Traveling Salesman Problem. 2018 8th International Conference on Electronics Information and Emergency Communication, ICEIEC, Beijing, 2018, pp. 47–51. A. Mseddi, M.A. Salahuddin, M.F. Zhani, H. Elbiaze, R.H. Glitho, On optimizing replica migration in distributed cloud storage systems. 2015 IEEE 4th International Conference on Cloud Networking, CloudNet, Niagara Falls, 2015, pp. 191–197. Sahoo, Salahuddin, Glitho (b33) 2017; 19 Hochman, Rodgers (b29) 1969; 59 A. Waqas, N. Majeed, Z.M. Yusof, A.W. Mahesar, Dynamic object replica placement using underlying routing protocols: Ensuring the reliability. 2013 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M), Rabat. 2013, pp. 1–4. Luo, Xin, Wang, al (b31) 2015; 18 Yu (b3) 2016; 13 Fati, Sumari (b27) 2017; 76 Richter, Quiané-Ruiz, Schuh (b9) 2014; 23 Wang, Shi, Hu (b22) 2015; 14 (Accessed November 2015). D. Duolikun, H. Kataoka, S. Nakamura, T. Enokido, M. Takizawa, Energy-Aware Migration and Replication of Processes in a Cluster. 2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA, Krakow, 2015, pp. 283–287. O. foundation. Swift documentation. (2015) Available W. Yang, Y. Hu, A replica management strategy based on MOEA/D. 2018 13th IEEE Conference on Industrial Electronics and Applications, ICIEA, Wuhan. 2018, pp. 2154–2159. Tao, Ota, Dong (b15) 2016 . Forman, Gass (b26) 2001; 49 Benoit (b28) 2008; 19 Chang, Wang (b8) 2019; 37 H. Bhattacharya, S. Chattopadhyay, M. Chattopadhyay, Problems with Replica Placement Using Data Dependency in Scientific Cloud Workflow. 2018 Fifth International Conference on Emerging Applications of Information Technology, EAIT, Kolkata, 2018, pp. 1–4. Deng (b25) 1982; 1 W. Guo, X. Wang, Y. Don, A Workload-Based Dynamic Adaptive Data Replica Placement Method. 2014 11th Web Information System and Application Conference, Tianjin. 2014, pp. 184–187. Released Trace Data L. Zhang, et al. Cost-Effective and Traffic-Optimal Data Placement Strategy for Cloud-based Online Social Networks. 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, CSCWD, Nanjing, 2018, pp. 110–115. Qu, Meng, Yang (b36) 2016 Guerrero, Lera, Juiz (b24) 2018; 6 Wu, Guan (b34) 2016; 31 Weijie (10.1016/j.future.2019.05.003_b37) 2018; 324 Guerrero (10.1016/j.future.2019.05.003_b5) 2018; 29 Wu (10.1016/j.future.2019.05.003_b34) 2016; 31 Mansouri (10.1016/j.future.2019.05.003_b32) 2012; 35 Khair (10.1016/j.future.2019.05.003_b38) 2017; 930 10.1016/j.future.2019.05.003_b40 10.1016/j.future.2019.05.003_b4 10.1016/j.future.2019.05.003_b23 10.1016/j.future.2019.05.003_b20 Mansouri (10.1016/j.future.2019.05.003_b39) 2012; 35 Amina (10.1016/j.future.2019.05.003_b17) 2018 10.1016/j.future.2019.05.003_b21 Wang (10.1016/j.future.2019.05.003_b22) 2015; 14 Fati (10.1016/j.future.2019.05.003_b27) 2017; 76 10.1016/j.future.2019.05.003_b7 Chang (10.1016/j.future.2019.05.003_b8) 2019; 37 Aral (10.1016/j.future.2019.05.003_b12) 2018; 15 10.1016/j.future.2019.05.003_b6 Qu (10.1016/j.future.2019.05.003_b36) 2016 Guerrero (10.1016/j.future.2019.05.003_b24) 2018; 6 Benoit (10.1016/j.future.2019.05.003_b28) 2008; 19 Sahoo (10.1016/j.future.2019.05.003_b33) 2017; 19 Deng (10.1016/j.future.2019.05.003_b25) 1982; 1 Shi (10.1016/j.future.2019.05.003_b2) 2016; 3 10.1016/j.future.2019.05.003_b30 Yu (10.1016/j.future.2019.05.003_b3) 2016; 13 10.1016/j.future.2019.05.003_b11 Luo (10.1016/j.future.2019.05.003_b31) 2015; 18 10.1016/j.future.2019.05.003_b10 10.1016/j.future.2019.05.003_b16 10.1016/j.future.2019.05.003_b13 10.1016/j.future.2019.05.003_b35 10.1016/j.future.2019.05.003_b14 Hochman (10.1016/j.future.2019.05.003_b29) 1969; 59 10.1016/j.future.2019.05.003_b19 10.1016/j.future.2019.05.003_b18 Richter (10.1016/j.future.2019.05.003_b9) 2014; 23 Tao (10.1016/j.future.2019.05.003_b15) 2016 Forman (10.1016/j.future.2019.05.003_b26) 2001; 49 Linthicum (10.1016/j.future.2019.05.003_b1) 2017; 4 |
| References_xml | – volume: 13 start-page: 89 year: 2016 end-page: 99 ident: b3 article-title: Mobile edge computing towards 5G: Vision, recent progress and open challenges publication-title: China Commun. – reference: W. Hongxia, Replica placement strategy based on VCG mechanism. 2015 IEEE International Conference on Computer and Communications, ICCC, Chengdu, 2015, pp. 72–76. – reference: Y. Liu, C.Q. Wu, M. Wang, A. Hou, Y. Wang, On a Dynamic Data Placement Strategy for Heterogeneous Hadoop Clusters. 2018 International Symposium on Networks, Computers and Communications, ISNCC, Rome, 2018, pp. 1–7. – reference: D. Duolikun, H. Kataoka, S. Nakamura, T. Enokido, M. Takizawa, Energy-Aware Migration and Replication of Processes in a Cluster. 2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA, Krakow, 2015, pp. 283–287. – volume: 3 start-page: 637 year: 2016 end-page: 646 ident: b2 article-title: Edge computing: Vision and challenges publication-title: IEEE Internet Things J. – reference: , (Accessed November 2015). – reference: A. Mseddi, M.A. Salahuddin, M.F. Zhani, H. Elbiaze, R.H. Glitho, On optimizing replica migration in distributed cloud storage systems. 2015 IEEE 4th International Conference on Cloud Networking, CloudNet, Niagara Falls, 2015, pp. 191–197. – volume: 4 start-page: 18 year: 2017 end-page: 20 ident: b1 article-title: Connecting fog and cloud computing publication-title: IEEE Cloud Comput. – reference: A. Waqas, N. Majeed, Z.M. Yusof, A.W. Mahesar, Dynamic object replica placement using underlying routing protocols: Ensuring the reliability. 2013 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M), Rabat. 2013, pp. 1–4. – reference: B. Tian, et al. A Flexible Dynamic Migration Strategy for Cloud Data Replica. 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Exeter, 2017, pp. 567–572. – volume: 59 start-page: 542 year: 1969 end-page: 557 ident: b29 article-title: Pareto optimal redistribution publication-title: Amer. Econ. Rev. – start-page: 1 year: 2016 end-page: 11 ident: b15 article-title: Dependency-aware dependable scheduling workflow applications with active replica placement in the cloud publication-title: IEEE Trans. Cloud Comput. – reference: H. Bhattacharya, S. Chattopadhyay, M. Chattopadhyay, Problems with Replica Placement Using Data Dependency in Scientific Cloud Workflow. 2018 Fifth International Conference on Emerging Applications of Information Technology, EAIT, Kolkata, 2018, pp. 1–4. – reference: Z. Yang, J. Wang, D. Evans, N. Mi, AutoReplica: Automatic data replica manager in distributed caching and data processing systems. 2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC, Las Vegas, 2016, pp. 1–6. – reference: D. Zhao, T. Yang, Y. Jin, Y. Xu, A service migration strategy based on multiple attribute decision in mobile edge computing. 2017 IEEE 17th International Conference on Communication Technology, ICCT, Chengdu, 2017, pp. 986–990. – volume: 6 start-page: 265 year: 2018 end-page: 284 ident: b24 article-title: Migration-aware genetic optimization for mapreduce scheduling and replica placement in hadoop publication-title: J. Grid Comput. – reference: F.D. Vita, D. Bruneo, A. Puliafito, G. Nardini, A. Virdis, G. Stea, A Deep Reinforcement Learning Approach for Data Migration in Multi-Access Edge Computing. 2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K), Santa Fe., 2018, pp. 1–8. – reference: W. Yang, Y. Hu, A replica management strategy based on MOEA/D. 2018 13th IEEE Conference on Industrial Electronics and Applications, ICIEA, Wuhan. 2018, pp. 2154–2159. – reference: Released Trace Data, – volume: 18 start-page: 1127 year: 2015 end-page: 1140 ident: b31 article-title: Superset: A non-uniform replica placement strategy towards perfect load balance and fine-grained power proportionality publication-title: Clust. Comput. – reference: J. Liu, W. Li, Greedy Permuting Method for Genetic Algorithm on Traveling Salesman Problem. 2018 8th International Conference on Electronics Information and Emergency Communication, ICEIEC, Beijing, 2018, pp. 47–51. – reference: L. Zhang, et al. Cost-Effective and Traffic-Optimal Data Placement Strategy for Cloud-based Online Social Networks. 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, CSCWD, Nanjing, 2018, pp. 110–115. – volume: 29 start-page: 2568 year: 2018 end-page: 2581 ident: b5 article-title: Multi-objective optimization for virtual machine allocation and replica placement in virtualized hadoop publication-title: IEEE Trans. Parallel Distrib. Syst. – volume: 37 start-page: 656 year: 2019 end-page: 667 ident: b8 article-title: Write-aware replica placement for cloud computing publication-title: IEEE J. Sel. Areas Commun. – volume: 19 start-page: 1002 year: 2017 end-page: 1026 ident: b33 article-title: A survey on replica server placement algorithms for content delivery networks publication-title: IEEE Commun. Surv. Tutor. – volume: 324 start-page: 012 year: 2018 end-page: 049 ident: b37 article-title: Analysis of the Mean Absolute Error, MAE and the Root Mean Square Error, RMSE in assessing rounding model publication-title: IOP Conf. Ser. : Mater. Sci. Eng. – volume: 930 start-page: 012 year: 2017 end-page: 018 ident: b38 article-title: Forecasting error calculation with mean absolute deviation and mean absolute percentage error publication-title: J. Phys. Conf. Ser. – reference: . – reference: W. Guo, X. Wang, Y. Don, A Workload-Based Dynamic Adaptive Data Replica Placement Method. 2014 11th Web Information System and Application Conference, Tianjin. 2014, pp. 184–187. – volume: 31 start-page: 2859 year: 2016 end-page: 2868 ident: b34 article-title: Data set replica placement strategy based on fuzzy evaluation in the cloud publication-title: J. Intell. Fuzzy Systems – volume: 35 start-page: 1297 year: 2012 end-page: 1303 ident: b32 article-title: A dynamic replica management strategy in data grid publication-title: J. Netw. Comput. Appl. – reference: O. foundation. Swift documentation. (2015) Available: – volume: 23 start-page: 469 year: 2014 end-page: 494 ident: b9 article-title: Towards zero-overhead static and adaptive indexing in hadoop publication-title: Vldb J. – volume: 15 start-page: 516 year: 2018 end-page: 530 ident: b12 article-title: Decentralized replica placement algorithm for edge computing publication-title: IEEE Trans. Netw. Serv. Manag. – volume: 76 start-page: 1 year: 2017 end-page: 25 ident: b27 article-title: Content-aware replica placement strategy for IPTV services over peer service area architecture publication-title: Multimed. Tools Appl. – start-page: 1 year: 2018 end-page: 14 ident: b17 article-title: Efficient replica migration scheme for distributed cloud storage systems publication-title: IEEE Trans. Cloud Comput. – volume: 14 start-page: 2576 year: 2015 end-page: 2589 ident: b22 article-title: Virtual servers co-migration for mobile accesses: Online versus off-line publication-title: IEEE Trans. Mob. Comput. – start-page: 337 year: 2016 end-page: 342 ident: b36 article-title: A dynamic replica strategy based on Markov model for hadoop distributed file system, HDFS publication-title: International Conference on Cloud Computing and Intelligence Systems – volume: 19 start-page: 1614 year: 2008 end-page: 1627 ident: b28 article-title: Replica placement and access policies in tree networks publication-title: IEEE Trans. Parallel Distrib. Syst. – volume: 35 start-page: 1297 year: 2012 end-page: 1303 ident: b39 article-title: A dynamic replica management strategy in data grid publication-title: J. Netw. Comput. Appl. – volume: 49 start-page: 469 year: 2001 end-page: 486 ident: b26 article-title: The analytic hierarchy process: An exposition publication-title: Oper. Res. – volume: 1 start-page: 288 year: 1982 end-page: 294 ident: b25 article-title: Control problems of grey systems publication-title: Systems Control Lett. – volume: 14 start-page: 2576 issue: 12 year: 2015 ident: 10.1016/j.future.2019.05.003_b22 article-title: Virtual servers co-migration for mobile accesses: Online versus off-line publication-title: IEEE Trans. Mob. Comput. doi: 10.1109/TMC.2015.2404791 – volume: 35 start-page: 1297 issue: 4 year: 2012 ident: 10.1016/j.future.2019.05.003_b32 article-title: A dynamic replica management strategy in data grid publication-title: J. Netw. Comput. Appl. doi: 10.1016/j.jnca.2012.01.014 – ident: 10.1016/j.future.2019.05.003_b7 – volume: 37 start-page: 656 issue: 3 year: 2019 ident: 10.1016/j.future.2019.05.003_b8 article-title: Write-aware replica placement for cloud computing publication-title: IEEE J. Sel. Areas Commun. doi: 10.1109/JSAC.2019.2894555 – ident: 10.1016/j.future.2019.05.003_b18 – volume: 49 start-page: 469 issue: 4 year: 2001 ident: 10.1016/j.future.2019.05.003_b26 article-title: The analytic hierarchy process: An exposition publication-title: Oper. Res. doi: 10.1287/opre.49.4.469.11231 – ident: 10.1016/j.future.2019.05.003_b16 – ident: 10.1016/j.future.2019.05.003_b20 – volume: 31 start-page: 2859 issue: 6 year: 2016 ident: 10.1016/j.future.2019.05.003_b34 article-title: Data set replica placement strategy based on fuzzy evaluation in the cloud publication-title: J. Intell. Fuzzy Systems doi: 10.3233/JIFS-169168 – volume: 76 start-page: 1 issue: 7 year: 2017 ident: 10.1016/j.future.2019.05.003_b27 article-title: Content-aware replica placement strategy for IPTV services over peer service area architecture publication-title: Multimed. Tools Appl. doi: 10.1007/s11042-016-3593-x – volume: 35 start-page: 1297 issue: 4 year: 2012 ident: 10.1016/j.future.2019.05.003_b39 article-title: A dynamic replica management strategy in data grid publication-title: J. Netw. Comput. Appl. doi: 10.1016/j.jnca.2012.01.014 – start-page: 1 year: 2016 ident: 10.1016/j.future.2019.05.003_b15 article-title: Dependency-aware dependable scheduling workflow applications with active replica placement in the cloud publication-title: IEEE Trans. Cloud Comput. doi: 10.1109/TCC.2016.2628374 – ident: 10.1016/j.future.2019.05.003_b11 – ident: 10.1016/j.future.2019.05.003_b13 – ident: 10.1016/j.future.2019.05.003_b30 – ident: 10.1016/j.future.2019.05.003_b40 – volume: 29 start-page: 2568 issue: 11 year: 2018 ident: 10.1016/j.future.2019.05.003_b5 article-title: Multi-objective optimization for virtual machine allocation and replica placement in virtualized hadoop publication-title: IEEE Trans. Parallel Distrib. Syst. doi: 10.1109/TPDS.2018.2837743 – start-page: 1 year: 2018 ident: 10.1016/j.future.2019.05.003_b17 article-title: Efficient replica migration scheme for distributed cloud storage systems publication-title: IEEE Trans. Cloud Comput. – volume: 324 start-page: 012 year: 2018 ident: 10.1016/j.future.2019.05.003_b37 article-title: Analysis of the Mean Absolute Error, MAE and the Root Mean Square Error, RMSE in assessing rounding model publication-title: IOP Conf. Ser. : Mater. Sci. Eng. – volume: 15 start-page: 516 issue: 2 year: 2018 ident: 10.1016/j.future.2019.05.003_b12 article-title: Decentralized replica placement algorithm for edge computing publication-title: IEEE Trans. Netw. Serv. Manag. doi: 10.1109/TNSM.2017.2788945 – ident: 10.1016/j.future.2019.05.003_b4 – volume: 23 start-page: 469 issue: 3 year: 2014 ident: 10.1016/j.future.2019.05.003_b9 article-title: Towards zero-overhead static and adaptive indexing in hadoop publication-title: Vldb J. doi: 10.1007/s00778-013-0332-z – volume: 6 start-page: 265 issue: 2 year: 2018 ident: 10.1016/j.future.2019.05.003_b24 article-title: Migration-aware genetic optimization for mapreduce scheduling and replica placement in hadoop publication-title: J. Grid Comput. doi: 10.1007/s10723-018-9432-8 – volume: 13 start-page: 89 year: 2016 ident: 10.1016/j.future.2019.05.003_b3 article-title: Mobile edge computing towards 5G: Vision, recent progress and open challenges publication-title: China Commun. doi: 10.1109/CC.2016.7833463 – ident: 10.1016/j.future.2019.05.003_b19 – volume: 19 start-page: 1002 issue: 2 year: 2017 ident: 10.1016/j.future.2019.05.003_b33 article-title: A survey on replica server placement algorithms for content delivery networks publication-title: IEEE Commun. Surv. Tutor. doi: 10.1109/COMST.2016.2626384 – ident: 10.1016/j.future.2019.05.003_b6 – ident: 10.1016/j.future.2019.05.003_b23 – volume: 1 start-page: 288 issue: 5 year: 1982 ident: 10.1016/j.future.2019.05.003_b25 article-title: Control problems of grey systems publication-title: Systems Control Lett. doi: 10.1016/S0167-6911(82)80025-X – start-page: 337 year: 2016 ident: 10.1016/j.future.2019.05.003_b36 article-title: A dynamic replica strategy based on Markov model for hadoop distributed file system, HDFS – ident: 10.1016/j.future.2019.05.003_b21 – volume: 18 start-page: 1127 issue: 3 year: 2015 ident: 10.1016/j.future.2019.05.003_b31 article-title: Superset: A non-uniform replica placement strategy towards perfect load balance and fine-grained power proportionality publication-title: Clust. Comput. doi: 10.1007/s10586-015-0459-3 – volume: 59 start-page: 542 issue: 4 year: 1969 ident: 10.1016/j.future.2019.05.003_b29 article-title: Pareto optimal redistribution publication-title: Amer. Econ. Rev. – volume: 4 start-page: 18 issue: 2 year: 2017 ident: 10.1016/j.future.2019.05.003_b1 article-title: Connecting fog and cloud computing publication-title: IEEE Cloud Comput. doi: 10.1109/MCC.2017.37 – ident: 10.1016/j.future.2019.05.003_b10 – ident: 10.1016/j.future.2019.05.003_b35 – volume: 930 start-page: 012 year: 2017 ident: 10.1016/j.future.2019.05.003_b38 article-title: Forecasting error calculation with mean absolute deviation and mean absolute percentage error publication-title: J. Phys. Conf. Ser. doi: 10.1088/1742-6596/930/1/012002 – ident: 10.1016/j.future.2019.05.003_b14 – volume: 19 start-page: 1614 issue: 12 year: 2008 ident: 10.1016/j.future.2019.05.003_b28 article-title: Replica placement and access policies in tree networks publication-title: IEEE Trans. Parallel Distrib. Syst. doi: 10.1109/TPDS.2008.25 – volume: 3 start-page: 637 issue: 5 year: 2016 ident: 10.1016/j.future.2019.05.003_b2 article-title: Edge computing: Vision and challenges publication-title: IEEE Internet Things J. doi: 10.1109/JIOT.2016.2579198 |
| SSID | ssj0001731 |
| Score | 2.4751742 |
| Snippet | The multi-replica strategy widely used in the traditional cloud makes storage costly and the replica cannot be accurately located. Due to many heterogeneous... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 921 |
| SubjectTerms | Edge cloud Replica migration SaaS applications |
| Title | Dynamic multi-objective optimized replica placement and migration strategies for SaaS applications in edge cloud |
| URI | https://dx.doi.org/10.1016/j.future.2019.05.003 |
| Volume | 100 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV07T8MwELaqsrDwRpRH5YHVNKmd11gVqgKiS6nULXL8QKnapCrtwsBvJ2c7UBhAYkzkk6LL-e7s--47hK5pzFXGk4Qo6nHCYk-TLAp8QhljVHhCUIN2fxqFwwl7mAbTBurXvTAAq3S-3_p0463dm47TZmeZ550xAOgjmkzBKGkVpqCDnUVg5TfvXzAPP3IzCSuHAKvr9jmD8bK8HQDwSgx_Zz0662d42go5gwO053JF3LOfc4gaqjhC-_UcBuy25TFa3tqx8tigA0mZzawXw2XlDxb5m5J4pUydGhsIFlwIYl5IvMhfrAHg13VNGYGrLBaPOR_j7do2zgsMN29YzMuNPEGTwd1zf0jcJAUiqiPBmkg_jAMN3O4KDiS-L7SXMS9Wns_NPtY8SwIVykRImiiuOfOYCiOtWFfrTNNT1CzKQp0hTLuCaQr05qLSdlfGiQiEimSsMiixsRaitQJT4WjGYdrFPK3xZLPUqj0FtadeAPSkLUQ-pZaWZuOP9VH9b9Jv5pJWkeBXyfN_S16gXXiyjYiXqLlebdRVlZGss7YxuTba6d0_Dkcfo13jiQ |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV07b8IwED5RGNql76r06aGrRYKd14hoEZTHAkhskePYVRAkiIalv75x7KC2Qyt1TXKSdTl_58d33wE8EZ-JiAUBFsRimPqWxJHn2JhQSgm3OCcl2308cftz-rpwFjXoVrUwilZpsF9jeonW5knLeLO1SZLWVBHoPRIsVFCSIk0dQEOpUzl1aHQGw_5kD8i2Z9oSFpigDKoKupLmpaU7FMcrKCU8q-5ZPzPUl6zTO4Vjs1xEHT2iM6iJ9BxOqlYMyMzMC9g8687yqCQI4ixaaiBDWQEJ6-RDxGgryqtqVLKw1JkgYmmM1smbjgH0nleqEahYyKIpY1P09XobJSlSh2-Ir7JdfAnz3sus28emmQLmxa4gx7Ht-o5U8u5C7Ulsm0sropYvLJuVU1myKHCEGwc8JoFgklGLCteTgraljCS5gnqapeIaEGlzKolSOOeUeu3YD7jDhRf7IlK3bLQJpHJgyI3SuGp4sQorStky1G4PldtDy1EKpU3Ae6uNVtr443uv-jfht4gJi2Twq-XNvy0f4bA_G4_C0WAyvIUj9UbXJd5BPd_uxH2xQMmjBxOAn29t5jo |
| 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+multi-objective+optimized+replica+placement+and+migration+strategies+for+SaaS+applications+in+edge+cloud&rft.jtitle=Future+generation+computer+systems&rft.au=Li%2C+Chunlin&rft.au=Wang%2C+YaPing&rft.au=Tang%2C+Hengliang&rft.au=Luo%2C+Youlong&rft.date=2019-11-01&rft.pub=Elsevier+B.V&rft.issn=0167-739X&rft.eissn=1872-7115&rft.volume=100&rft.spage=921&rft.epage=937&rft_id=info:doi/10.1016%2Fj.future.2019.05.003&rft.externalDocID=S0167739X18323124 |
| 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 |