IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges

IEEE Internet of Things Journal

Volumn 4, Issue 1, 2017, Pages 75-87

  Cai, Hongming ^a   Xu, Boyi ^a   Jiang, Lihong ^a   Vasilakos, Athanasios V ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b LULEÅ UNIVERSITY OF TECHNOLOGY   (Sweden)

Author keywords

Big data; business intelligence; cloud computing; data management; distributed processing; Internet of Things (IoT) applications; Performance isolation

Indexed keywords

CLOUD COMPUTING; COMPETITIVE INTELLIGENCE; DATA MINING; DATA STORAGE EQUIPMENT; DIGITAL STORAGE; DISTRIBUTED COMPUTER SYSTEMS; INFORMATION MANAGEMENT; INTERNET OF THINGS;

BUSINESS ORGANIZATIONS; DATA STORAGE SYSTEMS; DISTRIBUTED PROCESSING; INDUSTRY PUBLICATIONS; INTERNET OF THINGS (IOT); KEY CHARACTERISTICS; PERFORMANCE ISOLATION; RESEARCH FRAMEWORKS;

BIG DATA;

EID: 85015235861     PISSN: None     EISSN: 23274662     Source Type: Journal    
DOI: 10.1109/JIOT.2016.2619369     Document Type: Article

References (80)

1. M. Ma, P. Wang, C.-H. Chu, "Data management for Internetof Things: Challenges, approaches and opportunities, " in Proc. IEEE Int. Conf. IEEE Cyber Phys. Soc. Comput. Green Comput. Commun. (GreenCom) IEEE Internet Things (iThings/CPSCom), Beijing, China, 2013, pp. 1144-1151.
2. M. Aazam, I. Khan, A. A. Alsaffar, E.-N. Huh, "Cloud ofthings: Integrating Internet of Things and cloud computing andthe issues involved, " in Proc. 11th Int. Bhurban Conf. Appl. Sci. Technol. (IBCAST), Islamabad, Pakistan, Jan. 2014, pp. 414-419.
3. W. Wang and D. Guo, "Towards unified heterogeneous event processingfor the Internet of Things, " in Proc. 3rd Int. Conf. Internet Things (IOT), Wuxi, China, 2012, pp. 84-91.
4. A. Somov, C. Dupont, R. Giaffreda, "Supporting smart-city mobilitywith cognitive Internet of Things, " in Proc. Future Netw. MobileSummit (FutureNetworkSummit), Lisbon, Portugal, 2013, pp. 1-10.
5. S. Mayer, A. Tschofen, A. K. Dey, F. Mattern, "User interfaces forsmart things-A generative approach with semantic interaction descriptions, "ACM Trans. Comput. Human Interact., vol. 21, no. 2, 2014, Art. no. 12.
6. S. Hasan and E. Curry, "Approximate semantic matching of events forthe Internet of Things, " ACM Trans. Internet Technol., vol. 14, no. 1, 2014, Art. no. 2.
7. M.-S. Dao, et al., "A real-time complex event discovery platform forcyber-physical-social systems, " in Proc. Int. Conf. Multimedia Retrieval, Glasgow, U. K., 2014, p. 201.
8. H. Liu, Y. Liu, Q. Wu, S. Ma, Geo-Informatics in ResourceManagement and Sustainable Ecosystem (Communications in Computerand Information Science). Heidelberg, Germany: Springer, 2013, pp. 298-312.
9. S. Villarroya, et al., "Heterogeneous sensor data integration for crowdsensingapplications, " in Proc. 18th Int. Database Eng. Appl. Symp., Porto, Portugal, 2014, pp. 270-273.
10. U. Raza, B. Whiteside, F. Hu, "An enterprise service bus (ESB)and Google gadgets based micro-injection moulding process monitoringsystem, " in Proc. IET Conf. Wireless Sensor Syst. (WSS), 2012, pp. 1-6.
11. S. Meyer, A. Ruppen, C. Magerkurth, "Internet of Things-aware processmodeling: Integrating IoT devices as business process resources, "in Proc. Int. Conf. Adv. Inf. Syst. Eng., Valencia, Spain, 2013, pp. 84-98.
12. R. A. P. de Almeida, et al., "Thing broker: A Twitter for things, " in Proc. ACM Conf. Pervasive Ubiquitous Comput., Zürich, Switzerland, 2013, pp. 1545-1554.
13. W. Jiang and L. Meng, "Design of real time multimedia platformand protocol to the Internet of Things, " in Proc. IEEE 11th Int. Conf. Trust Security Privacy Comput. Commun., Liverpool, U. K., 2012, pp. 1805-1810.
14. X. Li, H. Ji, Y. Li, "Layered fault management scheme for endto-end transmission in Internet of Things, " Mobile Netw. Appl., vol. 18, no. 2, pp. 195-205, 2013.
15. H. Shafagh and A. Hithnawi, "Poster: Come closer: Proximity-basedauthentication for the Internet of Things, " in Proc. 20th Annu. Int. Conf. Mobile Comput. Netw., Maui, HI, USA, 2014, pp. 421-424.
16. H. M. Yaish, M. L. Goyal, J. G. Feuerlicht, "Multi-tenant elasticextension tables data management, " Proc. Comput. Sci., vol. 29, pp. 2168-2181, Jun. 2014.
17. J. F. Sequeda and D. P. Miranker, "Ultrawrap: SPARQL execution onrelational data, " Web Semant. Sci. Services Agents World Wide Web, vol. 22, pp. 19-39, Oct. 2013.
18. O. Curé, F. Kerdjoudj, D. Faye, C. L. Duc, M. Lamolle, "Onthe potential integration of an ontology-based data access approach inNoSQL stores, " Int. J. Distrib. Syst. Technol., vol. 4, no. 3, pp. 17-30, 2013.
19. Y. Zhang, W. Han, W. Wang, C. Lei, "Optimizing the storage ofmassive electronic pedigrees in HDFS, " in Proc. 3rd Int. Conf. InternetThings (IOT), Wuxi, China, 2012, pp. 68-75.
20. M. Li, Z. Zhu, G. Chen, "A scalable and high-efficiency discoveryservice using a new storage, " in Proc. IEEE 37th Annu. Comput. Softw. Appl. Conf. (COMPSAC), Kyoto, Japan, 2013, pp. 754-759.
21. Y.-F. Lu and S.-S. Ye, "A multi-dimension hash index design for mainmemoryRFID database applications, " in Proc. Int. Conf. Inf. SecurityIntell. Control (ISIC), 2012, pp. 61-64.
22. T. Hara, K. Harumoto, M. Tsukamoto, S. Nishio, J. Okui, "Mainmemory database for supporting database migration, " in Proc. IEEEPac. Rim Conf. Commun. Comput. Signal Process. 10 Years PACRIM1987-1997 Netw. Pac. Rim, vol. 1. Victoria, BC, Canada, 1997, pp. 231-234.
23. N. Martinez-Bazan, S. Gomez-Villamor, F. Escale-Claveras, "DEX:A high-performance graph database management system, " in Proc. IEEE27th Int. Conf. Data Eng. Workshops (ICDEW), Hanover, Germany, 2011, pp. 124-127.
24. D. Brickley and R. V. Guha, RDF Vocabulary DescriptionLanguage 1. 0: RDF Schema, 2004. [Online]. Available:http://www. w3. org/2001/sw/RDFCore/Schema/200203
25. Z. Kaoudi and I. Manolescu, "Cloud-based RDF data management, " inProc. ACM SIGMOD Int. Conf. Manag. Data, 2014, pp. 725-729.
26. M. Grund, M. Schapranow, J. Krueger, J. Schaffner, A. Bog, "Sharedtable access pattern analysis for multi-tenant applications, " in Proc. IEEESymp. Adv. Manag. Inf. Glob. Enterprises (AMIGE), Tianjin, China, 2008, pp. 1-5.
27. H. Cai, et al., "IoT-based configurable information service platform forproduct lifecycle management, " IEEE Trans. Ind. Informat., vol. 10, no. 2, pp. 1558-1567, May 2014.
28. J. Espadas, et al., "A tenant-based resource allocation model for scalingsoftware-as-a-service applications over cloud computing infrastructures, "Future Gener. Comput. Syst., vol. 29, no. 1, pp. 273-286, 2013.
29. A. K. Singh, X. Cui, B. Cassell, B. Wong, K. Daudjee, "MicroFuge:A middleware approach to providing performance isolation in cloudstorage systems, " in Proc. IEEE 34th Int. Conf. Distrib. Comput. Syst. (ICDCS), Madrid, Spain, 2014, pp. 503-513.
30. P. Lama and X. Zhou, "NINEPIN: Non-invasive and energy efficientperformance isolation in virtualized servers, " in Proc. IEEE/IFIP Int. Conf. Depend. Syst. Netw. (DSN), Boston, MA, USA, 2012, pp. 1-12.
31. B. Li, Y. He, K. Xu, "Distributed metadata management schemein cloud computing, " in Proc. 6th Int. Conf. Pervasive Comput. Appl. (ICPCA), Port Elizabeth, South Africa, 2011, pp. 32-38.
32. Y. Wang and H. Lv, "Efficient metadata management in cloud computing, "in Proc. IEEE 3rd Int. Conf. Commun. Softw. Netw. (ICCSN), Xi'an, China, 2011, pp. 514-519.
33. R. Anitha and S. Mukherjee, Global Trends in Information Systems andSoftware Applications (Communications in Computer and InformationScience). Heidelberg, Germany: Springer, 2012, pp. 13-21.
34. M. A. Rodriguez, J. Bollen, H. V. D. Sompel, "Automatic metadatageneration using associative networks, " ACM Trans. Inf. Syst., vol. 27, no. 2, 2009, Art. no. 7.
35. M. Á. Rodríguez-Garciá, R. Valencia-Garciá, F. Garciá-Sánchez, J. J. Samper-Zapater, "Ontology-based annotation and retrieval ofservices in the cloud, " Knowl. Based Syst., vol. 56, pp. 15-25, Jan. 2014.
36. J. C. Vidal, M. Lama, E. Otero-Garciá, A. Bugarín, "Graph-basedsemantic annotation for enriching educational content with linked data, "Knowl. Based Syst., vol. 55, pp. 29-42, Jan. 2014.
37. D. Tao, L. Jin, W. Liu, X. Li, "Hessian regularized support vectormachines for mobile image annotation on the cloud, " IEEE Trans. Multimedia, vol. 15, no. 4, pp. 833-844, Jun. 2013.
38. L. Xu and X. Wu, "Hub: Heterogeneous bucketization for databaseoutsourcing, " in Proc. Int. Workshop Security Cloud Comput., Wuhan, China, 2013, pp. 47-54.
39. Y. Ma, et al., "An efficient index for massive IoT data in cloud environment, "in Proc. 21st ACM Int. Conf. Inf. Knowl. Manag., Maui, HI, USA, 2012, pp. 2129-2133.
40. J. Chen, et al., "Walnut: A unified cloud object store, " in Proc. ACM SIGMOD Int. Conf. Manag. Data, Scottsdale, AZ, USA, 2012, pp. 743-754.
41. S. Huston, J. S. Culpepper, W. B. Croft, "Indexing word sequencesfor ranked retrieval, " ACM Trans. Inf. Syst., vol. 32, no. 1, 2014, Art. no. 3.
42. S. Kamara, C. Papamanthou, T. Roeder, "Dynamic searchable symmetricencryption, " in Proc. ACM Conf. Comput. Commun. Security, Hangzhou, China, 2012, pp. 965-976.
43. S. K. Vishwakarma, K. I. Lakhtaria, D. Bhatnagar, A. K. Sharma, "An efficient approach for inverted index pruning based on documentrelevance, " in Proc. 4th Int. Conf. Commun. Syst. Netw. Technol. (CSNT), Bhopal, India, 2014, pp. 487-490.
44. S. Blanas, et al., "A comparison of join algorithms for log processingin MapReduce, " in Proc. ACM SIGMOD Int. Conf. Manag. Data, Indianapolis, IN, USA, 2010, pp. 975-986.
45. K. Lu, et al., "Wave: Trigger based synchronous data process system, " inProc. 14th IEEE/ACM Int. Symp. Cluster Cloud Grid Comput. (CCGrid), Chicago, IL, USA, 2014, pp. 540-541.
46. A. Lugowski, et al., "Parallel processing of filtered queries in attributedsemantic graphs, " J. Parallel Distrib. Comput., vols. 79-80, pp. 115-131, May 2015.
47. K. Lee, L. Liu, Y. Tang, Q. Zhang, Y. Zhou, "Efficient and customizabledata partitioning framework for distributed big RDF data processingin the cloud, " in Proc. IEEE CLOUD, Santa Clara, CA, USA, 2013, pp. 327-334.
48. F. N. Afrati and J. D. Ullman, "Optimizing multiway joins in a mapreduceenvironment, " IEEE Trans. Knowl. Data Eng., vol. 23, no. 9, pp. 1282-1298, Sep. 2011.
49. G. Jung, N. Gnanasambandam, T. Mukherjee, "Synchronous parallelprocessing of big-data analytics services to optimize performance in federatedclouds, " in Proc. IEEE 5th Int. Conf. Cloud Comput. (CLOUD), Honolulu, HI, USA, 2012, pp. 811-818.
50. M. Spreitzer, M. Steinder, I. Whalley, "Ripple: Improved architectureand programming model for bulk synchronous parallel style ofanalytics, " in Proc. IEEE 33rd Int. Conf. Distrib. Comput. Syst. (ICDCS), Philadelphia, PA, USA, 2013, pp. 460-469.
51. D. B. Babu, R. S. R. Prasad, N. K. Chakravarthy, "A modern cyclicapproach to solve a classification problem in cloud environment, " inProc. Int. Conf. Adv. Comput. Sci. Appl. Technol. (ACSAT), Kuching, Malaysia, 2013, pp. 207-212.
52. X. Zhengqiao and Z. Dewei, "Research on clustering algorithm for massivedata based on Hadoop platform, " in Proc. Int. Conf. Comput. Sci. Service Syst. (CSSS), Nanjing, China, 2012, pp. 43-45.
53. J. Yu and T. Zhu, "Towards dynamic resource provisioning for trafficmining service cloud, " in Proc. IEEE Internet Things (iThings/CPSCom)IEEE Int. Conf. IEEE Cyber Phys. Soc. Comput. Green Comput. Commun. (GreenCom), Beijing, China, 2013, pp. 1296-1301.
54. S. Pandey, N. Gupta, A. K. Dubey, "A novel wireless heterogeneousdata mining (WHDM) environment based on mobile computing environments, "in Proc. Int. Conf. Commun. Syst. Netw. Technol. (CSNT), 2011, pp. 298-302.
55. F. T. Stahl, M. M. Gaber, M. Bramer, P. S. Yu, "Distributed hoeffdingtrees for pocket data mining, " in Proc. Int. Conf. High Perform. Comput. Simulat. (HPCS), Istanbul, Turkey, 2011, pp. 686-692.
56. E. H.-C. Lu, W.-C. Lee, V. S.-M. Tseng, "A framework for personalmobile commerce pattern mining and prediction, " IEEE Trans. Knowl. Data Eng., vol. 24, no. 5, pp. 769-782, May 2012.
57. C.-C. Chen, K.-W. Lee, C.-C. Chang, D.-N. Yang, M.-S. Chen, "Efficient large graph pattern mining for big data in the cloud, " in Proc. IEEE Int. Conf. Big Data, Silicon Valley, CA, USA, 2013, pp. 531-536.
58. H.-C. Lai, C.-T. Li, Y.-C. Lo, S.-D. Lin, "Exploiting and evaluatingMapReduce for large-scale graph mining, " in Proc. IEEE/ACM Int. Conf. Adv. Soc. Netw. Anal. Min. (ASONAM), Istanbul, Turkey, 2012, pp. 434-441.
59. J. Wu, Z. Guan, Q. Zhang, A. K. Singh, X. Yan, "Static anddynamic structural correlations in graphs, " IEEE Trans. Knowl. DataEng., vol. 25, no. 9, pp. 2147-2160, Sep. 2013.
60. Y. Lyu, et al., "High-performance scheduling model for multisensor gatewayof cloud sensor system-based smart-living, " Inf. Fusion, vol. 21, pp. 42-56, Jan. 2015.
61. Z. Peng, Z. Jingling, L. Qing, "Message oriented middleware dataprocessing model in Internet of Things, " in Proc. 2nd Int. Conf. Comput. Sci. Netw. Technol. (ICCSNT), Changchun, China, 2012, pp. 94-97.
62. F. Nordemann, "A communication-optimizing middleware for efficientwireless communication in rural environments, " in Proc. 9thMiddleware Doctoral Symp. 13th ACM/IFIP/USENIX Int. MiddlewareConf., Montreal, QC, Canada, 2012, p. 3.
63. Y. Wang, Q. Deng, W. Liu, B. Song, "A data-centric storageapproach for efficient query of large-scale smart grid, " in Proc. 9th WebInf. Syst. Appl. Conf. (WISA), Haikou, China, 2012, pp. 193-197.
64. Y. Tan, Z. Yan, D. Feng, E. H.-M. Sha, X. Ge, "Reducing the delinearizationof data placement to improve deduplication performance, "in Proc. High Perform. Comput. Netw. Stor. Anal. (SCC) SC Companion, Salt Lake City, UT, USA, 2012, pp. 796-800.
65. B. Dong, et al., "An optimized approach for storing and accessingsmall files on cloud storage, " J. Netw. Comput. Appl., vol. 35, no. 6, pp. 1847-1862, 2012.
66. F. Ning, C. Weng, Y. Luo, "Virtualization I/O optimization basedon shared memory, " in Proc. IEEE Int. Conf. Big Data, Silicon Valley, CA, USA, 2013, pp. 70-77.
67. L. Kolb, A. Thor, E. Rahm, "Load balancing for MapReduce-basedentity resolution, " in Proc. IEEE 28th Int. Conf. Data Eng., Washington, DC, USA, 2012, pp. 618-629.
68. F. Marozzo, D. Talia, P. Trunfio, "P2P-MapReduce: Parallel dataprocessing in dynamic cloud environments, " J. Comput. Syst. Sci., vol. 78, no. 5, pp. 1382-1402, 2012.
69. P. Lu, Y. C. Lee, A. Y. Zomaya, "Non-intrusive slot layeringin Hadoop, " in Proc. 13th IEEE/ACM Int. Symp. Cluster Cloud GridComput. (CCGrid), Delft, The Netherlands, 2013, pp. 253-260.
70. J. Zhou, et al., "CloudThings: A common architecture for integrating theInternet of Things with cloud computing, " in Proc. IEEE 17th Int. Conf. Comput. Supported Cooperative Work Design (CSCWD), Whistler, BC, Canada, 2013, pp. 651-657.
71. K. Tei and L. Gürgen, "ClouT: Cloud of things for empowering thecitizen clout in smart cities, " in Proc. IEEE World Forum InternetThings (WF-IoT), Seoul, South Korea, 2014, pp. 369-370.
72. L. Jiang, et al., "An IoT-oriented data storage framework in cloudcomputing platform, " IEEE Trans. Ind. Informat., vol. 10, no. 2, pp. 1443-1451, May 2014.
73. J. Byun, S. H. Kim, D. Kim, "Lilliput: Ontology-based platform forIoT social networks, " in Proc. IEEE Int. Conf. Services Comput. (SCC), Anchorage, AK, USA, 2014, pp. 139-146.
74. M. Fiorelli, M. T. Pazienza, A. Stellato, A. Turbati, "ART lab infrastructurefor semantic big data processing, " in Proc. Int. Conf. HighPerform. Comput. Simulat. (HPCS), Bologna, Italy, 2014, pp. 327-334.
75. C. Bizer, T. Heath, T. Berners-Lee, "Linked data-the story so far, "Int. J. Semantic Web Inf. Syst., vol. 5, no. 3, pp. 1-22, 2009.
76. R. Haque and M.-S. Hacid, "Blinked data: Concepts, characteristics, challenge, " in Proc. IEEE World Congr. Services, Anchorage, AK, USA, 2014, pp. 426-433.
77. C. Xie, G. Li, H. Cai, L. Jiang, N. N. Xiong, "Dynamicweight-based individual similarity calculation for informationsearching in social computing, " IEEE Syst. J., to be published, doi: 10. 1109/JSYST. 2015. 2443806.
78. T. Michelsen, "Data stream processing in dynamic and decentralizedpeer-to-peer networks, " in Proc. SIGMOD PhD Symp., 2014, pp. 1-5.
79. S. Aridhi, L. d'Orazio, M. Maddouri, E. M. Nguifo, "Density-baseddata partitioning strategy to approximate large-scale subgraph mining, "Inf. Syst., vol. 48, pp. 213-223, Mar. 2015.
80. C. Doulkeridis and K. Nørvåg, "A survey of large-scale analytical queryprocessing in MapReduce, " VLDB J., vol. 23, no. 3, pp. 355-380, 2014.