Managing data and processes in cloud-enabled large-scale sensor networks: State-of-the-art and future research directions

Proceedings - 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2013

Volumn , Issue , 2013, Pages 583-588

  Cuzzocrea, Alfredo ^a   Fortino, Giancarlo ^a   Rana, Omer ^b  

^a UNIVERSITY OF CALABRIA   (Italy)

^b CARDIFF UNIVERSITY   (United Kingdom)

Author keywords

Big Data; Cloud computing; Cloud enabled large scale sensor networks

Indexed keywords

BIG DATUM; CRITICAL DISCUSSIONS; FUTURE RESEARCH DIRECTIONS; LARGE SCALE SENSOR NETWORK; RESEARCH ISSUES; SCIENTIFIC FIELDS;

CLOUD COMPUTING; GRID COMPUTING; SENSOR NETWORKS;

RESEARCH;

EID: 84881303726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCGrid.2013.116     Document Type: Conference Paper

References (57)

1. A. Abouzeid, K. Bajda-Pawlikowski, D.J. Abadi, A. Rasin, and A. Silberschatz. HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads. PVLDB 2(1), 2009.
2. D. Agrawal, D. Das, and A. El Abbadi. Big Data and Cloud Computing: Current State and Future Opportunities. Proc. of EDBT'11, 2011.
3. Apache Hadoop. http://wiki.apache.org/hadoop.
4. R. Cattell. Scalable SQL and NoSQL Data Stores. SIGMOD Record 39(4), 2010.
5. Q. Chen, M. Hsu, and R. Liu. Extend UDF Technology for Integrated Analytics. Proc. of DaWaK'09, 2009.
6. Z. Chen, and C. Ordonez. Efficient OLAP with UDFs. Proc. of DOLAP'08, 2008.
7. J. Cohen, B. Dolan, M. Dunlap, J.M. Hellerstein, and C. Welton. MAD Skills: New Analysis Practices for Big Data. PVLDB 2(2), 2009.
8. J. Dean, and S. Ghemawat. MapReduce: Simplified Data Processing on Large Clusters. Communications of the ACM 51(1), 2008.
9. J. Dittrich, J.-A. Quiané-Ruiz, A. Jindal, Y. Kargin, V. Setty, and J. Schad. Hadoop++: Making a Yellow Elephant Run Like a Cheetah. PVLDB 3(1), 2010.
10. H. Hacigumus, B. Iyer, and S. Mehrotra. Providing Database as a Service. Proc. of ICDE'02, 2002.
11. H. Herodotou, H. Lim, G. Luo, N. Borisov, L. Dong, F.B. Cetin, and S. Babu. Starfish: A Self-Tuning System for Big Data Analytics. Proc. of CIDIR'11, 2011.
12. D. Jiang, B.C. Ooi, L. Shi, and S. Wu. The Performance of MapReduce: An In-depth Study. PVLDB 3(1), 2010.
13. A. Thusoo, J.S. Sarma, N. Jain, Z. Shao, P. Chakka, N. Zhang, S. Antony, H. Liu, and R. Murthy. Hive - A Petabyte Scale Data Warehouse Using Hadoop. Proc. of ICDE'10, 2010.
14. W. Kurschl, and W. Beer. Combining Cloud Computing and Wireless Sensor Networks. In Proc. of iiWAS'09, 2009.
15. I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci. A Survey on Sensor Networks. IEEE Communications Magazine 40(8), 2002.
16. M. Yuriyama, and T. Kushida. Sensor-Cloud Infrastructure-Physical Sensor Management with Virtualized Sensors on Cloud Computing. In Proc. of NBiS'10, 2010.
17. I. Foster, C. Kesselman. The Grid 2: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, 2003.
18. M. Armbrust, A. Fox, R. Griffith, A.D. Joseph, R.H. Katz, A. Konwinski, G. Lee, D.A. Patterson, A. Rabkin, I. Stoica, and M. Zaharia. A View of Cloud Computing. Communications of the ACM 53(4), 2010.
19. J. Yick, B. Mukherjee, and D. Ghosal. Wireless Sensor Network Survey. Computer Networks 52(12), 2008.
20. T. Arampatzis, J. Lygeros, and S. Manesis. A Survey of Applications of Wireless Sensors and Wireless Sensor Networks. Proc. of MED'05, 2005.
21. H. Karl, and A. Willig. Protocols and Architectures for Wireless Sensor Networks. Wiley-Interscience, 2007.
22. S.R. Madden, M.J. Franklin, J.M. Hellerstein, and W. Hong. TinyDb: An Acquisitional Query Processing System for Sensor Networks. ACM Transactions on Database Systems 30(1), 2005.
23. J. Gehrke, and P. Seshadri. Querying the Physical World. IEEE Personal Communications 7(5), 2000.
24. C. Srisathapornphat, C. Jaikaeo, and C.-C. Shen. Sensor Information Networking Architecture. Proc. of ICPPW'00, 2000.
25. F. Aiello, G. Fortino, R. Gravina, and A. Guerrieri. A Java-based Agent Platform for Programming Wireless Sensor Networks. The Computer Journal 54(3), 2011.
26. C. Muldoon, G.M.P. O'Hare, R. Collier, and M.J. O'Grady. Agent Factory Micro Edition: A Framework for Ambient Applications. Proc. of ICCSW'06, 2006.
27. C.-L. Fok, G.-C. Roman, and C. Lu. Agilla: A Mobile Agent Middleware for Self-Adaptive Wireless Sensor Networks. ACM Transactions on Autonomous and Adaptive Systems 4(3), 2009.
28. Y. Kwon, S. Sundresh, K. Mechitov, and G. Agha Actornet: An Actor Platform for Wireless Sensor Networks. In Proc. of AAMAS'06, 2006.
29. F. Bellifemine, G. Fortino, R. Giannantonio, R. Gravina, A. Guerrieri, and M. Sgroi. SPINE: A Domain-Specific Framework for Rapid Prototyping of WSN Applications. Software: Practice and Experience 41(3), 2011.
30. C. Lombriser, D. Roggen, M. Stager, and G. Troster, Titan: A Tiny Task Network for Dynamically Reconfigurable Heterogeneous Sensor Networks. In Kommunikation in Verteilten Systemen (KiVS). Springer, 2007.
31. D. Malan, T. Fulford-Jones, M. Welsh, and S. Moulton CodeBlue: An Ad-Hoc Sensor Network Infrastructure for Emergency Medical Care. In Proc. of BSN'04, 2004.
32. A. Bakshi, V.K. Prasanna, J. Reich, and D. Larner The Abstract Task Graph: A Methodology for Architecture-Independent Programming of Networked Sensor Systems. In Proc. of EESR'05, 2005.
33. R. Gummadi, N. Kothari, R. Govindan, and T. Millstein. Kairos: A Macro-Programming System for Wireless Sensor Networks. In Proc. of SOSP'05, 2005.
34. R. Newton, G. Morrisett, and M. Welsh. The Regiment Macro- Programming System. In Proc. of IPSN'07, 2007.
35. M. Mozumdar, L. Lavagno, L. Vanzago, and A. Sangiovanni- Vincentell; Hilac: A Framework for Hardware in the Loop Simulation and Multi-Platform Automatic Code Generation of WSN Applications. In Proc. of SIES'10, 2010.
36. W. Heinzelman, A. Murphy, H. Carvalho, and M. Perillo, Middleware to Support Sensor Network Applications. IEEE Network 18(1), 2004.
37. P. Levis, and D. Culler. Maté: A Tiny Virtual Machine for Sensor Networks. SIGARCH Computer Architecture News 30(5), 2002.
38. K. Delin, and S. Jackson. The Sensor Web: A New Instrument Concept. In Proc. of SPIE-SIO'01, 2001.
39. C. Shen, C. Srisathapornphat, and C. Jaikaeo. Sensor Information Networking Architecture and Applications. IEEE Wireless Communications 8(4), 2001.
40. P. Buonadonna, D. Gay, J. Hellerstein, W. Hong, and S. Madden. Task: Sensor Network in A Box. In Proc. of EWSN'05, 2005.
41. X. Chu, and R. Buyya. Service-Oriented Sensor Web. In: Sensor Networks and Configuration. Springer, 2007.
42. A. Cuzzocrea, F. Furfaro, G.M. Mazzeo, and D. Saccà. A Grid Framework for Approximate Aggregate Query Answering on Summarized Sensor Network Readings. In Proc. of OTMW'04, 2004.
43. A. Cuzzocrea, F. Furfaro, S. Greco, E. Masciari, G.M. Mazzeo, and D. Saccà. A Distributed System for Answering Range Queries on Sensor Network Data. In Proc. of PerComW'05, 2005.
44. A. Cuzzocrea, and D. Saccà. Exploiting Compression and Approximation Paradigms for Effective and Efficient OLAP over Sensor Network Readings in Data Grid Environments. Concurrency and Computation: Practice and Experience, 2013.
45. A. Cuzzocrea. Providing Probabilistically-Bounded Approximate Answers to Non-Holistic Aggregate Range Queries in OLAP. In: Proc. of DOLAP'05, 2005.
46. A. Cuzzocrea, F. Furfaro, and D. Saccà. Enabling OLAP in Mobile Environments via Intelligent Data Cube Compression Techniques. Journal of Intelligent Information Systems 33(2), 2009.
47. A. Cuzzocrea. Accuracy Control in Compressed Multidimensional Data Cubes for Quality of Answer-based OLAP Tools. In Proc. of SSDBM'06, 2006.
48. A. Cuzzocrea, and P. Serafino. LCS-Hist: Taming Massive High- Dimensional Data Cube Compression. In Proc. of EDBT'09, 2009.
49. A. Cuzzocrea, D. Saccà, and P. Serafino. A Hierarchy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes. In Proc. of DaWaK'06, 2006.
50. A. Cuzzocrea, D. Saccà, and P. Serafino. Semantics-Aware Advanced OLAP Visualization of Multidimensional Data Cubes. International Journal of Data Warehousing and Mining 3(4), 2007.
51. A. Cuzzocrea. CAMS: OLAPing Multidimensional Data Streams Efficiently. In Proc. of DaWaK'09, 2009.
52. A. Cuzzocrea, and S. Chakravarthy. Event-Based Lossy Compression for Effective and Efficient OLAP Over Data Streams. Data & Knowledge Engineering 69(7), 2010.
53. A. Cuzzocrea, V. Russo, and D. Saccà. A Robust Sampling-Based Framework for Privacy Preserving OLAP. In Proc. of DaWaK'08, 2008.
54. S. Distefano, G. Merlino, and A. Puliafito. SAaaS: a Framework for Volunteer-Based Sensing Clouds. Parallel and Cloud Computing 1(2), 2012.
55. G. Fortino, M. Pathan, and G. Di Fatta. BodyCloud: Integration of Cloud Computing and Body Sensor Networks. In Proc. of CloudCom'12, 2012.
56. G. Fortino, R. Giannantonio, R. Gravina, P. Kuryloski, and R. Jafari. Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications. IEEE Transactions on Human-Machine Systems 43(1), 2013.
57. M. Subramanian, E.C. Conley, O.F. Rana, A. Hardisty, A.S. Ali, S.D. Luzio, D.R. Owens, S. Wright, T. Donovan, B.V. Bedi, D. Conway-Jones, D. Vyvyan, G. Arnold, C. Creasey, A. Horgan, T. Cox, and R. Waite. Novel Sensor Technology Integration for Outcome-Based Risk Analysis in Diabetes. HEALTHINF Vol. 2, 2008.