Abstract
With the increase in utilization and pervasiveness of smart gadgets, there is a rise in new application domains. For that reason, computational technologies are progressing very rapidly, and computations are becoming an essential part of our life. Cyber-physical systems (CPSs) are a new evolution in computing that are integrated with the real world along with the physical devices to provide control in real-time environments. CPS generally takes input through sensors and controls the physical system through cyber systems using actuators. Such systems are really complex and challenging as they control real environments. This necessitates a proper interfacing of physical and cyber domains. To this end, the data generated by physical devices is getting bigger and bigger that is collectively acknowledged as big data. The real challenge in interfacing cyber and physical domains is the efficient management of big data. Accordingly, this chapter discusses big data sources and the relevant computing paradigms. It also classifies and discusses the main phases of data management for interfacing CPS, viz., data acquisition, data preprocessing, storage, query processing, data analysis, and actuation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Buyya R, Yeo CS, Venugopal S, Broberg J, Brandic I (2009) Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Futur Gener Comput Syst 25(6):599–616
Wolf W (2009) Cyber-physical systems. Computer 3:88–89
Baheti R, Gill H (2011) Cyber-physical systems. Impact Control Technol 12:161–166
Rajkumar R, Lee I, Sha L, Stankovic J (2010) Cyber-physical systems: the next computing revolution. In: Proceedings of the 47th design automation conference. ACM, pp 731–736
Shaikh FK, Zeadally S (2015) Mobile sensors in cyber-physical systems. Book Chapter in cyber physical system design with sensor networking technologies, IET, 2015 (to appear)
Wu FJ, Kao YF, Tseng YC (2011) From wireless sensor networks towards cyber physical systems. Pervasive Mob Comput 7(4):397–413
Haque AS, Aziz SM, Rahman M (2014) Review of cyber-physical system in healthcare. Int J Distrib Sens Netw 2014:1–20
Kim JE, Mosse D (2008) Generic framework for design, modeling and simulation of cyber physical systems. ACM SIGBED Rev 5:1
Bloomberg J (2013) The big data long tail. http://www.devx.com/blog/the-big-data-long-tail.html. Accessed 17 Jan 2015
Kambatla K, Kollias G, Kumar V, Grama A (2014) Trends in big data analytics. J Parallel Distr Com 74(7):2561–2573
Madden S (2012) From databases to big data. IEEE Internet Comput 3:4–6
Rouse M (2015) 3Vs (volume, velocity & variety). http://whatis.techtarget.com/definition/3Vs. Accessed Apr 2015
Hitachi Data Systems (2015) Capitalize on big data. http://www.hds.com/assets/pdf/hitachi-webtech-educational-series-capitalize-on-big-data.pdf. Accessed 20 Mar 2015
Hurwitz J, Nugent A, Halper F, Kaufman M (2015) Structured data in a big data environment. www.dummies.com/howto/ content/structured-data-in-a-big-data-environment.html. Accessed 2 Apr 2015
Shaikh FK, Zeadally S, Siddiqui F (2013) Energy efficient routing in wireless sensor networks. In: Next-generation wireless technologies. Springer, London, pp 131–157
Rouse M (2006) Wireless sensor networks. http://searchdatacenter.techtarget.com/definition/sensor-network. Accessed 20 Feb 2015
Akyildiz IF, Vuran MC (2010) Wireless sensor networks, 4th edn. Wiley, New York
Rios LG, Diguez JEAI (2014) Big data infrastructure for analyzing data generated by wireless sensor networks. In: IEEE international congress on big data (BigData Congress), 2014. IEEE, pp 816–823
Jardak C, Riihijärvi J, Oldewurtel F, Mähönen P (2010) Parallel processing of data from very large-scale wireless sensor networks. In: Proceedings of the 19th ACM international symposium on high performance distributed computing. ACM, pp 787–794
Fan T, Zhang X, Gao F (2013) Cloud storage solution for WSN in internet innovation union. Int J Database Theory Appl 6(3):49–58
Ahmed K, Gregory M (2011) Integrating wireless sensor networks with cloud computing. In: Seventh international conference on Mobile Ad-hoc and Sensor Networks (MSN), 2011. IEEE, pp 364–366
Kwak H, Lee C, Park H, Moon S (2010) What is Twitter, a social network or a news media?. In: Proceedings of the 19th international conference on world wide web. ACM, pp 591–600
Ellison NB, Steinfield C, Lampe C (2007) The benefits of Facebook “friends:” social capital and college students’ use of online social network sites. J Comput-Mediat Commun 12(4):1143–1168
Gilbert E, Bakhshi S, Chang S, Terveen L (2013) I need to try this?: a statistical overview of pinterest. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 2427–2436
Shervington M (2015) What is google Plus? A complete user guide. http://www.martinshervington.com/what-is-google-plus/. Accessed 20 Apr 2015
Hochman N, Schwartz R (2012) Visualizing instagram: tracing cultural visual rhythms. In: Proceedings of the workshop on Social Media Visualization (SocMedVis) in conjunction with the sixth international AAAI conference on Weblogs and Social Media (ICWSM–12), pp 6–9
Watson I, Mullen J, Smith-Spark L (2015) CNN. Nepal earthquake: death toll passes 4,800 as rescuers face challenges. http://edition.cnn.com/2015/04/28/asia/nepal-earthquake/. Accessed on 05 May 2015
Ravilious K (2015) Nepal quake ‘followed historic pattern’. http://www.bbc.com/news/science-environment-32472310. Accessed on 28 Apr 2015
Garg Y, Chatterjee N (2014) Sentiment analysis of Twitter feeds. In: Big data analytics. Springer International Publishing Switzerland, pp 33–52
Felemban E, Sheikh AA, Shaikh FK (2014) MMaPFlow: a crowd-sourcing based approach for mapping mass pedestrian flow. In: Proceedings of the 11th international conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MOBIQUITOUS ’14)
Yousefi S, Mousavi MS, Fathy M (2006) Vehicular ad hoc networks (VANETs): challenges and perspectives. In: 6th international conference on ITS telecommunications proceedings, 2006. IEEE, pp 761–766
Ali F, Shaikh FK, Ansari AQ, Mahoto NA, Felemban E (2015) Comparative analysis of VANET routing protocols- on placement of road side units. Int J Wirel Pers Commun, Springer, pp 1–14, 2015. doi:10.1007/s11277-015-2745-z
Zhang Y, Zhao J, Cao G (2010) Roadcast: a popularity aware content sharing scheme in vanets. ACM SIGMOBILE Mobile Comput Commun Rev 13(4):1–14
Sutariya D, Pradhan SN (2010) Data dissemination techniques in vehicular ad hoc network. Int J Comput Appl 8(10):35–39
Dubey BB, Chauhan N, Kumar P (2010) A survey on data dissemination techniques used in VANETs. Int J Comput Appl 10(7):5–10
Talpur A, Baloch N, Bohra N, Shaikh FK, Felemban E (2014) Analyzing the impact of body postures and power on communication in WBAN. Procedia Comput Sci 32:894–899
Khelil A, Shaikh FK, Sheikh AA, Felemban E, Bojan H (2014) DigiAID: a wearable health platform for automated self-tagging in emergency cases, In: 4th international conference on wireless Mobile Communication and Healthcare (Mobihealth), 2014 EAI, pp 296,299
Aziz Z, Qureshi UM, Shaikh FK, Bohra N, Khelil A, Felemban E (2015) Revisiting routing in wireless body area networks. In: Emerging communication technologies based on wireless sensor networks: current research and future applications. CRC Press (to appear)
TDWI Best Practices Report (2015) Managing big data. http://tdwi.org/research/2013/10/tdwi-best-practices-report-managing-big-data.aspx?tc=page0. Accessed 01 Mar 2015
Dinh HT, Lee C, Niyato D, Wang P (2013) A survey of mobile cloud computing: architecture, applications, and approaches. Wirel Commun Mob Comput 13(18):1587–1611
Agrawal D, Das S, El Abbadi A (2010) Big data and cloud computing: new wine or just new bottles? Proc VLDB Endowment 3(1–2):1647–1648
Elazhary H (2014) Cloud computing for big data. MAGNT Res Rep 2(4):135–144
Gartner IT glossary (2013) Cloud computing. http://www.gartner.com/it-glossary/cloud-computing. Accessed 01 Apr 2015
Rodero-Merino L, Vaquero LM, Gil V, Galán F, Fontán J, Montero RS, Llorente IM (2010) From infrastructure delivery to service management in clouds. Futur Gener Comput Syst 26(8):1226–1240
Patidar S, Rane D, Jain P (2012) A survey paper on cloud computing. In: Second international conference on Advanced Computing & Communication Technologies (ACCT), 2012. IEEE, pp 394–398
Khajeh-Hosseini A, Sommerville I, Bogaerts J, Teregowda P (2011) Decision support tools for cloud migration in the enterprise. In: IEEE international conference on Cloud Computing (CLOUD), 2011. IEEE, pp 541–548
Hashem IAT, Yaqoob I, Anuar NB, Mokhtar S, Gani A, Khan SU (2015) The rise of “big data” on cloud computing: review and open research issues. Inf Syst 47:98–115
Abadi DJ (2009) Data management in the cloud: limitations and opportunities. IEEE Data Eng Bull 32(1):3–12
Das S, Agrawal D, El Abbadi A (2009) Elastras: an elastic transactional data store in the cloud. USENIX HotCloud 2:7
Valduriez P (2009) Shared-memory architecture. In: Encyclopedia of database systems. Springer US, New York, pp 2638–2638
Jill Dyche (2015) Data as a service explained and defined. http://searchdatamanagement.techtarget.com/answer/Data-as-a-service-explained-and-defined Accessed on 20 Mar 2015
Demirkan H, Delen D (2013) Leveraging the capabilities of service-oriented decision support systems: putting analytics and big data in cloud. Decis Support Syst 55(1):412–421
Mathiprakasam M (2015) The road to analytics as a service. http://www.forbes.com/sites/oracle/2014/09/26/the-road-to-analytics-as-a-service/. Accessed on 20 Mar 2015
Poovendran R (2010) Cyber–physical systems: close encounters between two parallel worlds [point of view]. Proc IEEE 98(8):1363–1366
Shaikh FK, Zeadally S, Exposito E (2015) Enabling technologies for green internet of things. IEEE Syst J 99:1–12
Rajhans A, Cheng SW, Schmerl B, Garlan D, Krogh BH, Agbi C, Bhave A (2009) An architectural approach to the design and analysis of cyber-physical systems. Electronic Communications of the EASST, 21:1–10
CPS Steering Group (2008) Cyber-physical systems executive summary. CPS Summit
Simmon E, Kim KS, Subrahmanian E, Lee R, de Vaulx F, Murakami Y, Zettsu K, Sriram RD (2013) A vision of cyber-physical cloud computing for smart networked systems. NIST, Gaithersburg
Mokashi M, Alvi AS (2013) Data management in wireless sensor network: a survey. Int J Adv Res Comput Commun Eng 2:1380–1383
Padgavankar MH, Gupta SR (2014) Big data storage and challenges. Int J Comput Sci Inf Technol 5:2
Sathe S, Papaioannou TG, Jeung H, Aberer K (2013) A survey of model-based sensor data acquisition and management. In: Managing and mining sensor data. Springer US, New York, pp 9–50
Aggarwal CC (2013) Managing and mining sensor data. Springer Science & Business Media, New York
Chapman AD (2005) Principles and methods of data cleaning. GBIF, Copenhagen
Jeffery SR, Alonso G, Franklin MJ, Hong W, Widom J (2006) A pipelined framework for online cleaning of sensor data streams. IEEE, p 140
Elmenreich W (2002) Sensor fusion in time-triggered systems, Ph.D. thesis, Faculty of Informatics at the Vienna University of Technology, Austria. http://www.vmars.tuwien.ac.at/~wilfried/papers/elmenreich_Dissertation_sensorFusionInTimeTriggeredSystems.pdf
Hall David L, Llinas J (1997) An introduction to multisensor data fusion. Proc IEEE 85(1):6–23
Castanedo F (2013) A review of data fusion techniques. Sci World J 2013:1–19
Kimura N, Latifi S (2005) A survey on data compression in wireless sensor networks. In: International conference on Information Technology: Coding and Computing (ITCC), 2005, vol. 2. IEEE, pp 8–13
Marcelloni F, Vecchio M (2008) A simple algorithm for data compression in wireless sensor networks. Commun Lett IEEE 12(6):411–413
Agrawal R, Faloutsos C, Swami A (1993) Efficient similarity search in sequence databases. Springer, Berlin/Heidelberg, pp 69–84
Gandhi S, Nath S, Suri S, Liu J (2009) Gamps: compressing multi sensor data by grouping and amplitude scaling. In: Proceedings of the 2009 ACM SIGMOD international conference on management of data. ACM, pp 771–784
Wang L, Deshpande A (2008) Predictive modeling-based data collection in wireless sensor networks. In: Wireless sensor networks. Springer, Berlin/Heidelberg, pp 34–51
Arion A, Jeung H, Aberer K (2011) Efficiently maintaining distributed model-based views on real-time data streams. In: Global Telecommunications Conference (GLOBECOM 2011). IEEE, pp 1–6
Xing K, Cheng X, Li J (2005) Location-centric storage for sensor networks. In: IEEE international conference on mobile adhoc and sensor systems conference. IEEE, p 10
Petit L, Nafaa A, Jurdak R (2009) Historical data storage for large scale sensor networks. In: Proceedings of the 5th French-speaking conference on mobility and ubiquity computing. ACM, pp 45–52
Diao Y, Ganesan D, Mathur G, Shenoy PJ (2007) Rethinking data management for storage-centric sensor networks. In: CIDR, vol. 7, pp 22–31
Dutta P, Culler DE, Shenker S (2007) Procrastination might lead to a longer and more useful life. In: The sixth workshop on Hot Topics in Networks (HotNets-VI) pp 1–7
Deshpande A, Madden S (2006) MauveDB: supporting model-based user views in database systems. In: Proceedings of the 2006 ACM SIGMOD international conference on management of data. ACM, pp 73–84
Kanagal B, Deshpande A (2008) Online filtering, smoothing and probabilistic modeling of streaming data. In: IEEE 24th international conference on Data Engineering, ICDE 2008. IEEE, pp 1160–1169
Bhattacharya A, Meka A, Singh AK (2007) Mist: distributed indexing and querying in sensor networks using statistical models. In: Proceedings of the 33rd international conference on very large data bases. VLDB Endowment, pp 854–865
Cugola G, Margara A (2012) Processing flows of information: from data stream to complex event processing. ACM Comput Surv (CSUR) 44(3):15
Babcock B, Babu S, Datar M, Motwani R, Widom J (2002) Models and issues in data stream systems. In: Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on principles of database systems. ACM, pp 1–16
Luckham D (2002) The power of events, vol 204. Addison-Wesley, Reading
Golab L, Özsu MT (2003) Issues in data stream management. ACM Sigmod Rec 32(2):5–14
Dunkel J (2009) On complex event processing for sensor networks. In: International symposium on autonomous decentralized systems, 2009. ISADS’09. IEEE, pp 1–6
Miller S (2013) Big data analytics. Podcasts at Singapore Management University, Available at: http://ink.library.smu.edu.sg/podcasts/8
Big Data in the Cloud Converging Technologies-Intel (2014) http://www.intel.com/content/www/us/en/big-data/big-data-cloud-technologies-brief.html. Accessed on Apr 2015
Tang LA, Yu X, Kim S, Han J, Peng WC, Sun Y, Gonzalez H, Seith S (2012) Multidimensional analysis of atypical events in cyber-physical data. In: IEEE 28th international conference on Data Engineering (ICDE), 2012. IEEE, pp 1025–1036
Tang LA, Yu X, Kim S, Han J, Peng WC, Sun Y, Leung A, La Porta T (2012) Multidimensional sensor data analysis in cyber-physical system: an atypical cube approach. Int J Distrib Sens Netw 2012:1–19
Yu X, Tang LA, Han J (2009) Filtering and refinement: a two-stage approach for efficient and effective anomaly detection. In: Ninth IEEE international conference on Data Mining, 2009. ICDM’09. IEEE, pp 617–626
Tang LA, Yu X, Kim S, Han J, Hung CC, Peng WC (2010) Tru-alarm: trustworthiness analysis of sensor networks in cyber-physical systems. In: IEEE 10th international conference on Data Mining (ICDM), 2010. IEEE, pp 1079–1084
Xia F, Kong X, Xu Z (2011) Cyber-physical control over wireless sensor and actuator networks with packet loss. In: Wireless networking based control. Springer, New York, pp 85–102
Thouin F, Thommes R, Coates MJ (2006) Optimal actuation strategies for sensor/actuator networks. In: 3rd annual international conference on mobile and ubiquitous systems: networking & services, 2006. IEEE, pp 1–8
Conti M, Das SK, Bisdikian C, Kumar M, Ni LM, Passarella A, Roussos G, Tröster G, Tsudik G, Zambonelli F (2012) Looking ahead in pervasive computing: challenges and opportunities in the era of cyber–physical convergence. Pervasive Mob Comput 8(1):2–21
Guturu P, Bhargava B (2011) Cyber-physical systems: a confluence of cutting edge technological streams. International conference on advances in computing and communication
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Baloch, Z., Shaikh, F.K., Unar, M.A. (2016). Interfacing Physical and Cyber Worlds: A Big Data Perspective. In: Mahmood, Z. (eds) Data Science and Big Data Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-31861-5_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-31861-5_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-31859-2
Online ISBN: 978-3-319-31861-5
eBook Packages: Computer ScienceComputer Science (R0)