JGIS  Vol.5 No.6 , December 2013
The Necessity of Using Cloud Computing in Monitoring Metropolitan Performance
-Case Study: Tehran Metropolitan Urban Observatory
ABSTRACT

Due to the metropolitan area of immense diversity and breadth of their construction activities, the performance of activities at districts level, cannot be precisely evaluated. Therefore, generally, it monitors only the indices which are defined for those functions. Furthermore, district-based development policy, and decentralization of governance, necessitate more local autonomy, which requires closer monitors of districts for being sure of its movements in the frame of urban developing plans. The advancement of technology has created the expectation that we can monitor all details of the metropolitan administrative processes and involve them in decision support systems for urban management. In this study, a web based SDSS prototype has been implemented to monitor the Tehran development plans progress at districts level. This interactive system presents a map of Tehran which indicates the realization of each component of the city master plan in different parts of town. The design of system lets all districts produce and support their own reporting maps, and it presents them in their dedicated place of city map by snapping all districts reports, when a city report arises. Also it elaborates the problem of implementing and proposes cloud computing facilities as a solution.


Cite this paper
A. Madad, A. Gharagozlou and A. Nejad, "The Necessity of Using Cloud Computing in Monitoring Metropolitan Performance
-Case Study: Tehran Metropolitan Urban Observatory," Journal of Geographic Information System, Vol. 5 No. 6, 2013, pp. 521-530. doi: 10.4236/jgis.2013.56049.
References
[1]   G. R. Stephens and N. Wikstrom, “Metropolitan GOVERNMENT and Governance: Theoretical Perspectives, Empirical Analysis, and the Future,” Oxford University Press, New York, 2000.

[2]   D. Triantakonstantis and G. Mountrakis, “Urban Growth Prediction: A Review of Computational Models and Human Perceptions,” Journal of Geographic Information System, Vol. 4, No. 6, 2012, pp. 555-587.
http://dx.doi.org/10.4236/jgis.2012.46060

[3]   “Monitoring Human Settlements with Urban Indicators,” Habitat, Kenya, 1997.

[4]   B. Au-Yeung, et al., “Brisbane Urban Growth Model: An Integrated Infrastructure Management. Green Technologies: Concepts, Methodologies, Tools and Applications,” 2011, p. 283.

[5]   M. Mohan, et al., “Dynamics of Urbanization and Its Impact on Land-Use/Land-Cover: A Case Study of Megacity Delhi,” Journal of Environmental Protection, Vol. 2, No. 9, 2011, pp. 1274-1283.

[6]   M. Polidoro, J. A. de Lollo and M. V. F. Barros, “Urban Sprawl and the Challenges for Urban Planning,” Journal of Environmental Protection, Vol. 3, No. 9, 2012, pp. 1010-1019.
http://dx.doi.org/10.4236/jep.2012.39117

[7]   J. Zhang, et al., “The Administrative Division and Regional Governance in Urban Agglomeration Areas,” City Planning Review, Vol. 9, 2002, p. 012.

[8]   E. Canel, “Municipal Decentralization and Participatory Democracy: Building a New Mode of Urban Politics in Montevideo City?” Revista Europea de Estudios Latinoamericanos y del Caribe/European Review of Latin American and Caribbean Studies, 2001, pp. 25-46.

[9]   Foundation, “Trends in Urbanisation and Urban Policies in OECD Countries: What Lessons for China?” OECD Publishing, 2010.

[10]   Killam, “Vision, Mission, Goals & Objectives ... oh My!” Group Works, #6107, 2003.

[11]   C. Pelizaro and D. McDonald, “Spatial (GIS-Based) Decision Support System for the Westernport Region,” Applied GIS, Vol. 2, 2006.
http://dx.doi.org/10.2104/ag060017

[12]   J. Choi, et al., “Utilizing Web-Based GIS and SDSS for Hydrological Land Use Change Impact Assessment,” Transactions of the ASAE, Vol. 48, No. 2, 2005, pp. 815-822.

[13]   X. Lu, “An Investigation on Service-Oriented Architecture for Constructing Distributed Web Gis Application,” IEEE International Conference on Services Computing, Vol. 1, 2005, pp. 191-197.

[14]   Wikipedia, “Open Geospatial Consortium,” 2013.
http://en.wikipedia.org/wiki/Open_Geospatial_Consortium

[15]   OGC, “OGC Standards and Supporting Documents,” 2013. http://www.opengeospatial.org/standards

[16]   A. Alesheikh, H. Helali and H. Behroz, “Web GIS: Technologies and Its Applications,” Symposium on Geospatial theory, Processing and Applications, 2002.

[17]   Geoserver, “Welcom to Geoserver,” 2013.
http://geoserver.org/display/GEOS/Welcome

[18]   F. Akinyemi, “Preliminary Design of a Spatial Decision Support System for Poverty Management,” International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences, Vol. 35, No. 2, 2004, pp. 313-318.

[19]   J. Burdziej, “A Web-Based Spatial Decision Support System for Accessibility Analysis—Concepts and Methods,” Applied Geomatics, Vol. 4, No. 2, 2011, pp. 75-84.

[20]   C. Yang, et al., “Spatial Cloud Computing: How Can the Geospatial Sciences Use and Help Shape Cloud Computing?” International Journal of Digital Earth, Vol. 4, No. 4, 2011, pp. 305-329.

[21]   Z. Khan, et al., “An Architecture for Integrated Intelligence in Urban Management Using Cloud Computing,” Journal of Cloud Computing, Vol. 1, No. 1, 2012, pp. 1-14.

[22]   Merwe, et al., “Towards a Ubiquitous Cloud Computing Infrastructure,” 17th IEEE Workshop on Local and Metropolitan Area Networks, 2010.

[23]   M. Naghavi, “Cloud Computing as an Innovation in GIS & SDI: Methodologies, Services, Issues and Deployment Techniques,” Journal of Geographic Information System, Vol. 4, No. 6, 2012, pp. 597-607.

[24]   P. Goyal, R. Mikkilineni and M. Ganti, “FCAPS in the Business Services Fabric Model,” 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises, 2009.

[25]   B. Golden, “Virtualization for Dummies,” For Dummies, 2008.

[26]   A. Fox, et al., “Above the Clouds: A Berkeley View of Cloud Computing,” University of California, Berkeley, Rep. UCB/EECS, 2009.

[27]   U. Sait, “The Future of Cloud Computing,” Intel Executive Summary, 2008.

[28]   B. P. Rimal, E. Choi and I. Lumb, “A Taxonomy and Survey of Cloud Computing Systems,” 5th International Joint Conference on INC, IMS and IDC, 2009.

 
 
Top