EST

Call for paper
April Edition 2017

International Journal of Applied Information Systems solicits high quality original research papers for the
March 15, 2017
April 2017 Edition of the journal.
The last date of research paper submission is
March 15, 2017
SUBMIT YOUR PAPER

Number 10

Verified Message Exchange in Providing Security for Cloud Computing in Heterogeneous and Dynamic Environment

journal image
  • International Journal of Applied Information Systems
  • Foundation of Computer Science (FCS), NY, USA
  • Volume 12 - Number 1
  • Year of Publication: 2017
  • Authors: Khalid A. Fakeeh, PhD
  • 10.5120/ijais2017451568
 Download
340
  • Khalid A. Fakeeh and PhD. 2017. Comprehending Unpredictable/Random Behaviour by Applying Environment Performance Indicators in a Real Milieu. International Journal of Applied Information Systems. 12, 1 (April 2017), 15-18. DOI=http://dx.doi.org/10.5120/ijais2017451568
  • @article{10.5120/ijais2017451568,
    		author = {Khalid A. Fakeeh and PhD},
    		title = {Comprehending Unpredictable/Random Behaviour by Applying Environment Performance Indicators in a Real Milieu},
    		journal = {International Journal of Applied Information Systems},
    		issue_date = {April 2017},
    		volume = {12},
    		number = {1},
    		month = {Apr},
    		year = {2017},
    		issn = {2249-0868},
    		pages = {15-18},
    		numpages = {4},
    		url = {http://j34.ijais.org/archives/volume12/number1/970-2017451568},
    		doi = {10.5120/ijais2017451568},
    		publisher = {Foundation of Computer Science (FCS), NY, USA},
    		address = {New York, USA}
    	}
    
  • %0 Journal Article
    %1 2017451568
    %A Khalid A. Fakeeh
    %A PhD
    %T Comprehending Unpredictable/Random Behaviour by Applying Environment Performance Indicators in a Real Milieu
    %J International Journal of Applied Information Systems
    %@ 2249-0868
    %V 12
    %N 1
    %P 15-18
    %D 2017
    %I Foundation of Computer Science (FCS), NY, USA
    

Abstract

The purpose of this study is to propose a study into understanding unpredictable behaviour by applying environment performance indicators in a real environment. From the literature review, it is evident that a simulation model should be created that consists of environmental variables. This study is useful to managers and IT staff of a business to see how they can improve business processes.

References

  1. Ackoff, R.L (1999). Re-Creating the Corporation: A Design of Organizations for the 21st Century. Oxford University Press.
  2. Adamides et al, (2006). A knowledge centred framework for collaborative business process modelling. Business Process Management Journal. 12 (5), p557 - 575.
  3. Aguilar-Savén, R.S. (2003). Business process modelling: Review and framework. International Journal of Production Economics. 90, p129-149.
  4. Box and Taio (1973) G.E.P. Box, G.C. Taio Bayesian Inference in Statistical Analysis, Addison-Wesley, Reading, MA (1973).
  5. Bryman, et al, 2011. Business Research Methods. 3rd edition. Oxford: Oxford University Press.
  6. Collis et al, (2003). Business Research. 2nd ed. Palgrave Macmillan.
  7. Dantes. (2006). Environmental Performance Indicators, EPI. Available: http://www.dantes.info/Tools&Methods/Environmentalinformation/enviro_info_spi_epi.htmlLast accessed 13th May 2016.
  8. Giddens A. The constitution of society: Outline of the theory of structuration. Cambridge: Polity Press; 1984.
  9. Kettinger et al, (1997), “Business process change: a study of methodologies, techniques and tools”, MIS Quarterly, Vol. 21, pp. 55-80.
  10. Kruger, D. J. (2003). Integrating quantitative and qualitative methods in community research. The Community Psychologist, 36, 18-19.
  11. Melão et al. A conceptual framework for understanding business processes and business process modelling. Information Systems Journal. 10 (2), p105-129.
  12. Neville, C. (2007). Introduction to Research and Research Methods. Available: http://www.pasadena.edu/files/syllabi/stvillanueva_37670.pdf. Last accessed 11th May 2016.
  13. O'Neill, R. (2006). Advantages and disadvantages of quantitative data analysis. Available: http://archive.learnhigher.ac.uk/analysethis/mobile/main/quantitative1.html. Last accessed 12th May 2016.
  14. Rajala et al, (1996). A framework for customer oriented business process modelling. Computer Integrated Manufacturing Systems. 9 (3), p127-135.

Index Terms

Computer Science
Embedded Systems