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Issue No.03 - May/June (2011 vol.15)
pp: 64-69
Schahram Dustdar , Technical University of Vienna
Kamal Bhattacharya , IBM Research — India
ABSTRACT
<p>Social computing is perceived mainly as a vehicle for establishing and maintaining private relationships and thus lacks mainstream adoption in enterprises. Collaborative computing, however, is firmly established, but no tight integration of the two approaches exists. Here, the authors look at how to integrate people, in the form of human-based computing, and software services into one composite system.</p>
INDEX TERMS
social computing, service-oriented computing, workflow, social compute unit, social compute power
CITATION
Schahram Dustdar, Kamal Bhattacharya, "The Social Compute Unit", IEEE Internet Computing, vol.15, no. 3, pp. 64-69, May/June 2011, doi:10.1109/MIC.2011.68
REFERENCES
1. D. Schall, S. Dustdar, and M.B. Blake, "Programming Human and Software-Based Web Services," Computer, July 2010, pp. 82–85.
2. D. Schall, H.-L. Truong, and S. Dustdar, "Unifying Human and Software Services in Web-Scale Collaborations," IEEE Internet Computing, vol. 12, no. 3, 2008, pp. 62–68.
3. D. Schall and S. Dustdar, "Dynamic Context-Sensitive PageRank for Expertise Mining," Proc. 2nd Int'l Conf. Social Informatics (SocInfo 10), Springer, 2010, pp. 160–175.
4. C. Dorn and S. Dustdar, "Composing Near-Optimal Expert Teams: A Trade-Off between Skills and Connectivity," Proc. 18th Int'l Conf. Cooperative Information Systems (CoopIS 10), Springer, 2010, pp. 27–29.
5. F. Skopik, D. Schall, and S. Dustdar, "Modeling and Mining of Dynamic Trust in Complex Service-Oriented Systems," Elsevier Information Systems J., vol. 35, no. 7, 2010, pp. 735–757.
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