Abstract
The emergence of complex computational problems, which cannot be solved solely by software and require human contribution, have brought the need of designing systems that efficiently manage a mix of software-based and human-based computational resources. Simulations are very appropriate for research on these systems, because they enable testing different scenarios, while avoiding the cost and time limitations of research in real systems. In this paper, we present a framework that enables the simulation of socially-enhanced applications utilizing both software and human based resources. Our framework addresses challenges in human-software environments, such as identifying relevant comparable metrics for mixed resources, mixed-resource selection, composition and scheduling algorithms, performance monitoring and analysis etc. We show the framework’s usefulness and usability through a use case.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bermbach, D., Kern, R., Wichmann, P., Rath, S., Zirpins, C.: An extendable toolkit for managing quality of human-based electronic services. In: Human Computation. Volume WS-11-11 of AAAI Workshops. AAAI (2011)
Bernstein, M.S., Little, G., Miller, R.C., Hartmann, B., Ackerman, M.S., Karger, D.R., Crowell, D., Panovich, K., Ma, C.: Soylent: A word processor with a crowd inside. In: Proc. UIST 2010 (2010)
Buyya, R., Murshed, M.: Gridsim: A toolkit for the modeling and simulation of distributed resource management and scheduling for grid computing. Concurrency and Computation: Practice and Experience (CCPE) 14(13), 1175–1220 (2002)
Calheiros, R.N., Ranjan, R., Rose, C.A.F.D., Buyya, R.: Cloudsim: A novel framework for modeling and simulation of cloud computing infrastructures and services. CoRR abs/0903.2525 (2009)
Chen, K.T., Wu, C.C., Chang, Y.C., Lei, C.L.: A crowdsourceable qoe evaluation framework for multimedia content. In: Proceedings of the 17th ACM International Conference on Multimedia, MM 2009, pp. 491–500. ACM, New York (2009)
Paolacci, G., Chandler, J., Ipeirotis, P.G.: Running experiments on amazon mechanical turk. Judgment and Decision Making 5(5), 411–419 (2010)
Schall, D., Truong, H.L., Dustdar, S.: Unifying human and software services in web-scale collaborations. IEEE Internet Computing 12, 62–68 (2008)
Shahaf, D., Horvitz, E.: Generalized task markets for human and machine computation. In: Fox, M., Poole, D. (eds.) AAAI. AAAI Press (2010)
Truong, H.L., Dustdar, S., Bhattacharya, K.: Programming hybrid services in the cloud. In: 10th International Conference on Service-oriented Computing (ICSOC 2012), Shanghai, China, Novemebr 12-16 (2012)
von Ahn, L.: Human Computation. PhD thesis, School of Computer Science, Carnegie Mellon University (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Riveni, M., Truong, HL., Dustdar, S. (2012). A Simulation Framework for Socially Enhanced Applications. In: Herrero, P., Panetto, H., Meersman, R., Dillon, T. (eds) On the Move to Meaningful Internet Systems: OTM 2012 Workshops. OTM 2012. Lecture Notes in Computer Science, vol 7567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33618-8_73
Download citation
DOI: https://doi.org/10.1007/978-3-642-33618-8_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33617-1
Online ISBN: 978-3-642-33618-8
eBook Packages: Computer ScienceComputer Science (R0)