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M. Riveni, H. Truong, S. Dustdar:
"On the Elasticity of Social Compute Units";
Talk: 26th International Conference on Advanced Information Systems Engineering, CAiSE 2014, Thessaloniki, Greece; 2014-06-16 - 2014-06-20; in: "Advanced Information Systems Engineering, 26th International Conference, CAiSE 2014, Proceedings", M. Jarke, J. Mylopoulos, C. Quix, C. Rolland, Y. Manolopoulos, H. Mouratidis, J. Horkoff (ed.); Springer, LNCS 8484 (2014), ISBN: 978-3-319-07880-9; 364 - 378.

Advances in human computation bring the feasibility of utilizing
human capabilities as services. On the other hand, we have witnessed
emerging collective adaptive systemswhich are formed fromheterogeneous
types of compute units to solve complex problems.The recently introduced Social Compute Units (SCUs) present one type of these systems, which have human-based services as their core fundamental compute units. While, there is related work on forming SCUs and optimizing their performance with adaptation techniques, most of it is focused on static structures of SCUs. To provide better runtime performance and flexibility management for SCUs, we present an elasticity model for SCUs and mechanisms for their elastic management which allow for certain fluctuations in size, structure, performance and quality.We model states of elastic SCUs, present APIs for managing SCUs as well as metrics for controlling their
elasticity with which it is possible to tailor their performance parameters at runtime within the customer-set constraints. We illustrate our contribution with an example algorithm.

Social Compute Units, Elasticity, Adaptation, Collective Adaptive Systems.

http://dx.doi.org/10.1007/978-3-319-07881-6_25

Project Head Schahram Dustdar:
Hybrid and Diversity-Aware Collective Adaptive Systems: When People Meet Machines to Build a Smarter Society