Abstract. Advances in human computation bring the feasibility of utilizing human capabilities as services. On the other hand, we have witnessed emerging collective adaptive systems which are formed from heterogeneous 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 exibility management for SCUs, we present an elasticity model for SCUs and mechanisms for their elastic management which allow for certain uctuations 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.

Keywords: social compute units, elasticity, adaptation, collective adaptive systems

doi: http://link.springer.com/chapter/10.1007%2F978-3-319-07881-6_25

Citation: Mirela Riveni, Hong-Linh Truong, Schahram Dustdar. On the Elasticity of Social Compute Units, Springer-Verlag, 26th International Conference on Advanced Information Systems Engineering (CAiSE 2014), 16-20 June 2014, Thessaloniki, Greece. Accepted.

Download: http://bit.ly/268Pw3j

EASSS 2014 will be held at the Technical University of Crete, Chania, Greece , from the 14th July to the 18th July 2014. Primarily focussed on single and multi-agent systems, this year’s school will feature additional courses covering topics related to social intelligence. It will be co-organised by the European Network for Social Intelligence and serves as their official Summer School.

Please note the deadline for early registration, which is the 31st May 2014. You can view the school’s complete schedule here.

Important Dates

Submissions due: February 7, 2014
Notification of Acceptance: February 28, 2014 Upload of Final
Publication Files: March 10, 2014

Aim and Scope

Contemporary collaboration settings are often associated with huge, ever-increasing amounts of multiple types of data, which may vary in terms of relevance, subjectivity and importance, ranging from individual opinions to broadly accepted practices. In such settings, collective sense making is crucial for well-informed decision making. This sense making process may both utilize and provide input to intelligent information analysis tools.

This session aims to bring together researchers and practitioners from different scientific fields and research communities to exchange experiences and discuss the topic of how data-intensive and cognitively-complex sense making and decision making within diverse types of teams can be facilitated and augmented. The session will offer a venue for targeted discussion on the development and evaluation of innovative services that shift in focus from the mere collection and representation of large-scale information to its meaningful assessment, aggregation and utilization. Of particular interest are approaches that bring together the reasoning capabilities of the machine and the humans in contemporary collaborative settings.

In parallel, much interest is given to larger issues surrounding analytical practices and data sharing practices in the above settings.

Submissions are expected to cover a number of main themes (research issues), including:

• Innovative approaches to the exploration, delivery and visualization of the pertinent information.
• Novel collaboration tools and platforms for handling ill-defined domains.
• Collaborative sense making of real-world multi-faceted data.
• Novel mechanisms for understanding collaborative patterns and
  intelligent probing.
• Advances in cloud computing and scalable high-performance data
  mining for data-intensive collaboration.

Co-chairs:
Nikos Karacapilidis, University of Patras & CTI, Greece Lydia Lau,
University of Leeds, UK Pavlos Peppas, University of Patras, Greece

Submissions:
See: http://idt-14.kesinternational.org/submission.php

Contact:
Nikos Karacapilidis
University of Patras & CTI
GR 26500 Rion-Patras, Greece
Tel: (+30)-2610-997906
nikos@mech.upatras.gr
http://www.mech.upatras.gr/~nikos/