Information and communication technology (ICT) pervades every aspect
of our daily lives. This inclusion changes our communities and all of
our human interactions. It also presents a significant set of challenges
in correctly designing and integrating our resulting technical systems.
For instance, the embedding of ICT functionality in more and more
devices (such as household appliances or thermostats) leads to novel
interconnections and a changing structure of the overall system. Not
only technical systems are increasingly coupled, a variety of previously
isolated natural and human systems have consolidated into a kind of
overall system of systems - an interwoven system structure.
This change of structure is fundamental and affects the whole
production cycle of technical systems :? Standard system integration and
testing is not feasible any more. The increasingly complex challenges
of developing the right type of modelling, analysis, and infrastructure
for designing and maintaining ICT infrastructures has continued to
motivate the self-organising, autonomic and organic computing systems
In this workshop, we intend to study novel approaches to system of
system integration and testing by applying self-* principles;
specifically we want approaches that allow for a continual process of
self-integration among components and systems that is self-improving and
evolving over time towards an optimised and stable solution.
Although research in self-organising systems ? such as the Organic
Computing (OC) and Autonomic Computing (AC) initiatives ? has seen an
exciting decade of development,with considerable success in building
individual systems, OC/AC is faced with the difficult challenge of
integrating multiple self-organising systems, and integrating
self-organising systems with traditionally engineered ones as well as
naturally occurring human organisations. Meanwhile, despite important
development in system of systems methodologies (e.g., Service-oriented
Architectures, cloud technology etc.), many of these developments lack
scalable methods for rapidly proving that new configurations of
components/subsystems are correctly used or their changes verified or
that these frameworks have pulled together the best possible
context-sensitive configuration of resources for a user or another
The SISSY workshop continues the successful predecessors held at IEEE
International Conference on Self-Adaptive and Self-Organising Systems
(SASO14) 2014 in London, UK; IEEE/ACM International Conference on
Autonomic Computing (ICAC15) 2015 in Grenobles, France; at IEEE/ACM
International Conference on Autonomic Computing (ICAC16) 2016 in
Würzburg, Germany; at IEEE SASO & ICAC (FAS*) 2017 in Tucson, USA;
at IEEE SASO & ICAC (FAS*) 2018 in Trento, Italy;
at the IEEE Foundations and Applications of Self-* Systems Conference (FAS*'19) 2019, in Ůmea, Sweden;
and at the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS20), 2020, in Washington, DC, USA (held online).
The workshop intends to focus on applying self-X principles to the integration of
Interwoven Systems (where an "Interwoven System" is a system cutting
across several technical domains, combining traditionally engineered
systems, systems making use of self-X properties and methods, and human
systems). The goal of the workshop is to identify key challenges
involved in creating self-integrating systems and consider methods to
achieve continuous self-improvement for this integration process.
Specifically, but not limited to, we are looking for work presenting ideas and approaches
inspired by nature, ecology, and society to overcoming these challenges.
The workshop specifically targets an interdisciplinary community of
researchers (i.e. from systems engineering, complex adaptive systems,
socio-technical systems, and the OC/AC domains) in the hope that
collective expertise from a range of domains can be leveraged to drive
forward research in the area.
Special Focus 2021: Multi-scale SISSY
The theme of this year's SISSY workshop is on integration across and among levels
in multi-scale systems
Multi-scale systems consist of processes that operate simultaneously, at different scales,
in terms of space, time and/or information granularity. E.g., sub-atomic particles self-integrate into atoms,
which in turn self-integrate into organic molecules, then cells, and organisms. Or, foraging ants self-organise
individual actions (lower scale) based on a collectively-created pheromone path (higher-scale, coarser information, slower change).
Generally, multi-scale systems allow modelling their different scales almost independently from each other
-- i.e. only relying on abstractions of adjacent scales, while ignoring details of other scales
(e.g. different disciplines for particle physics, molecular biology and morphogenesis).
However, processes operating at different scales impact on each other.
E.g. atom formation stabilizes and limits its sub-particle movements, the same holding for atoms within molecules,
molecules within cells and cells within organisms. Similarly, the pheromone path is created by individual ants,
whose behaviors are, in turn, guided by the pheromone path.
In complex technical systems, such as space systems, the properties of one subsystem can have surprising and
at times unfortunate interactions with other subsystems; many "side-effects" are the results of impacts of
different levels of different subsystems. E.g., simultaneously executing sub-systems can collectively increase
local temperature, create electromagnetic fields or information overloads, which may, in turn,
impact the communication bus or other system functions.
This year's SISSY workshop aims to explore complex SISSY systems where multiple self-integrating and self-improving processes
operate simultaneously, at various scales, impacting each other in various ways. All subjects of interest to SISSY are relevant here,
with a specific focus on their multi-scale aspects and their role in overall system properties,
such as efficacity, stability, flexibility or controllability.
Special Issue in the Journal of Future Generation Computer Systems
Self-integrating Systems: Mastering Continuous Change
To appear in April 2021
"Future Generation Computer Systems"
- Kirstie Bellman (Topcy House Consulting, US)
- Ada Diaconescu (Telecom Paris, Institut Polytechnique de Paris, FR)
- Sven Tomforde (Christian-Albrechts-Universität zu Kiel, DE)
is a forum for the publication of peer-reviewed, high-quality original papers showing advances in distributed systems,
collaborative environments, high performance and high-performance computing, Big Data on such infrastructures as grids,
clouds and the Internet of Things (IoT), is seeking original manuscripts for a Special Issue on Self-integrating Systems:
Mastering Continuous Change (SELF-INTEGRATION) scheduled to appear in 2021.
Special issue on “self-improving self integration”
List of papers:
- K. L. Bellman, J. Botev, A. Diaconescu, L. Esterle, C. Gruhl, C. Landauer,
P. R. Lewis, P. R. Nelson, E. Pournaras, A. Stein, S. Tomforde,
Self-improving system integration: Mastering continuous change,
Gener. Comput. Syst. 117 (2021), 29–46.
- F. Fanitabasi, E. Gaere, E. Pournaras,
A self-integration testbed for decentralized socio-technical systems,
Future Gener. Comput. Syst. 113 (2020), 541–555.
- A. Burger, C. Cichiwskyj, S. Schmeißer, G. Schiele,
The elastic internet
of things - A platform for self-integrating and self-adaptive IoT-systems
with support for embedded adaptive hardware,
Future Gener. Comput.
Syst. 113 (2020), 607–619
- V. Lesch, C. Krupitzer, K. Stubenrauch, N. Keil, C. Becker, S. Kounev,
A comparison of mechanisms for compensating negative impacts
of system integration,
Future Gener. Comput. Syst. 116 (2021), 117–131.
- C. M. Barnes, A. Ek´art, P. R. Lewis,
Beyond goal-rationality: Traditional
action can reduce volatility in socially situated agents,
Comput. Syst. 113 (2020), 579–596.
- I. Riley, S. Jahan, A. Marshall, C.Walter, R. F. Gamble,
awareness as a method for assessing adaptation risk,
Comput. Syst. xxx (2021), xxx–xxx.
- C. Gruhl, B. Sick, S. Tomforde,
Novelty detection in continuously changing
Future Gener. Comput. Syst. 114 (2021), 138–154.
- A. Diaconescu, L. J. D. Felice, P. Mellodge,
Exogenous coordination in
multi-scale systems: How information flows and timing affect system
Future Gener. Comput. Syst. 114 (2021), 403–426.
- D. Pianini, R. Casadei, M. Viroli, A. Natali,
Partitioned integration and
coordination via the self-organising coordination regions pattern,
Gener. Comput. Syst. 114 (2021) 44–68.