Cognitive Capacities for Large-Scale Distributed Systems
The Science Partner Journal Intelligent Computing is now seeking submissions for a special issue, Cognitive Capacities for Large-Scale Distributed Systems.
Distributed computing continuum systems are emerging systems in which an application is concurrently executed in all computing tiers, namely: IoT, Edge-, Fog- and Cloud- computing. This feature allows applications to benefit from the best of each computing tier, from high performance and capacity from the Cloud, to low-latency and privacy standards from the Edge. However, this also brings together each tier's idiosyncrasy, highly increasing the overall system’s complexity and scale. Autonomous vehicles, personalized health assistance, resource and energy management, augmented/virtual reality, and many other fields are requiring distributed computing continuum systems to become real for our society.
However, most of the research done in the field addresses specific challenges and does not bring general solutions. Even if a one-size-fits-all solution cannot be possible, working towards general methodologies is of foremost importance. In this regard, distributed computing continuum systems require new approaches that do not stem from classical Internet distributed systems or that just expand techniques that work for Cloud computing.
One key enabler for these systems is cognitive capacities, which is interpreted as the capacity of monitoring the system’s state and environment, understanding its situation with respect to its expectation, and providing a corrective/adaptive action. In this regard, distributed computing continuum systems are as complex as they are large, which urges the development of cognitive capacities to autonomously address issues that might be faced.
This special issue calls for techniques and solutions that could be implemented or adapted to distributed computing continuum systems in order to provide this cognitive capacity, specifically techniques that could enable cognitivity (adaptivity) on large, opportunistic, decentralized, highly interconnected, and open systems. However, we are interested in stepping away from canonical distributed computing research and looking towards scientific research from other fields that could fit these systems. This way, we aim at expanding the research horizon and capacity of future research to find solutions to enable distributed computing continuum systems.
In this special issue of Intelligent Computing, a Science Partner Journal (SPJ), both Research Articles and Review Articles are solicited. More detailed submission instructions, such as manuscript format and submission guidance, are provided on the “For Authors” page.
Note that the exceptional merits and advantages of this special issue are: very quick publication (less than 2 months after submission, if acceptable), Open Access to widely global readership via various prestigious AAAS & SPJ-enabled pipelines, and no APCs (article processing charges) until 2025.
Schahram Dustdar, Technische Universität Wien (TU Wien), Austria
Victor Casamayor Pujol, Technische Universität Wien (TU Wien), Austria
The timeline for the submission and review process is as follows (all deadlines are 23:59 (11:59PM) anywhere on earth).
- Paper submission: 29 October 2022
- Review notification: 15 December 2022
- Reviewed submission: 15 January 2023
Please indicate in your cover letter that your submission is intended for inclusion in the special issue on Cognitive Capacities for Large-Scale Distributed Systems.