Minitrack in Cognitive Cloud Continuum Ecosystems: Theory and Practice (HICSS57 co-organised by ASSIST-IoT and aerOS projects as part of the Hawaii International Conference on System Sciences (HICSS)), Honolulu, Hawaii, January 3-6, 2024. Call for papers is open. Submission deadline 15 June 2023.

CALL FOR PAPERS

Cognitive Cloud Continuum Ecosystems: Theory and Practice, Honolulu, Hawaii, January 3-6, 2024 – part of the Hawaii International Conference on System Sciences (HICSS)), Honolulu, Hawaii, January 3-6, 2024. HICSS57 Minitrack co-organised by ASSIST-IoT and aerOS projects. More info here.

Call for papers is now open. Deadline submission June 15, 2023 | 11:59 pm HST.

Cognitive Cloud is an enhanced Cloud-Fog-Edge system that is capable of sensing its environment, learning from it, and opportunistically and dynamically adapting its computational loads to the user intents. Here, the core enabling technologies, for management of resources, services and data are AI/ML techniques, which infuse the cognitive aspects into the continuum.

This minitrack intends to solicit papers that discuss the theoretical and practical aspects of Cognitive Cloud Ecosystems from a system perspective. Topics of interest include:

• Architectures for the Cognitive Cloud for systems that are user-aware, self-aware and (semi-)autonomous; address the need for real-time capable solutions; and solve performance challenges, such as data streaming and
  filtering near/at the edge, overcoming latency and network constraints
• Service mesh networking that controls service-to-service communication across cognitive cloud ecosystem
• Orchestration of (sub)systems in the Cognitive Cloud, possibly subdivided into orchestration of resources, services, and data (including zero-touch approaches)
• Use of distributed AI across the Cognitive Cloud to make it intelligent
• Interconnection of Cognitive Clouds with Data Spaces
• Security, privacy and trust (likely, by design) in a multi-tenet de-centralized systems, possibly with no single point of governance
• Interoperability across the Cognitive Cloud Ecosystems to cope with the increased complexity of vast numbers of heterogeneous devices, while supporting demands for data sharing combined with the demand for protection of privacy
• Role of intelligent devices, drawing from applicable results in micro/nano/bio technologies, including resource-aware hardware/software concepts, low power processor platforms integrating computing, networking, storage and acceleration elements, new communication schemes and topologies that range from the cloud continuum towards mesh, and securing computing and communication at device level with constrained resources
• Tactile/contextual Internet of Things based on human-centric sensing/actuating, augmented/virtual reality and new service capabilities such as integration with parallel and opportunistic computing capabilities, neuromorphic and contextual computing.
• Energy aware systems from the perspective of systems integration for efficient deployment of services and use of resources in the Cognitive Cloud
• Strategies for the deployment of hyper-distributed applications in the Cognitive Cloud from services description to dynamic reorganization of the deployment
• Extreme data processing applications and Frugal AI in the cognitive cloud
• Applications of Cognitive Cloud including implementation of ecosystems, pilots, lessons learned, barriers, etc.

Important Dates

• Submission Deadline: June 15, 2023 | 11:59 pm HST
• Notification of Acceptance/Rejection: August 17, 2023 | 11:59 pm HST
• Deadline for Submission of Final Manuscript for Publication: September 22, 2023 | 11:59 pm HST
• Deadline for at least one author to register for HICSS-57: October 1, 2023 | 11:59 pm HST

Submission instructions are available at https://hicss.hawaii.edu/authors/

Minitrack Co-Chairs

Marcin Paprzycki (Primary Contact)
Polish Academy of Sciences
marcin.paprzycki@ibspan.waw.pl

Maria Ganzha
Polish Academy of Sciences
m.ganzha@mini.pw.edu.pl

Harilaos Koumaras
Institute of Informatics and Telecommunications
koumaras@iit.demokritos.gr

Carlos Palau
Univeristat Politecnica de Valencia
cpalau@dcom.upv.es