Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks.

Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability to cooperatively perform a collection of tasks is key to solving a broad array of computation problems ranging from distributed search to distributed simulation and multi-agent collaboration which is introduced within this book.

Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity is structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science.

The 18 revised full papers and 4 short papers presented together with 3 invited papers were carefully reviewed and selected from 46 submissions. The papers cover all aspects related to the design and the development of these systems, including, but not restricted to, concurrent and distributed algorithms, parallel/concurrent/distributed programming, multi-core architectures, formal verification, distributed databases, cloud systems, networks, security, formal verification, etc.

*The conference was held virtually due to the COVID-19 pandemic.

Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks.

Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability to cooperatively perform a collection of tasks is key to solving a broad array of computation problems ranging from distributed search to distributed simulation and multi-agent collaboration which is introduced within this book.

Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity is structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science.

The 18 revised full papers and 4 short papers presented together with 3 invited papers were carefully reviewed and selected from 46 submissions. The papers cover all aspects related to the design and the development of these systems, including, but not restricted to, concurrent and distributed algorithms, parallel/concurrent/distributed programming, multi-core architectures, formal verification, distributed databases, cloud systems, networks, security, formal verification, etc.

*The conference was held virtually due to the COVID-19 pandemic.