TY - GEN
T1 - From State to Link-Register Model
T2 - 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2023
AU - Cohen, Johanne
AU - Manoussakis, George
AU - Pilard, Laurence
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - In the link-register model, there is a delay between the time an action is taken and the time an adjacent node is informed of the resulting modification. This delay provides an opportunity to study the asynchronism induced by communications in distributed systems. Read/write atomicity, the most restrictive model in this category, permits only node-to-node communications. The unfair distributed daemon tops it off by being able to postpone a communication for arbitrarily long (precisely, until the algorithm can take no other move). This paper proposes a transformer to convert a self-stabilizing algorithm from the state to the link-register model. In the worst case, one move of the self-stabilizing algorithm in the state model can generate \Delta rounds in the transformed algorithm in the linkregister model (where \Delta is the maximum degree of the graph). This transformer is based on another transformer that goes from the state model to a slightly modified version of the link-register model, called the strong-link-register model, in which a node can read in its own registers. This transformation comes with a O(\Delta ) factor cost.
AB - In the link-register model, there is a delay between the time an action is taken and the time an adjacent node is informed of the resulting modification. This delay provides an opportunity to study the asynchronism induced by communications in distributed systems. Read/write atomicity, the most restrictive model in this category, permits only node-to-node communications. The unfair distributed daemon tops it off by being able to postpone a communication for arbitrarily long (precisely, until the algorithm can take no other move). This paper proposes a transformer to convert a self-stabilizing algorithm from the state to the link-register model. In the worst case, one move of the self-stabilizing algorithm in the state model can generate \Delta rounds in the transformed algorithm in the linkregister model (where \Delta is the maximum degree of the graph). This transformer is based on another transformer that goes from the state model to a slightly modified version of the link-register model, called the strong-link-register model, in which a node can read in its own registers. This transformation comes with a O(\Delta ) factor cost.
UR - https://www.scopus.com/pages/publications/85193801357
U2 - 10.1109/SYNASC61333.2023.00023
DO - 10.1109/SYNASC61333.2023.00023
M3 - Conference contribution
AN - SCOPUS:85193801357
T3 - Proceedings - 2023 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2023
SP - 114
EP - 121
BT - Proceedings - 2023 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2023
A2 - Stratulat, Sorin
A2 - Marin, Mircea
A2 - Negru, Viorel
A2 - Zaharie, Daniela
PB - Institute of Electrical and Electronics Engineers
Y2 - 11 September 2023 through 14 September 2023
ER -