Distributed algorithms for finding centers and medians in networks
ACM Transactions on Programming Languages and Systems (TOPLAS)
Introduction to Distributed Algorithms
Introduction to Distributed Algorithms
Mobile Agent Rendezvous in a Ring
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Asynchronous deterministic rendezvous in graphs
Theoretical Computer Science
Deterministic Rendezvous in Trees with Little Memory
DISC '08 Proceedings of the 22nd international symposium on Distributed Computing
Rendezvous of Mobile Agents When Tokens Fail Anytime
OPODIS '08 Proceedings of the 12th International Conference on Principles of Distributed Systems
Mobile agent rendezvous in a ring using faulty tokens
ICDCN'08 Proceedings of the 9th international conference on Distributed computing and networking
Delays induce an exponential memory gap for rendezvous in trees
Proceedings of the twenty-second annual ACM symposium on Parallelism in algorithms and architectures
Almost optimal asynchronous rendezvous in infinite multidimensional grids
DISC'10 Proceedings of the 24th international conference on Distributed computing
Tree exploration with logarithmic memory
ACM Transactions on Algorithms (TALG)
Optimal memory rendezvous of anonymous mobile agents in a unidirectional ring
SOFSEM'06 Proceedings of the 32nd conference on Current Trends in Theory and Practice of Computer Science
Asynchronous rendezvous of anonymous agents in arbitrary graphs
OPODIS'11 Proceedings of the 15th international conference on Principles of Distributed Systems
How to meet asynchronously (almost) everywhere
ACM Transactions on Algorithms (TALG)
Price of asynchrony in mobile agents computing
Theoretical Computer Science
Hi-index | 5.23 |
We investigate the relation between the (ideal) time and space complexities for the gathering problem with k anonymous agents in asynchronous anonymous tree networks. The gathering problem requires that all the agents in the network have to meet at a single node within a finite time. Although an asymptotically space-optimal algorithm is known, its time complexity is quite large. In this paper, we consider asymptotically (ideal-)time-optimal algorithms and investigate the minimum memory requirement per agent for asymptotically time-optimal algorithms. First, we show that there exists a tree with n nodes in which @W(n) bits of memory per agent is required to solve the gathering problem in O(n) time (asymptotically time-optimal). Then, we present an asymptotically time-optimal gathering algorithm. This algorithm can be executed if each agent has O(n) bits of memory. From this lower/upper bound, this algorithm is asymptotically space-optimal on the condition that the time complexity is asymptotically optimal.