Parallel programming with MPI
Membrane Systems and Distributed Computing
WMC-CdeA '02 Revised Papers from the International Workshop on Membrane Computing
ACM Transactions on Computer Systems (TOCS)
Gossip-based aggregation in large dynamic networks
ACM Transactions on Computer Systems (TOCS)
A System Architecture for Enhanced Availability of Tightly Coupled Distributed Systems
ARES '06 Proceedings of the First International Conference on Availability, Reliability and Security
Design patterns from biology for distributed computing
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Adaptive Approach to Information Dissemination in Self-Organizing Grids
ICAS '06 Proceedings of the International Conference on Autonomic and Autonomous Systems
Implementing Network Partition-Aware Fault-Tolerant CORBA Systems
ARES '07 Proceedings of the The Second International Conference on Availability, Reliability and Security
Self-organization for search in peer-to-peer networks: the exploitation-exploration dilemma
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
A new class of nature-inspired algorithms for self-adaptive peer-to-peer computing
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Self-Chord: A Bio-inspired Algorithm for Structured P2P Systems
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Design and analysis of a bio-inspired search algorithm for peer to peer networks
Self-star Properties in Complex Information Systems
T-Man: gossip-based overlay topology management
ESOA'05 Proceedings of the Third international conference on Engineering Self-Organising Systems
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In recent time, the applications of biologically-inspired computing models into various domains of computing fields have gained attention due to a set of advantages. The bio-inspired distributed computing paradigm offers benefits such as, self-detection and self-reconfiguration capabilities of the computing systems. The large scale distributed systems suffer from the arbitrary failure of nodes and dynamic formation of network partitions at any point of time. This paper proposes a novel membrane algorithm for self-detection and self-reconfiguration of large distributed systems on the event of arbitrary node failures resulting in network partitioning. The algorithm is distributed in nature and, it is designed based on the hybridization of biological membrane computing model and cell-signaling mechanisms of biological cells. This paper presents the problem definition, design and analysis of the algorithm. The performance of the algorithm is evaluated through simulation. A detailed comparative analysis of the algorithm with respect to the other contemporary algorithms is presented.