A problem in large and dynamic networks consists in making available at each node global information about the state of the network. Gossip-based aggregation schemes are a simple yet effective mechanism to solve the problem. However, they have to cope with the dynamics either of the network and the values being aggregated and thus have to integrate specific solutions to deal with them. The contribution of this paper is to analyze and compare three different solutions to handle network and values dynamics in gossip-based aggregation schemes: (i) an epoch-based approach based on periodic restarts, (ii) an optimized epoch-based approach based on concurrent aggregation threads and (iii) an original approach based on values evaporation that does...
Distributed aggregation queries like average and sum can be implemented in different paradigms like ...
In this article, we explore the topic of extending aggregate computation in distributed networks wit...
Abstract: As various distributed algorithms and services demand overall information on large scale n...
A problem in large and dynamic networks consists in making available at each node global information...
Distributed computing in large-size dynamic networks often requires the availability at each and eve...
Distributed computing in large-size dynamic networks oftenrequires the availability at each and ever...
As computer networks increase in size, become more heterogeneous and span greater geographic distan...
We investigate the use of gossip protocols for continuousmonitoring of network-wide aggregates under...
We propose Gossipico, a gossip algorithm to average, sum or find minima and maxima over node values ...
Gossip protocols are a fast and effective strategy for computing a wide class of aggregate functions...
Gossip algorithms are widely used to solve the distributed consensus problem, but issues can arise w...
Aggregation is an important building block of modern distributed applications, allowing the determin...
Part 8: Wireless Networks IIInternational audienceWe propose Gossipico, a gossip algorithm to averag...
Gossip (or Epidemic) protocols have emerged as a communication and computation paradigm for large-sc...
Data aggregation is a fundamental building block of modern distributed systems. Averaging based appr...
Distributed aggregation queries like average and sum can be implemented in different paradigms like ...
In this article, we explore the topic of extending aggregate computation in distributed networks wit...
Abstract: As various distributed algorithms and services demand overall information on large scale n...
A problem in large and dynamic networks consists in making available at each node global information...
Distributed computing in large-size dynamic networks often requires the availability at each and eve...
Distributed computing in large-size dynamic networks oftenrequires the availability at each and ever...
As computer networks increase in size, become more heterogeneous and span greater geographic distan...
We investigate the use of gossip protocols for continuousmonitoring of network-wide aggregates under...
We propose Gossipico, a gossip algorithm to average, sum or find minima and maxima over node values ...
Gossip protocols are a fast and effective strategy for computing a wide class of aggregate functions...
Gossip algorithms are widely used to solve the distributed consensus problem, but issues can arise w...
Aggregation is an important building block of modern distributed applications, allowing the determin...
Part 8: Wireless Networks IIInternational audienceWe propose Gossipico, a gossip algorithm to averag...
Gossip (or Epidemic) protocols have emerged as a communication and computation paradigm for large-sc...
Data aggregation is a fundamental building block of modern distributed systems. Averaging based appr...
Distributed aggregation queries like average and sum can be implemented in different paradigms like ...
In this article, we explore the topic of extending aggregate computation in distributed networks wit...
Abstract: As various distributed algorithms and services demand overall information on large scale n...