By Daron G. Green (auth.), Jukka Riekki, Mika Ylianttila, Minyi Guo (eds.)
This e-book constitutes the complaints of the sixth foreign convention, GPC 2011, held in Oulu, Finland in might 2011.
The 28 revised complete papers have been rigorously revised and chosen from sixty two submissions and concentrate on the subjects cloud, cluster, and grid computing; peer-to-peer computing; functions and HCI; modeling and verification; carrier architectures; middleware; and sensor networks.
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Additional info for Advances in Grid and Pervasive Computing: 6th International Conference, GPC 2011, Oulu, Finland, May 11-13, 2011. Proceedings
Return (final configuration as optimal solution) Fig. 1. The optimization algorithm based on simulated annealing heuristic 5 Evaluation This section presents an evaluation of our proposed energy-aware scheduling algorithm based on metrics such as power reduction and dioxide carbon emission. In order to evaluate it on a large-scale virtualized system, a set of simulative experiments were set up as a method to evaluate the proposed algorithm. The described MATLAB implementation of our algorithm, described in Section 4, was used as a simulation testbed.
Evaluation parameters and settings for the group-based gossip multicast protocol Parameters N (Total Number of Nodes ) k (Size of PartialView) Cycle Fanout G (Total Number of Groups) M (The Number of Members in a Group) Value 50,000 20 20 1 20, 40, 60, 80 100, 200, 300, 400 Moreover, G (total number of groups) and M (the number of members in a group) parameters are used to test the group-based gossip multicast protocol. According to these two parameters, the number of nodes that did not receive the message is measured comparing with the flat gossip multicast protocol using the push-pull mode.
3). In this step, we can choose one of the three ways to communicate with others: Push mode, Pull mode, and Push-pull mode. ,8;) <* " Fig. 3. Message Dissemination Algorithm 4 Performance Evaluation To evaluate the group-based gossip multicast protocol, we use the Peersim  simulator that supports extreme scalability and dynamicity. System parameters and their values used for the group-based gossip protocol are listed in Table 1. At the initialization step, a unique identifier is assigned to every node and there is one node that has the message to disseminate in the system.