Having a good understanding of the load requirements in the datacenter improves the capability to effectively provision the resources available to the meet the demands and objectives of application services. Especially in a large project like XIFI this aspect becomes even more critical because of the limited availability of the resources and the complexity of the various entities present.In this study we frame a structure that provides deep insights to comprehend XIFI infrastructure. Further, we model the user requests that approach the node for resource allocation to run their applications. We aim to provide an understanding on different aspects involved in modelling. The objective of this present study is to investigate the effect of load on the XIFI node. To achieve this objective, we model the XIFI node by examining the various entities involved in it. Furthermore, we provide an overview about what constitutes as load in the XIFI node.We conduct a detailed specifications study after which we identify the imperative entities required for the modelling of both the XIFI node and the requests. We examine the model by simulating it in CloudSim for two different scenarios varying the specifications.We simulated the designed structure for 30 iterations and analyzed 10,000 user requests for two cases where total RAM of the node is increased in the second case when compared to the first case. We analyze the CPU usage, RAM usage, Bandwidth usage and Storage usage in both the cases and examine the effects of the user requests on each one of them.The results provided evidence that the load indices on the host are dependent on each other. Also, it showed that the request modelling had an impact on the load of the host. It can also be concluded that the resource provisioning can be effective if the user behavior is known.

Massively multiplayer games allow hundreds of players to play and interact with each other simultaneously. Due to the increasing need to provide a greater degree of interaction to more players, load balancing is critical on the servers that host the game. A common approach is to divide the world into microcells (small regions of the game terrain) and to allocate the microcells dynamically across multiple servers. We describe a visibility--based technique that guides the creation of microcells and their dynamic allocation. This technique is designed to reduce the amount of cross--server communication, in the hope of providing better load balancing than other load--balancing strategies. We hypothesize that reduction in expensive cross-server traffic will reduce the overall load on the system. We employ horizon counts map to create visibility based microcells, in order to emphasize primary occluders in the terrain. In our testing we consider traffic over a given quality of service threshold as the primary metric for minimization. As result of our testing we find that dynamic load balancing produces significant improvement in the frequency of quality of service failures. We find that our visibility-based micro cells do not outperform basic rectangular microcells discussed in earlier research. We also find that cross-server traffic makes up a much smaller portion of overall message load than we had anticipated, reducing the potential overall benefit from cross server message optimisation. / Thesis (Master, Computing) -- Queen's University, 2011-09-28 14:15:32.173

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In 2004 a post-frame structure with plastered straw bales as an in-fill wall system was built at the University of Manitoba. Load cells installed at the top and bottom of ten eave wall posts were intended to measure the tributary load transferred from the roof structure into the supporting posts. In 2011 wind speed and direction were measured adjacent to the structure and correlated to simultaneous load data. A linear regression model relating load to wind speed within four directional quadrants revealed that load behaviour was inconsistent with design-level loading prescribed by the National Building Code of Canada (2005). A second regression model with both speed and direction as independent variables did not determine any statistically significant relationships. This research concluded that the initial assumptions made in 2004 required additional scrutiny, including the conditions under which the load cells were calibrated, and the structural contribution of the walls’ plastered skins.

No description available.

No description available.

No description available.

In 2004 a post-frame structure with plastered straw bales as an in-fill wall system was built at the University of Manitoba. Load cells installed at the top and bottom of ten eave wall posts were intended to measure the tributary load transferred from the roof structure into the supporting posts. In 2011 wind speed and direction were measured adjacent to the structure and correlated to simultaneous load data. A linear regression model relating load to wind speed within four directional quadrants revealed that load behaviour was inconsistent with design-level loading prescribed by the National Building Code of Canada (2005). A second regression model with both speed and direction as independent variables did not determine any statistically significant relationships. This research concluded that the initial assumptions made in 2004 required additional scrutiny, including the conditions under which the load cells were calibrated, and the structural contribution of the walls’ plastered skins.

No description available.