@MASTERSTHESIS{ 2018:931188579,
 	title = {Optimizing the performance of multi-tier applications using interference and affinity-aware placement algorithms},
 	year = {2018},
 	url = "http://tede2.pucrs.br/tede2/handle/tede/8652",
 	abstract = "Cloud providers are constantly seeking to become more cost effective, where a common strategy is to consolidate multiple applications in a physical machine, using techniques such as virtualization. This consolidation, however, brings some performance related problems such as resource interference. Moreover, given the characteristics of multi-tier applications, in which tiers need to communicate through the network, we have another source of performance degradation, which we refer as network affinity. In order to reduce the effects of such problems, placement techniques are used to better distribute the applications in the physical machines. Several of these placement techniques consider resource interference or network affinity in order to decide the best placement; however, none of them focus on both criteria at the same time. This fact leads to a placement that is not fully optimized. For this reason, we implemented a set of placement algorithms called CIAPA, which aims at finding the best trade-off between interference and affinity. CIAPA uses a performance degradation model, a cost function, and heuristics to find the placement with minimum cost. In the experiments, we compared the cost achieved by CIAPA with other placement strategies, and we have verified that, for the workloads used, it generates placement decisions with better cost, and, consequently, improved performance.",
 	publisher = {Pontif?cia Universidade Cat?lica do Rio Grande do Sul},
 	scholl = {Programa de P?s-Gradua??o em Ci?ncia da Computa??o},
 	note = {Escola Polit?cnica}
}