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This article proposes a cost-aware autoscaler for microservices-based applications deployed with docker containers. This autoscaler decreases the cost of the application deployment as it reduces computing resources. In elastic treatment, microservice resources are scaled when the used metric as the central processing unit (CPU) exceeds the threshold. In case of threshold exceeding, an autoscaler adds many instances of docker containers in order to satisfy the need of the application. In many studies, the autoscaler adds many containers without selecting the appropriate microservices for scaling and without in advance calculation of the adequate number of containers. This may lead to allocating additional resources to inappropriate microservices and a non optimal number of containers. For this reason, we propose our autoscaler "Docker-C2A" which identifies the adequate microservices to add resources. It also calculates the optimal number of needed containers. "Docker-C2A" analyses the state of the application, uses the execution history and uses a Particle Swarm Optimization (PSO) algorithm to identify the adequate microservices for scaling resources and to determine the optimal number of containers. As a result, "Docker-C2A" helps to reduce computing resources and to save extra costs. Experimental measurements were conducted on a microservices-based application as a concrete use-case demonstrating the effectiveness of our proposed solution.

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HRQOL) outcomes in patients with prostate cancer. However, there is a dearth of literature exploring the impact of partnership status and social support as predictors of longitudinal HRQOL in these patients. We examined the relationship between partnership status and social support on longitudinal HRQOL outcomes in underserved low-income men with prostate cancer. We hypothesize that patients with more social support and a partner would report better HRQOL outcomes.METHODS: We prospectively analyzed HRQOL outcomes across both partnership status and the social support of each patient enrolled in a state-funded program for free prostate cancer treatment. The UCLA Prostate Cancer Index Short Form was used to quantify urinary, sexual and bowel habits in two domains: bother and function. Physical and mental health were measured with RAND Medical Outcomes Study Short form. We compared four levels of partnership and social support dyads with a repeated measures analysis, controlling for patient characteristics, including comorbidities and tumor stage, in a backwards selection process.RESULTS: 223 men were eligible for inclusion in our study. Demographics were similar between the study groups. Ninety three (45%) listed their partner as the only support member, 60 (29%) listed their child (e.g. daughter, daughter-in-law, stepdaughter, or son) as their only support member, and 37 (18%) listed a combination of both the child and the partner. After adjusting for patient demographic and clinical characteristics, we found few differences in HRQOL by partnership status and social support. (Table 1) The physical and mental health scores did not differ by partnership status or social support.CONCLUSIONS: While we hypothesized that being partnered and having increased social support would have a positive effect on HRQOL, we did not find this association in our longitudinal analysis. We propose that patterns of confiding in others and integration of a nurse case manager are highly gender-based and may provide possible explanations for our findings.