When dogs and cats are not retained in a home, they are re-homed to somewhere, and while there is a collection of research around relinquishment to shelters, little is known about the general re-homing picture. A cros...When dogs and cats are not retained in a home, they are re-homed to somewhere, and while there is a collection of research around relinquishment to shelters, little is known about the general re-homing picture. A cross sectional random digit dial survey was conducted with an aim to learn more about who is re-homing, where they are re-homing and why they are re-homing owned dogs and cats in the US. We found the prevalence of re-homing in five years at 6% making for an estimated 6.12 million household re-homing pets every five years. Pets were most likely to be re-homed by being given to a friend or family member (37%) closely followed by being taken to a shelter. Those who re-homed due to a reason related to the pet as opposed to reasons such as family issues were more likely to re-home to a shelter. For respondents who rented, housing reasons were the number one reason for re-homing, and for respondents of lower income, they were significantly more likely to re-home due to cost and housing issues as opposed to pet related issues. We conclude that some reasons for re-homing are not easily modified and humane re-homing is the best option, but that there are many areas in which intervention and prevention programs may increase retention.展开更多
In a cloud computing environment, users using the pay-as-you-go billing model can relinquish their services at any point in time and pay accordingly. From the perspective of the Cloud Service Providers (CSPs), this is...In a cloud computing environment, users using the pay-as-you-go billing model can relinquish their services at any point in time and pay accordingly. From the perspective of the Cloud Service Providers (CSPs), this is not beneficial as they may lose the opportunity to earn from the relinquished resources. Therefore, this paper tackles the resource assignment problem while considering users relinquishment and its impact on the net profit of CSPs. As a solution, we first compare different ways to predict user behavior (i.e. how likely a user will leave the system before its scheduled end time) and deduce a better prediction technique based on linear regression. Then, based on the RACE (Relinquishment-Aware Cloud Economics) model proposed in [1], we develop a relinquishment-aware resource optimization model to estimate the amount of resources to assign on the basis of predicted user behavior. Simulations performed with CloudSim show that cloud service providers can gain more by estimating the amount of resources using better prediction techniques rather than blindly assigning resources to users. They also show that the proposed prediction-based resource assignment scheme typically generates more profit for a lower or similar utilization.展开更多
文摘When dogs and cats are not retained in a home, they are re-homed to somewhere, and while there is a collection of research around relinquishment to shelters, little is known about the general re-homing picture. A cross sectional random digit dial survey was conducted with an aim to learn more about who is re-homing, where they are re-homing and why they are re-homing owned dogs and cats in the US. We found the prevalence of re-homing in five years at 6% making for an estimated 6.12 million household re-homing pets every five years. Pets were most likely to be re-homed by being given to a friend or family member (37%) closely followed by being taken to a shelter. Those who re-homed due to a reason related to the pet as opposed to reasons such as family issues were more likely to re-home to a shelter. For respondents who rented, housing reasons were the number one reason for re-homing, and for respondents of lower income, they were significantly more likely to re-home due to cost and housing issues as opposed to pet related issues. We conclude that some reasons for re-homing are not easily modified and humane re-homing is the best option, but that there are many areas in which intervention and prevention programs may increase retention.
文摘In a cloud computing environment, users using the pay-as-you-go billing model can relinquish their services at any point in time and pay accordingly. From the perspective of the Cloud Service Providers (CSPs), this is not beneficial as they may lose the opportunity to earn from the relinquished resources. Therefore, this paper tackles the resource assignment problem while considering users relinquishment and its impact on the net profit of CSPs. As a solution, we first compare different ways to predict user behavior (i.e. how likely a user will leave the system before its scheduled end time) and deduce a better prediction technique based on linear regression. Then, based on the RACE (Relinquishment-Aware Cloud Economics) model proposed in [1], we develop a relinquishment-aware resource optimization model to estimate the amount of resources to assign on the basis of predicted user behavior. Simulations performed with CloudSim show that cloud service providers can gain more by estimating the amount of resources using better prediction techniques rather than blindly assigning resources to users. They also show that the proposed prediction-based resource assignment scheme typically generates more profit for a lower or similar utilization.
