Dr. Keith Pecor
Department of Biology
Sleep Health in Adolescents: Biological, Behavioral, and Cultural Influences
Abstract:
Sleep health refers to both the quantity and quality of sleep experienced by an individual and can be influenced by a number of both internal and external variables. In this seminar, I will give a brief introduction to the science of sleep followed by the presentation of a series of studies assessing the sleep health in adolescents. Potential influences on sleep health considered in these studies were biology (e.g., sex), behavior (e.g., bedtime, use of electronics), and culture (American vs. Chinese individuals).
Dr. Ying Mao
Department of Computer Science
Dynamic and Efficient Resource Management for Data-intensive Computing Platforms
In the past few years, we have envisioned an increasing number of businesses starting driven by big data analytics, such as Amazon recommendations and Google advertisements. At the back-end side, the businesses are powered by big data processing platforms to quickly extract information and make decisions. Running on top of a computing cluster, those platforms utilize efficient scheduling algorithms to allocate resources for different jobs. The resources in a cluster are represented by virtualized containers, which are logical leases on a certain amount of resources, such as CPU cores (or Virtual cores) and memory spaces. A container is a place where a task of a job is running. While containers are crucial to the system performance, it is challenging to achieve elasticity and scalability in a cluster.
My research proposes to systematically study the architecture and design issues of an Uber-like container management scheme for virtualized computing platforms. The proposed systems should take consideration of the heterogeneities in both physical nodes and virtualized containers. To achieve the objectives, we developed DRAPS, which is a resource-aware placement scheme to boost the system performance in a heterogeneous cluster.