Toward Energy Efficient Systems Design For Data Centers

Surge growth of numerous cloud services, Internet of Things, and edge computing promotes continuous increasing demand for data centers worldwide. Significant electricity consumption of data centers has tremendous implications on both operating and capital expense. The power infrastructure, along with the cooling system cost a multi-million or even billion dollar project to add new data center capacities. Given the high cost of large-scale data centers, it is important to fully utilize the capacity of data centers to reduce the Total Cost of Ownership. The data center is designed with a space budget and power budget. With the adoption of high-density rack designs, the capacity of a modern data center is usually limited by the power budget. So the core of the challenge is scaling up power infrastructure capacity. However, resizing the initial power capacity for an existing data center can be a task as difficult as building a new data center because of a non-scalable centralized power provisioning scheme. Thus, how to maximize the power utilization and optimize the performance per power budget is critical for data centers to deliver enough computation ability. To explore and attack the challenges of improving the power utilization, we have planned to work on different levels of data center, including server level, row level, and data center level. For server level, we take advantage of modern hardware to maximize power efficiency of each server. For rack level, we propose Pelican, a new power scheduling system for large-scale data centers with heterogeneous workloads. For row level, we present Ampere, a new approach to improve throughput per watt by provisioning extra servers. By combining these studies on different levels, we will provide comprehensive energy efficient system designs for data center

Opinion dynamics on directed small-world networks

In this paper, we investigate the self-affirmation effect on formation of public opinion in a directed small-world social network. The system presents a non-equilibrium phase transition from a consensus state to a disordered state with coexistence of opinions. The dynamical behaviors are very sensitive to the density of long-range interactions and the strength of self-affirmation. When the long-range interactions are sparse and individual generally does not insist on his/her opinion, the system will display a continuous phase transition, in the opposite case with high self-affirmation strength and dense long-range interactions, the system does not display a phase transition. Between those two extreme cases, the system undergoes a discontinuous phase transition.Comment: 6 pages, 5 figure

Foreign cash holdings and credit rating: Evidence from U.S. multinationals

Using a sample of listed U.S. multinationals in 1999-2016, we document a positive correlation between foreign cash holdings and credit ratings, suggesting that firms may credibly signal their liquidity by accumulating large foreign cash reserves and pledging not to repatriate “in the foreseeable future”. Also, we find that this positive correlation is stronger in financially distressed firms, suggesting that the escalated signaling costs (e.g., an increased penalty in the case of cash shortages) in financially distressed firms amplify the signaling effect of foreign cash holdings, and thus, strengthen its positive impact on credit rating assessments. These two findings hold for an instrumental variable approach, reducing the likelihood of our results being purely driven by endogeneity bias. In additional analyses, we find that rating agencies are more conservative in discounting the value of foreign cash holdings when multinational firms are at the investment-grade cutoff and/or are subject to higher repatriation costs