Parametric Estimation of Load for Air Force Datacenters

The Office of Management and Budget (OMB) has tasked Federal agencies to develop a Data Center Consolidation Plan. Effective planning requires a repeatable method to effectively and efficiently size Air Force Base-level data centers. Review of commercial literature on data center design found emphasis in power efficiency, thermal modeling and cooling, and network speed and availability. The topic of sizing data center processing capacity seems undeveloped. This thesis provides a better, pedigreed solution to the data center sizing problem. By analogy, Erlang\u27s formulae for the probability of blocking and queuing should be applicable to cumulative CPU utilization in a data center. Using survey data collected by 38th Engineering Squadron, a simulation is built and correlation between the observed survey measurements and simulation measurements, and the Erlang, Gamma, and Gaussian-Normal distributions is found. For a sample dataset of 70 servers over 14 hours of observation and a supposed .99999 requirement for traffic to be passed or otherwise unimpeded, Erlang distribution predicts 10 CPU cores are required, Gamma distribution predicts 10 CPU cores are required, Gaussian-Normal distribution predicts 9 CPU cores are required, Erlang B formulae predicts 14 CPU cores are required, and Erlang C formulae predicts 15 CPU cores are required

New Jersey 9-1-1 Consolidation Study: Site Visit Results and Implications for Consolidation

In 1999, the Center for Government Services at Rutgers, The State University of New Jersey completed a study of New Jersey's E9-1-1 system. The study offered a snapshot of the extensive and decentralized network of communications centers that receive incoming calls requesting emergency assistance and that dispatch police, fire, and medical units. In 2005, the New Jersey Office of Management and Budget commissioned the John J. Heldrich Center for Workforce Development at Rutgers University to build on the findings of the 1999 study by exploring ways to improve the efficiency of New Jersey's E9-1-1 system while maximizing the use of available funding.This report is the result of site visits and interviews with officials from 12 PSAPs. The focus of this report is on the current landscape of local operations, funding, staffing, equipment, and technology. In addition, this report identifies issues associated with consolidation, including barriers and opportunities, and presents recommendations for promoting consolidation in New Jersey. It is the third of four deliverables to be produced by the Heldrich Center for the State of New Jersey's 9-1-1 Consolidation Study.Presently, there are over 200 Public Safety Answering Points (PSAPs) and more than 100 enhanced Public Safety Dispatch Points (PSDPs) operating in New Jersey. The central goal of this study is to determine whether a consolidation of PSAPs and PSDPs could reduce costs while maintaining and/or improving the level of service. In this report, consolidation is defined as the reduction in the number of locally managed PSAPs and PSDPs that provide emergency communications services

An evaluation of urban consolidation centers through continuous analysis with non-equal market share companies

This paper analyzes the logistic cost savings caused by the implementation of Urban Consolidation Centers (UCC) in a dense area of a city. In these urban terminals, freight flows from interurban carriers are consolidated and transferred to a neutral last-mile carrier to perform final deliveries. This operation would reduce both last-mile fleet size and average distance cost. Our UCC modeling approach is focused on continuous analytic models for the general case of carriers with different market shares. Savings are highly sensitive to the design of the system: the increment of capacity in interurban vehicles and the proximity of the UCC terminal to the area in relation to current distribution centers. An exhaustive collection of possible market shares distributions are discussed. Results show that market shares distribution does not affect cost savings significantly. The analysis of the proposed model also highlights the trade-off between savings in the system and a minimum market share per company when the consolidation center is established.Postprint (published version

Analytical Modeling Framework to Assess the Economic and Environmental Impacts of Residential Deliveries, and Evaluate Sustainable Last-Mile Strategies

In the last decade, e‐commerce has grown substantially, increasing business‐to‐business, business‐to‐consumer, and consumer‐to‐consumer transactions. While this has brought prosperity for the e-retailers, the ever-increasing consumer demand has brought more trucks to the residential areas, bringing along externalities such as congestion, air and noise pollution, and energy consumption. To cope with this, different logistics strategies such as the introduction of micro-hubs, alternative delivery points, and use of cargo bikes and zero emission vehicles for the last mile have been introduced and, in some cases, implemented as well. This project, hence, aims to develop an analytical framework to model urban last mile delivery. In particular, this study will build upon the previously developed econometric behavior models that capture e-commerce demand. Then, based on continuous approximation techniques, the authors will model the last-mile delivery operations. And finally, using the cost-based sustainability assessment model (developed in this study), the authors will estimate the economic and environmental impacts of residential deliveries under different city logistics strategies.View the NCST Project Webpag

Internal report cluster 1: Urban freight innovations and solutions for sustainable deliveries (1/4)

Technical report about sustainable urban freight solutions, part 1 of