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Leveraging Cloud-Based Nfv And Sdn Platform Towards Quality-Driven Next-Generation Mobile Networks, Hassan Hawilo
Leveraging Cloud-Based Nfv And Sdn Platform Towards Quality-Driven Next-Generation Mobile Networks, Hassan Hawilo
Electronic Thesis and Dissertation Repository
Network virtualization has become a key approach for Network Service Providers (NSPs) to mitigate the challenge of the continually increasing demands for network services. Tightly coupled with their software components, legacy network devices are difficult to upgrade or modify to meet the dynamically changing end-user needs. To virtualize their infrastructure and mitigate those challenges, NSPs have started to adopt Software Defined Networking (SDN) and Network Function Virtualization (NFV). To this end, this thesis addresses the challenges faced on the road of transforming the legacy networking infrastructure to a more dynamic and agile virtualized environment to meet the rapidly increasing demand …
Using Reduced Graphs For Efficient Hls Scheduling, Stephanie Soldavini
Using Reduced Graphs For Efficient Hls Scheduling, Stephanie Soldavini
Theses
High-Level Synthesis (HLS) is the process of inferring a digital circuit from a high-level algorithmic description provided as a software implementation, usually in C/C++. HLS tools will parse the input code and then perform three main steps: allocation, scheduling, and binding. This results in a hardware architecture which can then be represented as a Register-Transfer Level (RTL) model using a Hardware Description Language (HDL), such as VHDL or Verilog. Allocation determines the amount of resources needed, scheduling finds the order in which operations should occur, and binding maps operations onto the allocated hardware resources. Two main challenges of scheduling are …
Home Energy Management System For Demand Response Purposes, Isra Adam Hussein Haroun
Home Energy Management System For Demand Response Purposes, Isra Adam Hussein Haroun
Theses
The growing demand for electricity has led to increasing efforts to generate and satisfy the rising demand. This led to suppliers attempting to reduce consumption with the help of the users. Requests to shift unnecessary loads off the peak hours, using other sources of generators to supply the grid while offering incentives to the users have made a significant effect. Furthermore, automated solutions were implemented with the help of Home Energy Management Systems (HEMS) where the user can remotely manage household loads to reduce consumption or cost. Demand Response (DR) is the process of reducing power consumption in a response …
Scheduling Multiple Parallel Jobs Online, Kefu Lu
Scheduling Multiple Parallel Jobs Online, Kefu Lu
McKelvey School of Engineering Theses & Dissertations
The prevalence of parallel processing has only increased in recent years. Today, most computing machines available on the market shifted from using single processors to possessing a multicore architecture. Naturally, there has been considerable work in developing parallel programming languages and frameworks which programmers can use to leverage the computing power of these machines. These languages allow users to create programs with internal parallelism. The next, and crucial, step is to ensure that the computing system can efficiently execute these parallel jobs. Executing a single parallel job efficiently is a very well-studied problem in parallel computing. In the area of …
Assessment Of Some Of The Common Practices Used In Scheduling Highway Projects, Jennifer Reyes
Assessment Of Some Of The Common Practices Used In Scheduling Highway Projects, Jennifer Reyes
Theses and Dissertations
There are several factors documented in the literature that can affect the accuracy of estimated project durations in highway construction, such as weather, location, and soil conditions. Recently, the Texas Department of Transportation (TxDOT) raised a concern regarding some of the practices used when estimating the contract time for projects. This research presents an assessment of the effect that two practices identified have on the estimated project duration. These two practices include: 1) the estimated lead/lag times in project schedules and 2) scheduling with only critical or controlling activities. The effect of these practices is measured, primarily, by using four …
What Are The Doorways And Barriers To Enrollment In College Preparatory Courses For Students Who Are Black, Hispanic, And American Indian?, Alicia Moore
School of Education and Leadership Student Capstone Theses and Dissertations
Upper level honors, Advanced Placement, and dual enrollment courses in high schools reflect different racial demographics from mainstream on-level courses. The research question addressed in this study examined the doorways and barriers to enrollment in college preparatory courses for students who are black, Hispanic and American Indian. A mixed method approach was used to determine the precise racial disparity and an understanding of why the disparity exists. A quantitative analysis measured racial disparities in enrollment data for honors, Advanced Placement, and dual enrollment core courses in a large suburban high school. White and Asian students were over-represented in college preparatory …
Creating A Pull Planning Guide For Industry Use, Michael B. Avila
Creating A Pull Planning Guide For Industry Use, Michael B. Avila
Construction Management
The construction industry is quickly making Pull Planning sessions a commodity only the largest companies can afford due to expensive consultants and the common perception of a complicated process. Pull Planning does not need to be complicated but can be quickly implemented by all types of companies utilizing extensive research completed on The Last Planner System. The benefits of Pull Planning include creating buy-in to the plan, making hand-offs known, and creating reliability and trust from the key Players on a project. As the demand for a more productive construction project rises, it is increasingly important for the scheduling methods …
Permutation Flow Shop Via Simulated Annealing And Neh, Pooja Bhatt
Permutation Flow Shop Via Simulated Annealing And Neh, Pooja Bhatt
UNLV Theses, Dissertations, Professional Papers, and Capstones
Permutation Flow Shop Scheduling refers to the process of allocating operations of jobs to machines such that an operation starts to process on machine j only after the processing completes in j-1machine. At a time a machine can process only one operation and similarly a job can have only one operation processed at a time. Finding a schedule that minimizes the overall completion times for Permutation Flow Shop problems is NP-Hard if the number of machines is greater than 2. Sowe concentrates on approaches with approximate solutions that are good enough for the problems. Heuristics is one way to find …
A Bridge And Engine Room Staffing And Scheduling Model For Robust Mission Accomplishment In The Littoral Combat Ships, John P. Cordle
A Bridge And Engine Room Staffing And Scheduling Model For Robust Mission Accomplishment In The Littoral Combat Ships, John P. Cordle
Engineering Management & Systems Engineering Projects for D. Eng. Degree
The Navy’s Littoral Combat Ships were designed to be relatively small surface vessels for operations near a littoral shore theater. These ships were envisioned to be highly automated, networked, agile, stealthy surface combatants capable of defeating anti-access and asymmetric threats in the littorals with minimum manpower. To date, however, some of these ships have experienced significant engineering and propulsion plant failures that impacted mission accomplishment and were attributable, at least in part, to under staffing and over scheduling the human component of the automation-human operational environment. The critical human components on the Littoral Combat Ship are bridge and engine room …
Automatic Resource Management And Performance Optimization In Clusters, Yudi Wei
Automatic Resource Management And Performance Optimization In Clusters, Yudi Wei
Wayne State University Dissertations
Virtual machine is a primary way to increase resource utilizations in data centers by encapsulating multi-resource demands for applications and providing performance isolation. Moreover, the resource configuration can change on the fly to satisfy performance target. Container is another popular way for fine-grained multi-resource allocation. In this disser- tation work, we aim to design and implement an automatic resource management system to improve application performance, optimize system efficiency and job completion times in virtual and physical clusters respectively.
For large-scale applications hosted in data center, automatic resource configuration is crucial to service availability and quality. The workload dynamics, cloud dynamics …
Minimizing Total Number Of Tardy Jobs In Parallel Batch Processing Machines Using Column Generation And Simulated Annealing, Sameer Neupane
Minimizing Total Number Of Tardy Jobs In Parallel Batch Processing Machines Using Column Generation And Simulated Annealing, Sameer Neupane
Graduate Research Theses & Dissertations
This research considers a scheduling problem where jobs need to be grouped into batches and the batches need to be scheduled on parallel batch processing machines with an objective to minimize the total number of tardy jobs. The jobs are assigned to batches in such a way that machine capacity is not violated. This research considers jobs with unequal ready times, unequal processing times and unequal sizes. The machines are identical in processing capabilities; however, their capacities are different. This research aims to develop effective solution approaches to solve the problem under study. A Mixed Integer Linear Programming (MILP) model …
Scheduling For Cooperative Energy Harvesting Sensor Networks, Ahmed Ammar
Scheduling For Cooperative Energy Harvesting Sensor Networks, Ahmed Ammar
Graduate Theses, Dissertations, and Problem Reports
In cooperative communication networks, the source node transmits its data to the destination either directly or cooperatively with a cooperating node. When using energy harvesting technology, where nodes collect their energy from the environment, the energy availability at the nodes becomes unpredictable due to the stochastic nature of energy harvesting processes. As a result, when the source has a transmission, it cannot immediately transmit its data cooperatively with the cooperating node. It first needs to determine whether the cooperating node has sufficient energy to forward its transmission or not. Otherwise, its transmitted data may get lost. Therefore, when using energy …
Pharmaceutical Scheduling Using Simulated Annealing And Steepest Descent Method, Bryant Jamison Spencer
Pharmaceutical Scheduling Using Simulated Annealing And Steepest Descent Method, Bryant Jamison Spencer
Graduate Theses, Dissertations, and Problem Reports
In the pharmaceutical manufacturing world, a deadline could be the difference between losing a multimillion-dollar contract or extending it. This, among many other reasons, is why good scheduling methods are vital. This problem report addresses Flexible Flowshop (FF) scheduling using Simulated Annealing (SA) in conjunction with the Steepest Descent heuristic (SD).
FF is a generalized version of the flowshop problem, where each product goes through S number of stages, where each stage has M number of machines. As opposed to a normal flowshop problem, all ‘jobs’ do not have to flow in the same sequence from stage to stage. The …
Trade-Off Balancing For Stable And Sustainable Operating Room Scheduling, Amin Abedini
Trade-Off Balancing For Stable And Sustainable Operating Room Scheduling, Amin Abedini
Theses and Dissertations--Mechanical Engineering
The implementation of the mandatory alternative payment model (APM) guarantees savings for Medicare regardless of participant hospitals ability for reducing spending that shifts the cost minimization burden from insurers onto the hospital administrators. Surgical interventions account for more than 30% and 40% of hospitals total cost and total revenue, respectively, with a cost structure consisting of nearly 56% direct cost, thus, large cost reduction is possible through efficient operation management. However, optimizing operating rooms (ORs) schedules is extraordinarily challenging due to the complexities involved in the process. We present new algorithms and managerial guidelines to address the problem of OR …
Sky Surveys Scheduling Using Reinforcement Learning, Andres Felipe Alba Hernandez
Sky Surveys Scheduling Using Reinforcement Learning, Andres Felipe Alba Hernandez
Graduate Research Theses & Dissertations
Modern cosmic sky surveys (e.g., CMB S4, DES, LSST) collect a complex diversity of astronomical objects. Each of class of objects presents different requirements for observation time and sensitivity. For determining the best sequence of exposures for mapping the sky systematically, conventional scheduling methods do not optimize the use of survey time and resources. Dynamic sky survey scheduling is an NP-hard problem that has been therefore treated primarily with heuristic methods. We present an alternative scheduling method based on reinforcement learning (RL) that aims to optimize the use of telescope resources for scheduling sky surveys.
We present an exploration of …