Digital Commons Network^™

Scheduling In Mapreduce Clusters, Chen He

Department of Computer Science and Engineering: Dissertations, Theses, and Student Research

MapReduce is a framework proposed by Google for processing huge amounts of data in a distributed environment. The simplicity of the programming model and the fault-tolerance feature of the framework make it very popular in Big Data processing.

As MapReduce clusters get popular, their scheduling becomes increasingly important. On one hand, many MapReduce applications have high performance requirements, for example, on response time and/or throughput. On the other hand, with the increasing size of MapReduce clusters, the energy-efficient scheduling of MapReduce clusters becomes inevitable. These scheduling challenges, however, have not been systematically studied.

The objective of this dissertation is to …

Dynamic Load Balancing For I/O-Intensive Applications On Clusters, Xiao Qin, Hong Jiang, Adam Manzanares, Xiaojun Ruan, Shu Yin

School of Computing: Faculty Publications

Load balancing for clusters has been investigated extensively, mainly focusing on the effective usage of global CPU and memory resources. However, previous CPU- or memory-centric load balancing schemes suffer significant performance drop under I/O-intensive workloads due to the imbalance of I/O load. To solve this problem, we propose two simple yet effective I/O-aware load-balancing schemes for two types of clusters: (1) homogeneous clusters where nodes are identical and (2) heterogeneous clusters, which are comprised of a variety of nodes with different performance characteristics in computing power, memory capacity, and disk speed. In addition to assigning I/O-intensive sequential and parallel jobs …

A Location Analysis Approach For Military Maintenance Scheduling With Geographically Dispersed Service Areas, Dale L. Overholts Ii, John E. Bell, Marvin A. Arostegui

United States Air Force: Publications

This research uses a two-stage maximal covering location problem (MCLP) model to develop Intercontinental ballistic missile (ICBM) maintenance schedules for the US Air Force. Solutions are compared to actual missile maintenance activities accomplished at F. E. Warren Air Force Base (AFB), Wyoming in May 2005. Sensitivity analysis is performed to determine the impact of altering security response times and the number of security patrol are as on the quality of daily maintenance schedules and personnel usage. Results indicate marked improvement over traditional Air Force scheduling methods. In addition, sensitivity analysis identifies the levels at which the quality and quantity of …

Summer Sessions Breakdown Of Course Dates And Time, Paul Savory

Department of Industrial and Management Systems Engineering: Faculty Publications

This report highlights an exhaustive analysis of the hundreds of Summer Session courses to develop an understanding of when they occur during the day and during which of the four academic terms. The analysis shows that the most popular time for scheduling courses is between 9:30 am and noon for each of the four summer session terms. Given the limited number of general purpose classrooms on campus, accommodating faculty preference for rooms, buildings, and computer equipment is sometimes not possible during the most in demand course times. The results also showcase the potential for having summer courses four-day per week …

An Integer Programming Approach To Support The Us Air Force’S Air Mobility Network, Corbin G. Koepke, Andrew P. Armacost, Cynthia Barnhart, Stephan E. Kolitz

United States Air Force: Publications

The United States Air Force’s air mobility command is responsible for creating a schedule and executing that schedule for a large-scale air mobility network that encompasses aircraft with prioritized missions. Aerial ports (airports) can process or park a maximum number of aircraft, called the maximum on ground (MOG). As the schedule changes due to disruptions, such as equipment failure or weather, the MOG constraint can cause the new schedule to be infeasible. Traditionally, re-planning the channel route schedule to adhere to MOG constraints has been a manual process that usually stops after the first feasible set of changes is found, …

Allocating Non-Real-Time And Soft Real-Time Jobs In Multiclusters, Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Hong Jiang, Donna N. Dillenberger, Graham R. Nudd

School of Computing: Faculty Publications

This paper addresses workload allocation techniques for two types of sequential jobs that might be found in multicluster systems, namely, non-real-time jobs and soft real-time jobs. Two workload allocation strategies, the Optimized mean Response Time (ORT) and the Optimized mean Miss Rate (OMR), are developed by establishing and numerically solving two optimization equation sets. The ORT strategy achieves an optimized mean response time for non-real-time jobs, while the OMR strategy obtains an optimized mean miss rate for soft real-time jobs over multiple clusters. Both strategies take into account average system behaviors (such as the mean arrival rate of jobs) in …

G97-1324 Beef Cattle Implant Update, Dicky D. Griffin, Terry L. Mader

University of Nebraska-Lincoln Extension: Historical Materials

This NebGuide discusses the mechanism of action and use strategies for growth promoting implants, including expected responses and cost analysis.

Introduction

Growth promoting implants have been used extensively in beef production for over 30 years. Significant changes in implants and implanting strategies have occurred. Prior to 1987, available implants were estrogenic agents which metabolically enhanced nutrient use to enhance growth. These products improved feed efficiency 5-10 percent and daily gains from 5-15 percent. In 1987, the androgenic (tissue building) agent, trenbolone acetate, was approved for use in growth promoting implants. This compound had an additive effect with existing estrogenic implants. …

Nf91-39 Precipitation And Sprinkler Irrigation Monitoring For Managing Irrigation Scheduling, Steve Meyer, Kenneth Hubbard

University of Nebraska-Lincoln Extension: Historical Materials

This NebFact discusses precipitation and sprinkler irrigation monitoring for managing irrigation scheduling.

Ec89-723 Irrigation Scheduling Using Soil Moisture Blocks In Silty Soils, William L. Kranz, Dean E. Eisenhauer

University of Nebraska-Lincoln Extension: Historical Materials

Irrigation takes some risk out of crop production by providing a reliable source of water that allows the producer to manage soil water. Monitoring soil water is fundamental to determining how much irrigation water should be applied, and when the soil is able to store the amount of water to be applied.

This publication describes how to use soil mositure blocks to schedule irrigations in fine textured soils.

Irrigation Scheduling Of Soybeans, Corn, Wheat, And Potatoes (Camac Progress Report 87-8), Blaine L. Blad

School of Natural Resources: Faculty Publications

No abstract provided.

A Demonstration And Evaluation Of The Use Of Climate Information To Support Irrigation Scheduling And Other Agricultural Operations (Camac Progress Report 87-4), K. G. Hubbard, D. A. Wilhite, S. J. Meyer, J. Booysen, R. Sagar, J. J. Schmidt, J. R. Hines

School of Natural Resources: Faculty Publications

No abstract provided.

G85-753 Irrigation Scheduling Using Crop Water Use Data, C. Dean Yonts, Norman L. Klocke

University of Nebraska-Lincoln Extension: Historical Materials

This NebGuide describes using the "checkbook" method to schedule irrigations based on crop water use data.

Irrigation scheduling determines when and how much water to apply to meet crop demand. Soil water status and current crop water use are key factors for scheduling irrigations. Field observations and crop growth stage are important, but scheduled irrigations result in better rainfall use while avoiding crop water stress or excessive irrigation.

Ec84-724 Irrigation Scheduling Using Tensiometers In Sandy Soils, Thomas W. Dorn, Dean E. Eisenhauer, Paul E. Fischbach

University of Nebraska-Lincoln Extension: Historical Materials

Extension Circular 84-724: Irrigation scheduling using tensiometers in sandy soil.

Ec80-724 Irrigation Scheduling Using Tensiometers And Evapotranspiration On Deep Sandy Soils, G. C. A. Morin, W. F. Kroutil, P. E. Fischbach

University of Nebraska-Lincoln Extension: Historical Materials

Extension circular 80-724 is about irrigation scheduling using tensiometers and evapotranspiration on deep sandy soils.

Ec79-723 Irrigation Scheduling Using Soil Moisture Blocks In Deep Soil, Dean E. Eisenhauer, Paul E. Fischbach, Walter L. Trimmer

University of Nebraska-Lincoln Extension: Historical Materials

Extension Circular 79-723: Irrigation Scheduling using soil moisture blocks in deep soil.

G77-340 Scheduling Irrigation By Electrical Resistance Blocks, Paul E. Fischbach

University of Nebraska-Lincoln Extension: Historical Materials

Delay of irrigation for a few days during a critical part of the growing season can be expensive. A week's delay in supplying irrigation water to corn or grain sorghum can reduce potential yield more than 30 bushels per acre.

Several methods are available to help you schedule the right amount of water at the right time. One of these methods uses electrical resistance blocks discussed in this NebGuide.

Ec71-752 Scheduling Irrigations By Electrical Resistance Blocks, Paul Fischbach

University of Nebraska-Lincoln Extension: Historical Materials

Extension Circular 71-752: Scheduling Irrigations by electrical resistance blocks; where to place the electrical resistance blocks, depth of installation, meter reading as related to soil moisture, scheduling irrigation and determining soil texture. Start and stop irrigation, evaluating water distribution, and installation of the blocks.

Ec65-752 Scheduling Irrigations By Electrical Resistance Blocks, Paul Fischbach

University of Nebraska-Lincoln Extension: Historical Materials

Extension circular 65-752: scheduling irrigations by electrical resistance blocks.