A Compromised-Time-Cost Scheduling Algorithm in SwinDeW-C for Instance-Intensive Cost-Constrained Workflows on Cloud Co

Dec 23, 2012

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A Compromised-Time-Cost Scheduling Algorithm in SwinDeW-C for Instance-Intensive Cost-Constrained Workflows on Cloud Co

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A Genetic Algorithm for Workload Scheduling In Cloud Based e-Learning

A Genetic Algorithm for Workload Scheduling In Cloud Based e-Learning. Octavian Morariu Cristina Morariu Theodor Borangiu University Politehnica Bucharest. A resource view on Public(large)/Private(small) Clouds. Public Clouds Amazon, Microsoft Azure, Google General purpose

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Algorithm Cost Algorithm Complexity

Lecture 23. Algorithm Cost Algorithm Complexity. Algorithm Cost. LB. Back to Bunnies. Recall that we calculated Fibonacci Numbers using two different techniques Recursion Iteration. LB. Back to Bunnies. Recursive calculation of Fibonacci Numbers: Fib(1) = 1 Fib(2) = 1

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The Cloud Cost Model

The Cloud Cost Model. Chapter 3. AWS Account Activity. $2498.42. Account Activity Expanded. 50.15. 590 Hrs. 96.66. Software Licenses. C loud environments come with costs bundled with the instances for the common operating systems and software packages:

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Time-Cost Evaluation

Time-Cost Evaluation. Actual (Actual Cost of Work Completed). Earned Value (EV) (Budgeted Cost of Work Completed). Planned Value (PV) (Budgeted Cost of Work Scheduled). Cost. 0. Time. Schedule Variance SV = EV – PV Positive SV Means Early Negative SV means Late. Cost Variance

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A GPU algorithm design for the Resource Constrained Project Scheduling Problem

A GPU algorithm design for the Resource Constrained Project Scheduling Problem. Libor Bukata and Přemysl Šůcha { bukatlib,suchap }@ fel.cvut.cz The Czech Technical University in Prague. Motivation. Our motivation is to use power of the GPU to solve combinatorial problems. Existing works:

394 views • 17 slides

A Polynomial Time Approximation Scheme For Timing Constrained Minimum Cost Layer Assignment

A Polynomial Time Approximation Scheme For Timing Constrained Minimum Cost Layer Assignment. Shiyan Hu *, Zhuo Li**, Charles J. Alpert** *Dept of Electrical and Computer Engineering, Michigan Technological University **IBM Austin Research Lab. Outline. Motivation Problem Formulation

343 views • 22 slides

Cost Planning & Scheduling

Cost Planning & Scheduling. CTC-415. Bid Estimate. Becomes the project budget upon signing of contract Can cost load the schedule Effective means of cost control Predict time of cash requirements over course of project. Activity Cost. Amount expended by contractor on activity

414 views • 21 slides

Optimizing for Cost in the Cloud

Optimizing for Cost in the Cloud. Miles Ward - Solutions Architect @ milesward. “I said turn the lights off!!”. Turn off what you don’t need (automatically). 25 % Savings. Optimize by the time of day . Auto scaling : Types of Scaling. Scaling by Schedule

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Cost-driven Scheduling of Grid Workflows Using Partial Critical Paths

Cost-driven Scheduling of Grid Workflows Using Partial Critical Paths. Saeid Abrishami and Mahmoud Naghibzadeh Ferdowsi University of Mashhad Mashhad, Iran. Dick Epema Delft University of Technology Delft, the Netherlands. Grid 2010, Brussels, Belgium. Introduction.

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Leveraging GIS for Effective Groundwater Monitoring in a Cost Constrained Environment

Leveraging GIS for Effective Groundwater Monitoring in a Cost Constrained Environment. Joshua Cimera 1 ; John Mansfield 1 ; Dale Prewett 1 ; Peter King 1 ; Carl Walters 2 Goulburn Murray Water 1 ; Goulburn Broken CMA 2. Partnership Acknowledgment.

456 views • 34 slides

Scheduling Time Constrained Communication in Linear Networks

Scheduling Time Constrained Communication in Linear Networks. Micah Adler, Arnold L. Rosenberg, Ramesh K. Sitaraman and Walter Unger. The Problem – A Formal Definition. The underlying graph is a linear array.

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Risk-Constrained Least-Cost Planning

Risk-Constrained Least-Cost Planning. Michael Schilmoeller Northwest Power and Conservation Council for the NARUC 119th Annual Convention November 12, 2007. Overview. Planning Principles. Selection of Resource Plans. Selection of Resource Plans. Planning Principles.

252 views • 15 slides

CARDIO: Cost-Aware Replication for Data-Intensive workflOws

CARDIO: Cost-Aware Replication for Data-Intensive workflOws. Presented by Chen He. Motivation. Is large scale cluster reliable? 5 average worker deaths per Map-Reduce job At least 1 disk failure in every run of a 6- hour MapReduce job on a 4000-node cluster. Motivation.

381 views • 27 slides

Cost-based scheduling algorithm for workflow-based application in optical grid

Cost-based scheduling algorithm for workflow-based application in optical grid. Lingzhi Zhang 2011.10.12. Introduction The mathematical model The Minimum Cost Based Scheduling Algorithm(MCBS) Conclusions. 1. what is workflow-based application 2. the background of our research

300 views • 14 slides

Time-Cost Tradeoffs

Time-Cost Tradeoffs. Time-Cost Tradeoff Example. Time-Cost Tradeoff Example (cont’d). Project. Duration. Total Direct. (weeks). Critical Path(s). Task(s) Reduced. Cost. 22. Start-A-C-End. -. $320. 21. Start-A-C-End. A. $328. Start-A-B-End. 20. Start-A-C-End. C. $338.

858 views • 42 slides

Optimizing for Cost in the Cloud

Optimizing for Cost in the Cloud. Jinesh Varia @ jinman Technology Evangelist. Multiple dimensions of optimizations. Cost Performance Response time Time to market High-availability Scalability Security Manageability ……. Optimizing for Cost.

888 views • 66 slides

Cost Algorithm for a Super-B Factory

Cost Algorithm for a Super-B Factory. John T. Seeman SBF Workshop SLAC June 15, 2006. Prices. Costs are approximate and can change easily. Oku-yen ~ MEuro ~ M$ Different geometries have very different estimates. Linear-B scheme. HER injection. LER injection. LER. HER.

280 views • 12 slides

Cura : A Cost-optimized Model for MapReduce in a Cloud

Cura : A Cost-optimized Model for MapReduce in a Cloud. Balaji Palanisamy , Aameek Singh, Ling Liu and Bryan Langston. Data Growth. Worldwide Corporate Data Growth. 80 % of data growth:. IT.com analyses the. unstructured data. Exabytes. Source: IDC, The Digital Universe 2010.

405 views • 17 slides

COST C 26

COST C 26. URBAN HABITAT CONSTRUCTIONS UNDER CATASTROPHIC EVENTS. STATISTICAL OVERVIEW. NATURAL CATASTROPHIES. NATURAL DISASTERS EUROPE. NUMBER OF FATALITIES. ECONOMIC LOSSES. NUMBER OF EVENTS. 1.125 (100%). 402.890 (100%). $ 219.171.990.000 (100%). 1900-2005. 775 (68,9%).

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Akasia cloud cost planing

IT environments today are highly mixed – with multiple virtualization platforms as well as multiple public cloud deployments such as AWS, IBM SoftLayer, Rackspace, vCloud Air, Google Compute Engine and others. While it has become easier to move workloads between platforms and clouds, the cost impact of moving workloads is unknown, leading to unexpected charges, or worse, un-noticed waste of IT resources. For more info click here: http://akasiacloud.com/

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Cloud Server Cost in India

If you teased to think about cloud server cost in India Then this pdf will help you to know more about cloud server and explain you how much what is the importance of cloud server in our business.

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The Cloud Cost Model

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A Compromised-Time-Cost Scheduling Algorithm in SwinDeW-C for Instance-Intensive Cost-Constrained Workflows on Cloud Co

A Compromised-Time-Cost Scheduling Algorithm in SwinDeW-C for Instance-Intensive Cost-Constrained Workflows on Cloud Co

Presentation Transcript

A Genetic Algorithm for Workload Scheduling In Cloud Based e-Learning

Algorithm Cost Algorithm Complexity

The Cloud Cost Model

Time-Cost Evaluation

A GPU algorithm design for the Resource Constrained Project Scheduling Problem

A Polynomial Time Approximation Scheme For Timing Constrained Minimum Cost Layer Assignment

Cost Planning &amp; Scheduling

Optimizing for Cost in the Cloud

Cost-driven Scheduling of Grid Workflows Using Partial Critical Paths

Leveraging GIS for Effective Groundwater Monitoring in a Cost Constrained Environment

Scheduling Time Constrained Communication in Linear Networks

Risk-Constrained Least-Cost Planning

CARDIO: Cost-Aware Replication for Data-Intensive workflOws

Cost-based scheduling algorithm for workflow-based application in optical grid

Time-Cost Tradeoffs

Optimizing for Cost in the Cloud

Cost Algorithm for a Super-B Factory

Cura : A Cost-optimized Model for MapReduce in a Cloud

COST C 26

Akasia cloud cost planing

Cloud Server Cost in India

The Cloud Cost Model

Cost Planning & Scheduling