SlideShare a Scribd company logo
Submitted By:
Dharmendra Singh
Reg.no-RA1511008030061
IT’A’
Submitted to:
Mrs Kanika garg
Faculty IT department
Seminar-II, 15IT381L
Contents
 Introduction
 Literature survey
 Problem statements
 Objects
 Technique & tools
 Experimental Result
 Conclusion
 References
Introduction
 Reliability problems produced in the 1920s. At that time, people just have
a preliminary understanding that the problem of reliability.
 With the rapid development of computer network, the problem of
reliability of computer network is becoming more and more attention of
builders, users and the network designer.
 Reliability optimization and design of computer network is proposed
firstly by Boecsh, the main issues related to the computer network
reliability optimization and improvement of computer network topology.
 Study on the reliability of computer network is increasingly deepening,
and constantly open up new field potential. This phenomenon strongly
suggest that, on the computer network reliability will gain greater impetus,
its scope of application will be more expanded, in practical applications
will achieve more fruitful results
Literature survey
 Transmission expansion by branch-and-bound integer
programming with optimal cost-capacity curves, Power paratus and
Systems.
 Two factors distinguish between a traditional design and a re-
design concept for a supply chain network design.
 The first aspect is the state of the properties potential sites (i.e., the
number, capacity level of the facilities, transportation and
warehousing costs) that affect the optimal configuration of the
supply chain network.
 Furthermore, every change in the network state (disruption,
changing in costs, etc.) with respect to improve the service level of
customers need substantial capital investment and has a long-
lasting effect on the efficiency of the supply chain activities .
 Second, a re-design concept should be changed gradually the state
of existing facilities (phase out, capacity transfer, etc.). For this
reason, a re-design is more complex compared with a traditional
design of a supply chain network. The re-design aspect in the
supply chain network has not received as much attention as
traditional aspect in the literature.
 Due to the numerous researches implemented in the traditional
design, we only present the related recent studies in re-design,
reliability and uncertainty issues in supply chain network.
Task allocation for maximizing
reliability of distributed computer
systems
 For distributed systems, system reliability is defined as the probability that
the system can run an entire task successfully.
 When the system's hardware configuration is fixed, the system reliability
is mainly dependent on the software design.
 The task allocation problem is addressed with the goal of maximizing the
system reliability. A quantitative problem model, algorithms for optimal
and suboptimal solutions, and simulation results are provided and
discussed.
Reliable path for virtual endoscopy:
ensuring complete examination of
human organs
 Virtual endoscopy is a computerized, noninvasive procedure for detecting
anomalies inside human organs.
 Several preliminary studies have demonstrated the benefits and
effectiveness of this modality. Unfortunately, previous work cannot
guarantee that an existing anomaly will be detected, especially for
complex organs with multiple branches.
 In this paper, we introduce the concept of reliable navigation, which
ensures the interior organ surface is fully examined by the physician
performing the virtual endoscopy procedure.
 To achieve this, we propose computing a reliable fly-through path that
ensures no blind areas during the navigation
Optimum design of IC
power/ground nets subject to
reliability constraints
 The authors formulate and solve the problem of sizing power/ground (p/g)
nets in integrated circuits composed of modules, where the nets are routed
as trees in the channels between the modules.
 Constraints are developed to maintain proper logic levels and switching
speed, to prevent electro migration, and to satisfy certain design rule
requirements.
 The objective is to minimize the area of the p/g nets subject to these
constraints. An optimization technique tailored to this problem is
developed.
 The technique solves the problem more efficiently than the steepest
descent method and Newton's method. Several case studies are presented.
Algorithm
 Genetic algorithm (Gneetic Algorhitm, referred to as GA) is an
effective method to solve the optimization problem. The first it is
inspired by the J.Holand in 1975 by evolutionism, and puts forward
.
 GA is based on the "survival of the fittest" is a highly parallel,
random and adaptive optimization algorithm, it shows the solution
of the problem as "survival of the fittest chromosomes during",
through the "chromosome" group of generations of evolution,
including reproduction, crossover and mutation, eventually
converge to the "best adapted to their environment" the individual,
thus obtains the optimal solution of the problem or satisfactory
solution. At present, with the development of computer technology.
 GA has been paid more and more attention, and in machine
learning, pattern recognition, image processing,
 F(x)=(x-1)/(pop-size-1) Where: x-the position of individual in the cost
sequencing.
 (1<=x<= Pop- size) The evolutionary computation (option).
 This paper by the way of “runner selection”, the basic idea is that each
gene selection probability proportional to its fitness.
 For fitness for human gene, the choice probability ruler is calculated
according to the following formula
Problem statements
 The problem of reliability of computer network is becoming more and
more attention of builders, users and the network designer .
 The reliability of computer network has become a key technical indicators
to measure the comprehensive performance of computer network .
 The main issues related to the computer network reliability optimization
and improvement of computer network topology.
 Early research on computer network reliability, it is mainly based on
computer network connection and cohesion as the measure of the
reliability of computer network .
Objects
 We propose a bi-objective two-stage stochastic mixed-integer
linear programming.
 The importance of considering reliability concepts is considered
and modeled.
 Two type of delivery lead times has taken into account under
reliability.
 An industrial case study is used to show the applicability of the
proposed optimization model.
 In order to obtain Pareto optimal solutions, a novel version of
constraint method is applied.
Technique & tools
 Bathtub curve
 Configuration model
 Critical item list
 Decision trees
 Contract for reliability
Experimental results
 This paper cite optimization simulation example calculation of a
computer network reliability.
 Computer network link cost model to see the model, points N=6
node computer network, computer network node reliability
constraint constant,, the number of iterations of genetic operation is
100 times.
 The cost matrix of computer network link and computer network
reliability matrix ,respectively as follows.
The Simulation Graphs of the Cost
of Computer Network Link
The Simulation Graphs of the
Reliability of Computer Network
Conclusion
 The problem of reliability optimization design of computer network is a complex
optimization problem .
 Genetic algorithm, neural network, fuzzy neural network intelligent algorithm
provides a new idea and approach for solving this kind of problem
 The rapid development of the computer network, increasing factors affecting the
reliability of computer network promote hand, on the other hand, put forward
higher requirements "therefore, in order to measure the impact of computer network
reliability index system of computer network reliability is mentioned in the paper
and the factors of computer network reliability index system should be perfected,
enriched and improved .
References
 [1] S. T. Y. Lee, K. L. Hicks and E. Hnyilicza, “Transmission expansion by
branch-and-bound integer programming with optimal cost-capacity curves,
Power Apparatus and Systems, IEEE Transactions, vol. 5, (1974), pp.
1390-1400.
 [2] M. G. Rabbat, R. D. Nowak and J. A. Bucklew, “Generalized
consensus computation in networked systems with erasure links”, Signal
Processing Advances in Wireless Communications, IEEE 6th Workshop,
IEEE, (2005), pp. 1088-1092.
 [3] S. Kartik and C. S. R. Murthy, “Task allocation algorithms for
maximizing reliability of distributed computing systems”, Computers,
IEEE Transactions, vol. 46, no. 6, (1997), pp. 719-724.
 [4] B. Dengiz, F. Altiparmak, A. E. Smith, “Efficient optimization of all-
terminal reliable networks, using an evolutionary approach”, Reliability,
IEEE Transactions, vol. 46, no. 1, (1997), pp. 18-26.
 [5] T. He, L. Hong and D. Chen D, “Reliable path for virtual endoscopy:
ensuring complete examination of human organs”, Visualization and
Computer Graphics, IEEE Transactions, vol. 7, no. 4, (2001), pp. 333-342.
Thank You

More Related Content

What's hot

A systems engineering methodology for wide area network selection
A systems engineering methodology for wide area network selectionA systems engineering methodology for wide area network selection
A systems engineering methodology for wide area network selection
Alexander Decker
 
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITYUSE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
IJMIT JOURNAL
 
Energy efficient intelligent routing in WSN using dominant genetic algorithm
Energy efficient intelligent routing in WSN using dominant genetic algorithmEnergy efficient intelligent routing in WSN using dominant genetic algorithm
Energy efficient intelligent routing in WSN using dominant genetic algorithm
IJECEIAES
 
Internet of things-based photovoltaics parameter monitoring system using Node...
Internet of things-based photovoltaics parameter monitoring system using Node...Internet of things-based photovoltaics parameter monitoring system using Node...
Internet of things-based photovoltaics parameter monitoring system using Node...
IJECEIAES
 
AN EFFICIENT BANDWIDTH OPTIMIZATION AND MINIMIZING ENERGY CONSUMPTION UTILIZI...
AN EFFICIENT BANDWIDTH OPTIMIZATION AND MINIMIZING ENERGY CONSUMPTION UTILIZI...AN EFFICIENT BANDWIDTH OPTIMIZATION AND MINIMIZING ENERGY CONSUMPTION UTILIZI...
AN EFFICIENT BANDWIDTH OPTIMIZATION AND MINIMIZING ENERGY CONSUMPTION UTILIZI...
IJCNCJournal
 

What's hot (20)

A systems engineering methodology for wide area network selection
A systems engineering methodology for wide area network selectionA systems engineering methodology for wide area network selection
A systems engineering methodology for wide area network selection
 
Mobile Agents based Energy Efficient Routing for Wireless Sensor Networks
Mobile Agents based Energy Efficient Routing for Wireless Sensor NetworksMobile Agents based Energy Efficient Routing for Wireless Sensor Networks
Mobile Agents based Energy Efficient Routing for Wireless Sensor Networks
 
Reconfigurable High Performance Secured NoC Design Using Hierarchical Agent-b...
Reconfigurable High Performance Secured NoC Design Using Hierarchical Agent-b...Reconfigurable High Performance Secured NoC Design Using Hierarchical Agent-b...
Reconfigurable High Performance Secured NoC Design Using Hierarchical Agent-b...
 
Artificial Neural Networks for Construction Management: A Review
Artificial Neural Networks for Construction Management: A ReviewArtificial Neural Networks for Construction Management: A Review
Artificial Neural Networks for Construction Management: A Review
 
Balancing Trade-off between Data Security and Energy Model for Wireless Senso...
Balancing Trade-off between Data Security and Energy Model for Wireless Senso...Balancing Trade-off between Data Security and Energy Model for Wireless Senso...
Balancing Trade-off between Data Security and Energy Model for Wireless Senso...
 
Revanth Vemulapalli_pdf
Revanth Vemulapalli_pdfRevanth Vemulapalli_pdf
Revanth Vemulapalli_pdf
 
Towards 802.11g Signal Strength Estimation in an Industrial Environment: a Pr...
Towards 802.11g Signal Strength Estimation in an Industrial Environment: a Pr...Towards 802.11g Signal Strength Estimation in an Industrial Environment: a Pr...
Towards 802.11g Signal Strength Estimation in an Industrial Environment: a Pr...
 
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITYUSE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
 
Industrial big data analytics for prediction of remaining useful life based o...
Industrial big data analytics for prediction of remaining useful life based o...Industrial big data analytics for prediction of remaining useful life based o...
Industrial big data analytics for prediction of remaining useful life based o...
 
Ax34298305
Ax34298305Ax34298305
Ax34298305
 
20320140503011
2032014050301120320140503011
20320140503011
 
Energy efficient intelligent routing in WSN using dominant genetic algorithm
Energy efficient intelligent routing in WSN using dominant genetic algorithmEnergy efficient intelligent routing in WSN using dominant genetic algorithm
Energy efficient intelligent routing in WSN using dominant genetic algorithm
 
High performance intrusion detection using modified k mean &amp; naïve bayes
High performance intrusion detection using modified k mean &amp; naïve bayesHigh performance intrusion detection using modified k mean &amp; naïve bayes
High performance intrusion detection using modified k mean &amp; naïve bayes
 
Literature Review: Application of Artificial Neural Network in Civil Engineering
Literature Review: Application of Artificial Neural Network in Civil EngineeringLiterature Review: Application of Artificial Neural Network in Civil Engineering
Literature Review: Application of Artificial Neural Network in Civil Engineering
 
Internet of things-based photovoltaics parameter monitoring system using Node...
Internet of things-based photovoltaics parameter monitoring system using Node...Internet of things-based photovoltaics parameter monitoring system using Node...
Internet of things-based photovoltaics parameter monitoring system using Node...
 
Data centric multiobjective qo s-aware routing protocol (dm-qos) for body are...
Data centric multiobjective qo s-aware routing protocol (dm-qos) for body are...Data centric multiobjective qo s-aware routing protocol (dm-qos) for body are...
Data centric multiobjective qo s-aware routing protocol (dm-qos) for body are...
 
Implementation of digital image watermarking techniques using dwt and dwt svd...
Implementation of digital image watermarking techniques using dwt and dwt svd...Implementation of digital image watermarking techniques using dwt and dwt svd...
Implementation of digital image watermarking techniques using dwt and dwt svd...
 
Big picture of electronics and instrumentation engineering
Big picture of electronics and instrumentation engineeringBig picture of electronics and instrumentation engineering
Big picture of electronics and instrumentation engineering
 
AN EFFICIENT BANDWIDTH OPTIMIZATION AND MINIMIZING ENERGY CONSUMPTION UTILIZI...
AN EFFICIENT BANDWIDTH OPTIMIZATION AND MINIMIZING ENERGY CONSUMPTION UTILIZI...AN EFFICIENT BANDWIDTH OPTIMIZATION AND MINIMIZING ENERGY CONSUMPTION UTILIZI...
AN EFFICIENT BANDWIDTH OPTIMIZATION AND MINIMIZING ENERGY CONSUMPTION UTILIZI...
 
A review on energy efficient clustering routing
A review on energy efficient clustering routingA review on energy efficient clustering routing
A review on energy efficient clustering routing
 

Similar to Study on reliability optimization problem of computer By Dharmendra Singh[Srm unuversity] Delhi Ncr

Ns2 2015 2016 ieee project list-(v)_with abstract(S3 Infotech:9884848198)
Ns2 2015 2016 ieee project list-(v)_with abstract(S3 Infotech:9884848198)Ns2 2015 2016 ieee project list-(v)_with abstract(S3 Infotech:9884848198)
Ns2 2015 2016 ieee project list-(v)_with abstract(S3 Infotech:9884848198)
S3 Infotech IEEE Projects
 
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMS
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMSARTIFICIAL INTELLIGENCE IN POWER SYSTEMS
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMS
vivatechijri
 
An overview on application of machine learning techniques in optical networks
An overview on application of machine learning techniques in optical networksAn overview on application of machine learning techniques in optical networks
An overview on application of machine learning techniques in optical networks
Khaleda Ali
 
International Journal of Engineering (IJE) Volume (3) Issue (1)
International Journal of Engineering (IJE) Volume (3)  Issue (1)International Journal of Engineering (IJE) Volume (3)  Issue (1)
International Journal of Engineering (IJE) Volume (3) Issue (1)
CSCJournals
 
Energy Efficient Optimal Paths Using PDORP-LC
Energy Efficient Optimal Paths Using PDORP-LCEnergy Efficient Optimal Paths Using PDORP-LC
Energy Efficient Optimal Paths Using PDORP-LC
paperpublications3
 
On Using Network Science in Mining Developers Collaboration in Software Engin...
On Using Network Science in Mining Developers Collaboration in Software Engin...On Using Network Science in Mining Developers Collaboration in Software Engin...
On Using Network Science in Mining Developers Collaboration in Software Engin...
IJDKP
 

Similar to Study on reliability optimization problem of computer By Dharmendra Singh[Srm unuversity] Delhi Ncr (20)

FAST AND ACCURATE MINING THE COMMUNITY STRUCTURE: INTEGRATING CENTER LOCATING...
FAST AND ACCURATE MINING THE COMMUNITY STRUCTURE: INTEGRATING CENTER LOCATING...FAST AND ACCURATE MINING THE COMMUNITY STRUCTURE: INTEGRATING CENTER LOCATING...
FAST AND ACCURATE MINING THE COMMUNITY STRUCTURE: INTEGRATING CENTER LOCATING...
 
CAN SENSORS COLLECT BIG DATA? AN ENERGY EFFICIENT BIG DATA GATHERING ALGORIT...
 CAN SENSORS COLLECT BIG DATA? AN ENERGY EFFICIENT BIG DATA GATHERING ALGORIT... CAN SENSORS COLLECT BIG DATA? AN ENERGY EFFICIENT BIG DATA GATHERING ALGORIT...
CAN SENSORS COLLECT BIG DATA? AN ENERGY EFFICIENT BIG DATA GATHERING ALGORIT...
 
Ns2 2015 2016 ieee project list-(v)_with abstract(S3 Infotech:9884848198)
Ns2 2015 2016 ieee project list-(v)_with abstract(S3 Infotech:9884848198)Ns2 2015 2016 ieee project list-(v)_with abstract(S3 Infotech:9884848198)
Ns2 2015 2016 ieee project list-(v)_with abstract(S3 Infotech:9884848198)
 
Novel Scheme for Minimal Iterative PSO Algorithm for Extending Network Lifeti...
Novel Scheme for Minimal Iterative PSO Algorithm for Extending Network Lifeti...Novel Scheme for Minimal Iterative PSO Algorithm for Extending Network Lifeti...
Novel Scheme for Minimal Iterative PSO Algorithm for Extending Network Lifeti...
 
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMS
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMSARTIFICIAL INTELLIGENCE IN POWER SYSTEMS
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMS
 
A novel predictive optimization scheme for energy-efficient reliable operatio...
A novel predictive optimization scheme for energy-efficient reliable operatio...A novel predictive optimization scheme for energy-efficient reliable operatio...
A novel predictive optimization scheme for energy-efficient reliable operatio...
 
An overview on application of machine learning techniques in optical networks
An overview on application of machine learning techniques in optical networksAn overview on application of machine learning techniques in optical networks
An overview on application of machine learning techniques in optical networks
 
IEEE Networking 2016 Title and Abstract
IEEE Networking 2016 Title and AbstractIEEE Networking 2016 Title and Abstract
IEEE Networking 2016 Title and Abstract
 
A Novel Weighted Clustering Based Approach for Improving the Wireless Sensor ...
A Novel Weighted Clustering Based Approach for Improving the Wireless Sensor ...A Novel Weighted Clustering Based Approach for Improving the Wireless Sensor ...
A Novel Weighted Clustering Based Approach for Improving the Wireless Sensor ...
 
International Journal of Engineering (IJE) Volume (3) Issue (1)
International Journal of Engineering (IJE) Volume (3)  Issue (1)International Journal of Engineering (IJE) Volume (3)  Issue (1)
International Journal of Engineering (IJE) Volume (3) Issue (1)
 
Congestion aware routing algorithm network on chip
Congestion aware routing algorithm network on chipCongestion aware routing algorithm network on chip
Congestion aware routing algorithm network on chip
 
IRJET- An Optimal Algorithm for Data Centres to Minimize the Power Supply
IRJET-  	  An Optimal Algorithm for Data Centres to Minimize the Power SupplyIRJET-  	  An Optimal Algorithm for Data Centres to Minimize the Power Supply
IRJET- An Optimal Algorithm for Data Centres to Minimize the Power Supply
 
MeMLO: Mobility-Enabled Multi-Level Optimization Sensor Network
MeMLO: Mobility-Enabled Multi-Level Optimization Sensor Network MeMLO: Mobility-Enabled Multi-Level Optimization Sensor Network
MeMLO: Mobility-Enabled Multi-Level Optimization Sensor Network
 
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Fault tolerant network interfaces fo...
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Fault tolerant network interfaces fo...IEEE 2014 JAVA NETWORK SECURITY PROJECTS Fault tolerant network interfaces fo...
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Fault tolerant network interfaces fo...
 
Insights on critical energy efficiency approaches in internet-ofthings applic...
Insights on critical energy efficiency approaches in internet-ofthings applic...Insights on critical energy efficiency approaches in internet-ofthings applic...
Insights on critical energy efficiency approaches in internet-ofthings applic...
 
Energy Efficient Optimal Paths Using PDORP-LC
Energy Efficient Optimal Paths Using PDORP-LCEnergy Efficient Optimal Paths Using PDORP-LC
Energy Efficient Optimal Paths Using PDORP-LC
 
IEEE 2015 NS2 Projects
IEEE 2015 NS2 ProjectsIEEE 2015 NS2 Projects
IEEE 2015 NS2 Projects
 
IEEE 2015 NS2 Projects
IEEE 2015 NS2 ProjectsIEEE 2015 NS2 Projects
IEEE 2015 NS2 Projects
 
Analysis of Genetic Algorithm for Effective power Delivery and with Best Upsurge
Analysis of Genetic Algorithm for Effective power Delivery and with Best UpsurgeAnalysis of Genetic Algorithm for Effective power Delivery and with Best Upsurge
Analysis of Genetic Algorithm for Effective power Delivery and with Best Upsurge
 
On Using Network Science in Mining Developers Collaboration in Software Engin...
On Using Network Science in Mining Developers Collaboration in Software Engin...On Using Network Science in Mining Developers Collaboration in Software Engin...
On Using Network Science in Mining Developers Collaboration in Software Engin...
 

Recently uploaded

LIGA(E)11111111111111111111111111111111111111111.ppt
LIGA(E)11111111111111111111111111111111111111111.pptLIGA(E)11111111111111111111111111111111111111111.ppt
LIGA(E)11111111111111111111111111111111111111111.ppt
ssuser9bd3ba
 
Digital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdfDigital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdf
AbrahamGadissa
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
fxintegritypublishin
 
Online blood donation management system project.pdf
Online blood donation management system project.pdfOnline blood donation management system project.pdf
Online blood donation management system project.pdf
Kamal Acharya
 
power quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptxpower quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptx
ViniHema
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
Neometrix_Engineering_Pvt_Ltd
 
Antenna efficency lecture course chapter 3.pdf
Antenna  efficency lecture course chapter 3.pdfAntenna  efficency lecture course chapter 3.pdf
Antenna efficency lecture course chapter 3.pdf
AbrahamGadissa
 
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical SolutionsRS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
Atif Razi
 

Recently uploaded (20)

LIGA(E)11111111111111111111111111111111111111111.ppt
LIGA(E)11111111111111111111111111111111111111111.pptLIGA(E)11111111111111111111111111111111111111111.ppt
LIGA(E)11111111111111111111111111111111111111111.ppt
 
Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.
 
Digital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdfDigital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdf
 
Vaccine management system project report documentation..pdf
Vaccine management system project report documentation..pdfVaccine management system project report documentation..pdf
Vaccine management system project report documentation..pdf
 
fluid mechanics gate notes . gate all pyqs answer
fluid mechanics gate notes . gate all pyqs answerfluid mechanics gate notes . gate all pyqs answer
fluid mechanics gate notes . gate all pyqs answer
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
 
fundamentals of drawing and isometric and orthographic projection
fundamentals of drawing and isometric and orthographic projectionfundamentals of drawing and isometric and orthographic projection
fundamentals of drawing and isometric and orthographic projection
 
shape functions of 1D and 2 D rectangular elements.pptx
shape functions of 1D and 2 D rectangular elements.pptxshape functions of 1D and 2 D rectangular elements.pptx
shape functions of 1D and 2 D rectangular elements.pptx
 
The Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdfThe Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdf
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
 
Online blood donation management system project.pdf
Online blood donation management system project.pdfOnline blood donation management system project.pdf
Online blood donation management system project.pdf
 
Top 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering ScientistTop 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering Scientist
 
A case study of cinema management system project report..pdf
A case study of cinema management system project report..pdfA case study of cinema management system project report..pdf
A case study of cinema management system project report..pdf
 
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
 
power quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptxpower quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptx
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
 
Antenna efficency lecture course chapter 3.pdf
Antenna  efficency lecture course chapter 3.pdfAntenna  efficency lecture course chapter 3.pdf
Antenna efficency lecture course chapter 3.pdf
 
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical SolutionsRS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
 
Toll tax management system project report..pdf
Toll tax management system project report..pdfToll tax management system project report..pdf
Toll tax management system project report..pdf
 

Study on reliability optimization problem of computer By Dharmendra Singh[Srm unuversity] Delhi Ncr

  • 1. Submitted By: Dharmendra Singh Reg.no-RA1511008030061 IT’A’ Submitted to: Mrs Kanika garg Faculty IT department Seminar-II, 15IT381L
  • 2. Contents  Introduction  Literature survey  Problem statements  Objects  Technique & tools  Experimental Result  Conclusion  References
  • 3. Introduction  Reliability problems produced in the 1920s. At that time, people just have a preliminary understanding that the problem of reliability.  With the rapid development of computer network, the problem of reliability of computer network is becoming more and more attention of builders, users and the network designer.  Reliability optimization and design of computer network is proposed firstly by Boecsh, the main issues related to the computer network reliability optimization and improvement of computer network topology.  Study on the reliability of computer network is increasingly deepening, and constantly open up new field potential. This phenomenon strongly suggest that, on the computer network reliability will gain greater impetus, its scope of application will be more expanded, in practical applications will achieve more fruitful results
  • 4. Literature survey  Transmission expansion by branch-and-bound integer programming with optimal cost-capacity curves, Power paratus and Systems.  Two factors distinguish between a traditional design and a re- design concept for a supply chain network design.  The first aspect is the state of the properties potential sites (i.e., the number, capacity level of the facilities, transportation and warehousing costs) that affect the optimal configuration of the supply chain network.  Furthermore, every change in the network state (disruption, changing in costs, etc.) with respect to improve the service level of customers need substantial capital investment and has a long- lasting effect on the efficiency of the supply chain activities .
  • 5.  Second, a re-design concept should be changed gradually the state of existing facilities (phase out, capacity transfer, etc.). For this reason, a re-design is more complex compared with a traditional design of a supply chain network. The re-design aspect in the supply chain network has not received as much attention as traditional aspect in the literature.  Due to the numerous researches implemented in the traditional design, we only present the related recent studies in re-design, reliability and uncertainty issues in supply chain network.
  • 6. Task allocation for maximizing reliability of distributed computer systems  For distributed systems, system reliability is defined as the probability that the system can run an entire task successfully.  When the system's hardware configuration is fixed, the system reliability is mainly dependent on the software design.  The task allocation problem is addressed with the goal of maximizing the system reliability. A quantitative problem model, algorithms for optimal and suboptimal solutions, and simulation results are provided and discussed.
  • 7. Reliable path for virtual endoscopy: ensuring complete examination of human organs  Virtual endoscopy is a computerized, noninvasive procedure for detecting anomalies inside human organs.  Several preliminary studies have demonstrated the benefits and effectiveness of this modality. Unfortunately, previous work cannot guarantee that an existing anomaly will be detected, especially for complex organs with multiple branches.  In this paper, we introduce the concept of reliable navigation, which ensures the interior organ surface is fully examined by the physician performing the virtual endoscopy procedure.  To achieve this, we propose computing a reliable fly-through path that ensures no blind areas during the navigation
  • 8. Optimum design of IC power/ground nets subject to reliability constraints  The authors formulate and solve the problem of sizing power/ground (p/g) nets in integrated circuits composed of modules, where the nets are routed as trees in the channels between the modules.  Constraints are developed to maintain proper logic levels and switching speed, to prevent electro migration, and to satisfy certain design rule requirements.  The objective is to minimize the area of the p/g nets subject to these constraints. An optimization technique tailored to this problem is developed.  The technique solves the problem more efficiently than the steepest descent method and Newton's method. Several case studies are presented.
  • 9. Algorithm  Genetic algorithm (Gneetic Algorhitm, referred to as GA) is an effective method to solve the optimization problem. The first it is inspired by the J.Holand in 1975 by evolutionism, and puts forward .  GA is based on the "survival of the fittest" is a highly parallel, random and adaptive optimization algorithm, it shows the solution of the problem as "survival of the fittest chromosomes during", through the "chromosome" group of generations of evolution, including reproduction, crossover and mutation, eventually converge to the "best adapted to their environment" the individual, thus obtains the optimal solution of the problem or satisfactory solution. At present, with the development of computer technology.  GA has been paid more and more attention, and in machine learning, pattern recognition, image processing,
  • 10.  F(x)=(x-1)/(pop-size-1) Where: x-the position of individual in the cost sequencing.  (1<=x<= Pop- size) The evolutionary computation (option).  This paper by the way of “runner selection”, the basic idea is that each gene selection probability proportional to its fitness.  For fitness for human gene, the choice probability ruler is calculated according to the following formula
  • 11. Problem statements  The problem of reliability of computer network is becoming more and more attention of builders, users and the network designer .  The reliability of computer network has become a key technical indicators to measure the comprehensive performance of computer network .  The main issues related to the computer network reliability optimization and improvement of computer network topology.  Early research on computer network reliability, it is mainly based on computer network connection and cohesion as the measure of the reliability of computer network .
  • 12. Objects  We propose a bi-objective two-stage stochastic mixed-integer linear programming.  The importance of considering reliability concepts is considered and modeled.  Two type of delivery lead times has taken into account under reliability.  An industrial case study is used to show the applicability of the proposed optimization model.  In order to obtain Pareto optimal solutions, a novel version of constraint method is applied.
  • 13. Technique & tools  Bathtub curve  Configuration model  Critical item list  Decision trees  Contract for reliability
  • 14. Experimental results  This paper cite optimization simulation example calculation of a computer network reliability.  Computer network link cost model to see the model, points N=6 node computer network, computer network node reliability constraint constant,, the number of iterations of genetic operation is 100 times.  The cost matrix of computer network link and computer network reliability matrix ,respectively as follows.
  • 15. The Simulation Graphs of the Cost of Computer Network Link
  • 16. The Simulation Graphs of the Reliability of Computer Network
  • 17. Conclusion  The problem of reliability optimization design of computer network is a complex optimization problem .  Genetic algorithm, neural network, fuzzy neural network intelligent algorithm provides a new idea and approach for solving this kind of problem  The rapid development of the computer network, increasing factors affecting the reliability of computer network promote hand, on the other hand, put forward higher requirements "therefore, in order to measure the impact of computer network reliability index system of computer network reliability is mentioned in the paper and the factors of computer network reliability index system should be perfected, enriched and improved .
  • 18. References  [1] S. T. Y. Lee, K. L. Hicks and E. Hnyilicza, “Transmission expansion by branch-and-bound integer programming with optimal cost-capacity curves, Power Apparatus and Systems, IEEE Transactions, vol. 5, (1974), pp. 1390-1400.  [2] M. G. Rabbat, R. D. Nowak and J. A. Bucklew, “Generalized consensus computation in networked systems with erasure links”, Signal Processing Advances in Wireless Communications, IEEE 6th Workshop, IEEE, (2005), pp. 1088-1092.  [3] S. Kartik and C. S. R. Murthy, “Task allocation algorithms for maximizing reliability of distributed computing systems”, Computers, IEEE Transactions, vol. 46, no. 6, (1997), pp. 719-724.  [4] B. Dengiz, F. Altiparmak, A. E. Smith, “Efficient optimization of all- terminal reliable networks, using an evolutionary approach”, Reliability, IEEE Transactions, vol. 46, no. 1, (1997), pp. 18-26.  [5] T. He, L. Hong and D. Chen D, “Reliable path for virtual endoscopy: ensuring complete examination of human organs”, Visualization and Computer Graphics, IEEE Transactions, vol. 7, no. 4, (2001), pp. 333-342.