SlideShare a Scribd company logo
1 of 29
GRID COMPUTING FRAMEWORK ANIL HARWANI KALPESH KAGRESHA YASH LONDHE GAURAV MENGHANI (Group No. 33) Under the guidance of Ms. Sakshi Surve Assistant Professor, Computer Engineering Department
Grid Computing ,[object Object],[object Object]
Applications & Benefits ,[object Object],[object Object],[object Object]
Concerns ,[object Object],[object Object],[object Object]
Grid Computing Framework ,[object Object],[object Object]
Goals ,[object Object],[object Object],[object Object],[object Object],[object Object]
Plan of Action ,[object Object],[object Object],[object Object],[object Object],[object Object]
Submission of the Problem ,[object Object],[object Object],[object Object],[object Object],[object Object]
Division of Tasks ,[object Object],[object Object],[object Object],[object Object],[object Object]
Execution at Client-side ,[object Object],[object Object],[object Object],[object Object]
Result Compilation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Client-side State Transition Diagram
Server-side State Transition Diagram
Platform  ,[object Object],[object Object],[object Object],[object Object]
Programming on Linux   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Threads ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
Socket Programming ,[object Object],[object Object],[object Object],[object Object]
Client Server Model ,[object Object],[object Object],[object Object]
Client/Server relationship of sockets APIs for TCP
Sockets API Functions ,[object Object],[object Object],[object Object],[object Object],[object Object]
Sockets API Functions ,[object Object],[object Object],[object Object],[object Object],[object Object]
Work Done So Far ,[object Object],[object Object],[object Object],[object Object]
GUI
Further Work ,[object Object],[object Object],[object Object],[object Object]
Thank You

More Related Content

What's hot

An optimized scientific workflow scheduling in cloud computing
An optimized scientific workflow scheduling in cloud computingAn optimized scientific workflow scheduling in cloud computing
An optimized scientific workflow scheduling in cloud computing
DIGVIJAY SHINDE
 
Load Balancing In Cloud Computing newppt
Load Balancing In Cloud Computing newpptLoad Balancing In Cloud Computing newppt
Load Balancing In Cloud Computing newppt
Utshab Saha
 
Transfer Learning for Software Performance Analysis: An Exploratory Analysis
Transfer Learning for Software Performance Analysis: An Exploratory AnalysisTransfer Learning for Software Performance Analysis: An Exploratory Analysis
Transfer Learning for Software Performance Analysis: An Exploratory Analysis
Pooyan Jamshidi
 
Performance Comparision of Dynamic Load Balancing Algorithm in Cloud Computing
Performance Comparision of Dynamic Load Balancing Algorithm in Cloud ComputingPerformance Comparision of Dynamic Load Balancing Algorithm in Cloud Computing
Performance Comparision of Dynamic Load Balancing Algorithm in Cloud Computing
Eswar Publications
 

What's hot (20)

An optimized scientific workflow scheduling in cloud computing
An optimized scientific workflow scheduling in cloud computingAn optimized scientific workflow scheduling in cloud computing
An optimized scientific workflow scheduling in cloud computing
 
Task scheduling Survey in Cloud Computing
Task scheduling Survey in Cloud ComputingTask scheduling Survey in Cloud Computing
Task scheduling Survey in Cloud Computing
 
Chapter 3 pc
Chapter 3 pcChapter 3 pc
Chapter 3 pc
 
Chap5 slides
Chap5 slidesChap5 slides
Chap5 slides
 
Load Balancing In Cloud Computing newppt
Load Balancing In Cloud Computing newpptLoad Balancing In Cloud Computing newppt
Load Balancing In Cloud Computing newppt
 
Chapter 4 pc
Chapter 4 pcChapter 4 pc
Chapter 4 pc
 
Fault tolerant mechanisms in Big Data
Fault tolerant mechanisms in Big DataFault tolerant mechanisms in Big Data
Fault tolerant mechanisms in Big Data
 
Chapter 1 pc
Chapter 1 pcChapter 1 pc
Chapter 1 pc
 
Parallel algorithms
Parallel algorithmsParallel algorithms
Parallel algorithms
 
Scalable Parallel Computing on Clouds
Scalable Parallel Computing on CloudsScalable Parallel Computing on Clouds
Scalable Parallel Computing on Clouds
 
Transfer Learning for Software Performance Analysis: An Exploratory Analysis
Transfer Learning for Software Performance Analysis: An Exploratory AnalysisTransfer Learning for Software Performance Analysis: An Exploratory Analysis
Transfer Learning for Software Performance Analysis: An Exploratory Analysis
 
MapReduce: Ordering and Large-Scale Indexing on Large Clusters
MapReduce: Ordering and  Large-Scale Indexing on Large ClustersMapReduce: Ordering and  Large-Scale Indexing on Large Clusters
MapReduce: Ordering and Large-Scale Indexing on Large Clusters
 
SparkNet presentation
SparkNet presentationSparkNet presentation
SparkNet presentation
 
Capacity Planning for Linux Systems
Capacity Planning for Linux SystemsCapacity Planning for Linux Systems
Capacity Planning for Linux Systems
 
Load balancing
Load balancingLoad balancing
Load balancing
 
PRAM algorithms from deepika
PRAM algorithms from deepikaPRAM algorithms from deepika
PRAM algorithms from deepika
 
An efficient approach for load balancing using dynamic ab algorithm in cloud ...
An efficient approach for load balancing using dynamic ab algorithm in cloud ...An efficient approach for load balancing using dynamic ab algorithm in cloud ...
An efficient approach for load balancing using dynamic ab algorithm in cloud ...
 
Performance Comparision of Dynamic Load Balancing Algorithm in Cloud Computing
Performance Comparision of Dynamic Load Balancing Algorithm in Cloud ComputingPerformance Comparision of Dynamic Load Balancing Algorithm in Cloud Computing
Performance Comparision of Dynamic Load Balancing Algorithm in Cloud Computing
 
REVIEW PAPER on Scheduling in Cloud Computing
REVIEW PAPER on Scheduling in Cloud ComputingREVIEW PAPER on Scheduling in Cloud Computing
REVIEW PAPER on Scheduling in Cloud Computing
 
E01113138
E01113138E01113138
E01113138
 

Viewers also liked

Grid computing Seminar PPT
Grid computing Seminar PPTGrid computing Seminar PPT
Grid computing Seminar PPT
Upender Upr
 

Viewers also liked (8)

Pebble Grid Computing Framework
Pebble Grid Computing FrameworkPebble Grid Computing Framework
Pebble Grid Computing Framework
 
Introduction to Grid computing and e-infrastructures
Introduction to Grid computing and e-infrastructuresIntroduction to Grid computing and e-infrastructures
Introduction to Grid computing and e-infrastructures
 
Globus toolkit in grid
Globus toolkit in gridGlobus toolkit in grid
Globus toolkit in grid
 
Grid computing
Grid computingGrid computing
Grid computing
 
Grid computing
Grid computingGrid computing
Grid computing
 
Grid computing by vaishali sahare [katkar]
Grid computing by vaishali sahare [katkar]Grid computing by vaishali sahare [katkar]
Grid computing by vaishali sahare [katkar]
 
Grid computing
Grid computingGrid computing
Grid computing
 
Grid computing Seminar PPT
Grid computing Seminar PPTGrid computing Seminar PPT
Grid computing Seminar PPT
 

Similar to GCF

FPGA IMPLEMENTATION OF APPROXIMATE SOFTMAX FUNCTION FOR EFFICIENT CNN INFERENCE
FPGA IMPLEMENTATION OF APPROXIMATE SOFTMAX FUNCTION FOR EFFICIENT CNN INFERENCEFPGA IMPLEMENTATION OF APPROXIMATE SOFTMAX FUNCTION FOR EFFICIENT CNN INFERENCE
FPGA IMPLEMENTATION OF APPROXIMATE SOFTMAX FUNCTION FOR EFFICIENT CNN INFERENCE
International Research Journal of Modernization in Engineering Technology and Science
 

Similar to GCF (20)

Task programming
Task programmingTask programming
Task programming
 
djypllh5r1gjbaekxgwv-signature-cc6692615bbc55079760b9b0c6636bc58ec509cd0446cb...
djypllh5r1gjbaekxgwv-signature-cc6692615bbc55079760b9b0c6636bc58ec509cd0446cb...djypllh5r1gjbaekxgwv-signature-cc6692615bbc55079760b9b0c6636bc58ec509cd0446cb...
djypllh5r1gjbaekxgwv-signature-cc6692615bbc55079760b9b0c6636bc58ec509cd0446cb...
 
Linux-Based Data Acquisition and Processing On Palmtop Computer
Linux-Based Data Acquisition and Processing On Palmtop ComputerLinux-Based Data Acquisition and Processing On Palmtop Computer
Linux-Based Data Acquisition and Processing On Palmtop Computer
 
Linux-Based Data Acquisition and Processing On Palmtop Computer
Linux-Based Data Acquisition and Processing On Palmtop ComputerLinux-Based Data Acquisition and Processing On Palmtop Computer
Linux-Based Data Acquisition and Processing On Palmtop Computer
 
UDP Report
UDP ReportUDP Report
UDP Report
 
Programming IoT Gateways with macchina.io
Programming IoT Gateways with macchina.ioProgramming IoT Gateways with macchina.io
Programming IoT Gateways with macchina.io
 
Accelerating Spark MLlib and DataFrame with Vector Processor “SX-Aurora TSUBASA”
Accelerating Spark MLlib and DataFrame with Vector Processor “SX-Aurora TSUBASA”Accelerating Spark MLlib and DataFrame with Vector Processor “SX-Aurora TSUBASA”
Accelerating Spark MLlib and DataFrame with Vector Processor “SX-Aurora TSUBASA”
 
Data mining model for the data retrieval from central server configuration
Data mining model for the data retrieval from central server configurationData mining model for the data retrieval from central server configuration
Data mining model for the data retrieval from central server configuration
 
Vedic Calculator
Vedic CalculatorVedic Calculator
Vedic Calculator
 
5.7 Parallel Processing - Reactive Programming.pdf.pptx
5.7 Parallel Processing - Reactive Programming.pdf.pptx5.7 Parallel Processing - Reactive Programming.pdf.pptx
5.7 Parallel Processing - Reactive Programming.pdf.pptx
 
Mapreduce2008 cacm
Mapreduce2008 cacmMapreduce2008 cacm
Mapreduce2008 cacm
 
Cisco project ideas
Cisco   project ideasCisco   project ideas
Cisco project ideas
 
FPGA IMPLEMENTATION OF APPROXIMATE SOFTMAX FUNCTION FOR EFFICIENT CNN INFERENCE
FPGA IMPLEMENTATION OF APPROXIMATE SOFTMAX FUNCTION FOR EFFICIENT CNN INFERENCEFPGA IMPLEMENTATION OF APPROXIMATE SOFTMAX FUNCTION FOR EFFICIENT CNN INFERENCE
FPGA IMPLEMENTATION OF APPROXIMATE SOFTMAX FUNCTION FOR EFFICIENT CNN INFERENCE
 
NodeJS guide for beginners
NodeJS guide for beginnersNodeJS guide for beginners
NodeJS guide for beginners
 
Automatically partitioning packet processing applications for pipelined archi...
Automatically partitioning packet processing applications for pipelined archi...Automatically partitioning packet processing applications for pipelined archi...
Automatically partitioning packet processing applications for pipelined archi...
 
Disadvantages Of Robotium
Disadvantages Of RobotiumDisadvantages Of Robotium
Disadvantages Of Robotium
 
Computers in management
Computers in managementComputers in management
Computers in management
 
Cloud C
Cloud CCloud C
Cloud C
 
A NETWORK-BASED DAC OPTIMIZATION PROTOTYPE SOFTWARE 2 (1).pdf
A NETWORK-BASED DAC OPTIMIZATION PROTOTYPE SOFTWARE 2 (1).pdfA NETWORK-BASED DAC OPTIMIZATION PROTOTYPE SOFTWARE 2 (1).pdf
A NETWORK-BASED DAC OPTIMIZATION PROTOTYPE SOFTWARE 2 (1).pdf
 
Dsp lab manual 15 11-2016
Dsp lab manual 15 11-2016Dsp lab manual 15 11-2016
Dsp lab manual 15 11-2016
 

Recently uploaded

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 

Recently uploaded (20)

ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 

GCF