task scheduling in grid computing

37
Task Scheduling in Grid Computing Team Coda

Upload: ramandeep-kaur

Post on 17-Aug-2015

203 views

Category:

Engineering


4 download

TRANSCRIPT

Task Scheduling in Grid Computing

Team Coda

Hardik Navin Nagda

[email protected]

Divin Jagdish Visariya

[email protected]

Team Members

Agenda

• Task Scheduling in Grid Computing • Min-Min Algorithm and Max-Min Algorithm • Hypothesis • Our Simulation Idea

• Design of our code

• Code structure explanation

• Demo

Task Scheduling in Grid Computing

• Grid is globally distributed and consists of heterogeneous, loosely coupled data and resources

• Grid changes the resources quite frequently and the systems are heterogeneous in nature

• Task scheduling challenge is to find the best or optimal resources in order to minimize the tasks computation time

Min-Min Algorithm

• Static Task Scheduling Algorithm • Tasks are scheduled based on minimum completion time

• Example : Expected Completion Time

M1 M2 M3

Task 1 3 6 7

Task 2 4 12 8

Task 3 6 20 18

Min-Min Algorithm

M1 M2 M3

Task 1 3 6 7

Task 2 4 12 8

Task 3 6 20 18

Step 1 :

Step 2 :

Min-Min Algorithm

M1 M2 M3

Task 2 4 + 3 12 8

Task 3 6 + 3 20 18

Min-Min Algorithm

M1 M2 M3

Task 3 9 + 4 20 18

Step 3 :

Min-Min algorithm

Image Taken from Paper : An Improved Scheduling Algorithm for Grid Tasks

Image Taken from Paper : An Improved Scheduling Algorithm for Grid Tasks

Max-Min Algorithm

• Static Task Scheduling Algorithm • Two Phases

• First Phase : Set of all minimum expected completion time are found for every task and resource

• Second phase : Task with the maximum value within the above set is selected for execution

• Example : Expected Completion Time

M1 M2 M3

Task 1 3 6 7

Task 2 4 12 8

Task 3 6 20 18

Max-Min Algorithm

M1 M2 M3

Task 1 3 6 7

Task 2 4 12 8

Task 3 6 20 18

Step 1 :

Max-Min Algorithm

M1 M2 M3

Task 1 3 + 6 6 7

Task 2 4 + 6 12 8

Step 2 :

Max-Min Algorithm

M1 M2 M3

Task 1 9 6 7

Task 2 10 12 8

Step 3 :

Max-Min Algorithm

M1 M2 M3

Task 1 9 6 7 + 8

Step 4 :

Max-Min Algorithm

Image Taken from Paper : An Improved Scheduling Algorithm for Grid Tasks

Min-Min v/s Max-Min Algorithm

• If there are many lighter tasks, Max-Min algorithm is better than Min-Min in terms of makespan and resource utilization

• If there are many heavier tasks, Min-Min algorithm is better than Max-Min

Hypothesis

• Grid scheduling using Min-Min algorithm gives lower makespan as compared to the Max-Min algorithm if there are more heavy computational jobs

• Likewise, Max-Min Algorithm gives lower makespan as compared to Min-Min Algorithm if there are more lighter jobs

• Makespan means the entire completion time for the fix number of jobs

Simulation Idea

Design of Min-Min Algorithm • T = {T1, T2 … Tm} : The Set of Tasks

• R = {R1, R2 … Rn} : The Set of Resources

• Expected Execution Time Table

• The m x n matrix which contains the time taken by the task to complete execution for given resource

• Expected Completion Time Table • The m x n matrix which contains the time taken by the

task to complete execution for given resource + waiting time of the task for obtaining the desired resource

• Running Time for Resources • The total time taken by resource to execute all task

assigned

Design of Min-Min Algorithm

• Simulate Task • Task id is generated randomly and its added to the set • Arrival time of the task is recorded

• Scheduler Algorithm is invoked accordingly • Removes the task from the set after it is served

• Min-Min Scheduler

• Computes the Expected Execution Time : • Expected Execution Time = Size of task (MI) / CPU processing

power (MIPS)

• Computes the Expected Completion Time : • Expected Completion Time = Expected Execution Time

+ Resource Running Time - Task Arrival Time

Design of Min-Min Algorithm (Cont..) • Min-Min Scheduler Continued

• Contacts Resource Monitor to check if any resource is idle • If yes, then finds the task with the minimum Expected

Completion Time and also the resource for that task

• Assigns the task to the resource and change the resource status to “Running”

• Adds the Execution Time of the resource to the resource Waiting Time and updates resource Running Time

• Also updates Expected Completion Time based on the resource Waiting Time

• After serving the task the resource again follows the same procedure until all task are served

Design of Min-Min Algorithm (Cont..)

• Resource Monitor • Maintains the status of all the resources after every

task is being served or resource being idle

T1

Set of Tasks

Resources

T1

Set of Tasks

Resources

T2

T1

Set of Tasks

Resources

T1

T2

Set of Tasks

Resources

T1

T2

T3

Set of Tasks

Resources

T1

T2

T3 T4

Set of Tasks

Resources

T1

T2

T3 T4 T5

Set of Tasks

Resources

T4

T2

T5 T3

Set of Tasks

Resources

Task

Resource

Simulate

Demo

MakeSpan Calculation

Progress made so far

• Prepared the design of the system for simulation

• Written the code to simulate the Min-Min algorithm • To be Done:

• Implement Max-Min algorithm

• Perform experiments for different cases

• Evaluate the makespan calculation and check the results

• Prove or Disprove our hypothesis

Questions ?

THANK YOU