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GLOBALSOFT TECHNOLOGIES 
IEEE PROJECTS & SOFTWARE DEVELOPMENTS 
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE 
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS 
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmai l.com 
Harmonic-Aware Multi-Core Scheduling for Fixed-Priority 
Real-Time Systems 
Abstract 
This paper presents a new semi partitioned approach to schedule sporadic tasks on multicore platforms 
based on the Rate Monotonic Scheduling policy. To improve the schedulability, our approach exploits 
the fact that the utilization bound of a task set increases as task periods become closer to harmonic on 
single processor platforms. The challenge for our approach, however, is how to take advantage of this 
fact to assign and split appropriate tasks on different processors in the semipartitioned approach, and 
how to guarantee the schedulability of real-time tasks. We formally prove that our scheduling approach 
can successfully schedule any task set with a system utilization bounded by Liu&Layland's bound for N 
tasks, that is, N(21/N - 1). Our extensive experimental results demonstrate that the proposed algorithm 
can significantly improve the scheduling performance compared with the previous work. 
Existing system 
This paper presents a new semi partitioned approach to schedule sporadic tasks on multicore platforms 
based on the Rate Monotonic Scheduling policy. To improve the schedulability, our approach exploits 
the fact that the utilization bound of a task set increases as task periods become closer to harmonic on 
single processor platforms. The challenge for our approach, however, is how to take advantage of this 
fact to assign and split appropriate tasks on different processors in the semipartitioned approach, and 
how to guarantee the schedulability of real-time tasks
Proposed system 
We formally prove that our scheduling approach can successfully schedule any task set with a system 
utilization bounded by Liu&Layland's bound for N tasks, that is, N(21/N - 1). Our extensive experimental 
results demonstrate that the proposed algorithm can significantly improve the scheduling performance 
compared with the previous work. 
SYSTEM CONFIGURATION:- 
HARDWARE CONFIGURATION:- 
 Processor - Pentium –IV 
 Speed - 1.1 Ghz 
 RAM - 256 MB(min) 
 Hard Disk - 20 GB 
 Key Board - Standard Windows Keyboard 
 Mouse - Two or Three Button Mouse 
 Monitor - SVGA 
SOFTWARE CONFIGURATION:- 
 Operating System : Windows XP 
 Programming Language : JAVA 
 Java Version : JDK 1.6 & above.

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2014 IEEE DOTNET PARALLEL DISTRIBUTED PROJECT Harmonic aware multi-core scheduling for fixed-priority real-time systems

  • 1. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmai l.com Harmonic-Aware Multi-Core Scheduling for Fixed-Priority Real-Time Systems Abstract This paper presents a new semi partitioned approach to schedule sporadic tasks on multicore platforms based on the Rate Monotonic Scheduling policy. To improve the schedulability, our approach exploits the fact that the utilization bound of a task set increases as task periods become closer to harmonic on single processor platforms. The challenge for our approach, however, is how to take advantage of this fact to assign and split appropriate tasks on different processors in the semipartitioned approach, and how to guarantee the schedulability of real-time tasks. We formally prove that our scheduling approach can successfully schedule any task set with a system utilization bounded by Liu&Layland's bound for N tasks, that is, N(21/N - 1). Our extensive experimental results demonstrate that the proposed algorithm can significantly improve the scheduling performance compared with the previous work. Existing system This paper presents a new semi partitioned approach to schedule sporadic tasks on multicore platforms based on the Rate Monotonic Scheduling policy. To improve the schedulability, our approach exploits the fact that the utilization bound of a task set increases as task periods become closer to harmonic on single processor platforms. The challenge for our approach, however, is how to take advantage of this fact to assign and split appropriate tasks on different processors in the semipartitioned approach, and how to guarantee the schedulability of real-time tasks
  • 2. Proposed system We formally prove that our scheduling approach can successfully schedule any task set with a system utilization bounded by Liu&Layland's bound for N tasks, that is, N(21/N - 1). Our extensive experimental results demonstrate that the proposed algorithm can significantly improve the scheduling performance compared with the previous work. SYSTEM CONFIGURATION:- HARDWARE CONFIGURATION:-  Processor - Pentium –IV  Speed - 1.1 Ghz  RAM - 256 MB(min)  Hard Disk - 20 GB  Key Board - Standard Windows Keyboard  Mouse - Two or Three Button Mouse  Monitor - SVGA SOFTWARE CONFIGURATION:-  Operating System : Windows XP  Programming Language : JAVA  Java Version : JDK 1.6 & above.