مشاهده مشخصات مقاله
Hard Real-Time Multiobjective Scheduling in Heterogeneous Systems Using Genetic Algorithms
|
Authors |
-
Mohammad Reza Miryani
-
Mahmoud Naghibzadeh
|
|
Conference |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
|
Abstract |
Optimal tasks allocation is one of the most
important problems in multiprocessing. Optimal
assignment of tasks to a multiprocessor is an NPhard
problem in general cases, and precedence task
graph makes it more complex. Many factors affect
optimal tasks allocation. One of them is cache reload
time in multiprocessor systems. These problems exist
in real-time systems, too. Due to high sensitivity of
‘time’ in real-time systems, scheduling with respect
to time constraints becomes very important. This
paper proposes a suboptimal scheduler for hard realtime
heterogeneous multiprocessor systems
considering time constraints and cache reload time
simultaneously, using multiobjective genetic
algorithm. In addition, it tries to propose a
generalized method for real-time multiobjective
scheduling in multiprocessor systems using genetic
algorithms. |
|
قیمت |
-
برای اعضای سایت : 100,000 Rial
-
برای دانشجویان عضو انجمن : 20,000 Rial
-
برای اعضای عادی انجمن : 40,000 Rial
|
خرید مقاله
|
|
.gif){kind=icon}