با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
دسته بندی:
مدیریت انرژی - Energy Management
سال انتشار:
2020
عنوان انگلیسی مقاله:
Energy-cognizant scheduling for preference-oriented fixed-priority real-time tasks
ترجمه فارسی عنوان مقاله:
برنامه ریزی دانش شناخت انرژی برای وظایف در زمان واقعی با اولویت ثابت تنظیم گرا
منبع:
Sciencedirect - Elsevier - Journal of Systems Architecture, 108 (2020) 101743. doi:10.1016/j.sysarc.2020.101743
نویسنده:
Savina Bansal a , Rakesh Kumar Bansal a , Kiran Arora b , c , ∗
چکیده انگلیسی:
Energy management is one of the crucial design issues when executing real-time applications with stringent tim- ing requirements. Dynamic slowdown of processor voltage if accompanied with processor shutdown method, helps in better saving energy. Traditionally, energy management has been applied to real-time scheduling algo- rithms that prioritize tasks based on timing parameters only, however, recently applications having tasks with different execution-preferences on the same computing unit found significant importance in various areas. In this paper, dynamic voltage scaling (DVS) and dynamic power management (DPM) techniques are used for energy management while scheduling preference-oriented fixed-priority periodic real-time tasks. Preference-oriented energy-aware rate-monotonic scheduling (PER) and preference-oriented extended energy-aware rate-monotonic scheduling (PEER) algorithms are proposed that maximize energy savings while fulfilling preference-value of tasks. Extensive simulations show that PER and PEER outperforms in terms of energy savings when compared to several related studies.
Keywords: Dynamic voltage | scaling Energy management | Fixed-priority | Preference-oriented | Rate-monotonic | Real-time tasks | Task scheduling
قیمت: رایگان
توضیحات اضافی:
تعداد نظرات : 0