Energy Aware Management for Tasks Scheduling Using Dynamic Voltage and Frequency Scaling Techniques in Cloud Data Centers - A Case Study in the Ports and Maritime Organization | ||
| Journal of Engineering Management and Soft Computing | ||
| مقاله 10، دوره 9، شماره 1 - شماره پیاپی 16، بهمن 2023، صفحه 140-161 اصل مقاله (2.12 M) | ||
| نوع مقاله: Original Article | ||
| نویسندگان | ||
| Hamed Ghorbani* 1؛ Behnam Barzegar2؛ Mousa Nazari3 | ||
| 1University College of Rouzbahan, Sari, Iran. Email: hamed.ghorbani67@gmail.com | ||
| 2Faculty of Computer Engineering, Islamic Azad University, Babol Branch, Babol, Iran. Email: barzegar@baboliau.ac.ir | ||
| 3Faculty of Computer Engineering, University College of Rouzbahan, Sari, Iran. Email: nazari.mousa@gmail.com | ||
| چکیده | ||
| The issue of energy management is considered as one of the main concerns in cloud computing systems to support the rapid growth of data centers and computing Becomes. Dynamic voltage and frequency scaling strategies focus on reducing energy consumption as well as optimizing efficiency parameters. In this paper, we present an energy-conscious and reliable three-step scheduling algorithm called ERADVFS using the DVFS technique on a cloud center processor with dynamic voltage and frequency scaling capability. The goal of this algorithm is to consume the least amount of energy while ensuring reliability and limited task scheduling. In the first step, we determine the worst execution time of each task in each virtual machine of that type on each frequency level. Then in the next step, we divide the deadline for doing the work between the tasks. Finally, by assigning the DVFS technique, we assign tasks to the best virtual machine. The main idea in selecting a virtual machine is to take advantage of the extended amount of runtime to reduce the frequency of the virtual machine. | ||
| کلیدواژهها | ||
| Green Cloud Computing؛ Task Scheduling؛ Ports and Maritime Organization Data Center؛ Energy Consumption | ||
| عنوان مقاله [English] | ||
| -مدیـریت آگاه به انرژی جهت زمان بـندی وظایف بـا استفاده از تکنیک مقیاس بندی پویای ولتاژ و فرکانس در مراکز داده ابری – مطالعه موردی سازمان بنادر و دریانوردی | ||
| نویسندگان [English] | ||
| حامد قربانی1؛ بهنام برزگر2؛ موسی نظری3 | ||
| 1کارشناسی ارشد فناوری اطلاعات، دانشکده فنی و مهندسی، موسسه آموزش عالی روزبهان، ساری، ایران. رایانامه: hamed.ghorbani67@gmail.com | ||
| 2استادیار گروه مهندسی کامپیوتر، دانشکده فنی و مهندسی، دانشگاه آزاد اسلامی واحد بابل، بابل، ایران. رایانامه: barzegar@baboliau.ac.ir | ||
| 3استادیار گروه مهندسی کامپیوتر، دانشکده فنی و مهندسی، موسسه آموزش عالی روزبهان، ساری، ایران. رایانامه: nazari.mousa@gmail.com | ||
| چکیده [English] | ||
| مسئله مدیریت انرژی، به عنوان یکی از نگرانی های اصلی در سیستم رایانش ابری برای پشتیبانی از رشد سریع مراکز داده و محاسباتی محسوب می شود. استراتژی مقیاس بندی پویای ولتاژ و فرکانس بر روی کاهش مصرف انرژی و نیز بهینه سازی پارامتر های کارایی متمرکز شده اند. در این مقاله الگوریتم زمان بندی سه مرحله ای آگاه به انرژی و قابلیت اطمینان به نام ERADVFS با استفاده ازتکنیک DVFS بر روی پردازنده مراکز ابری با قابلیت مقیاس بندی پویای ولتاژ و فرکانس ارائه می دهیم. هدف این الگوریتم مصرف کمترین میزان انرژی و در عین حال تضمین پایایی و محدودیت زمانبندی وظایف است. در مرحله اول بدترین زمان اجرای هر وظیفه در هر ماشین مجازی از آن نوع روی هر سطح فرکانس را تعیین می کنیم. سپس در مرحله بعدی مهلت انجام کار بین وظایف را تقسیم می کنیم. در مرحله آخر توسط تکنیک DVFS، وظایف را به بهترین ماشین مجازی اختصاص می دهیم. ایدۀ اصلی سود بردن از مقدار طولانیشدۀ مدت زمان اجرا، برای کاهش فرکانس ماشین مجازی است. | ||
| کلیدواژهها [English] | ||
| رایانش ابری سبز, زمانبندی وظایف, مرکز داده سازمان بنادر و دریانوردی, مصرف انرژی | ||
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