0% Complete
صفحه اصلی
/
بیست و نهمین کنفرانس مهندسی برق ایران
VM Placement in Accelerator-Equipped Data Centers Using Variable-Length Modified Genetic Algorithm
نویسندگان :
Aryo Yarahmadi
1
Mahmoud Momtazpour
2
1- دانشگاه صنعتی امیرکبیر
2- دانشگاه صنعتی امیرکبیر
کلمات کلیدی :
Cloud computing, Genetic algorithm, Heterogeneous, VM placement
چکیده :
with the increasing growth in computing demand and the complexity of applications, cloud computing has become very popular in recent years. To cope with the high demand for computing resources, data center providers have introduced various types of hardware accelerators such as GPUs and FPGAs in their environments. Accelerator virtualization is also introduced to overcome the underutilization of GPUs and FPGAs in such environments. However, resource provisioning can be quite challenging in large data centers with heterogeneous setups due to the massive solution space of the resulting VM placement problem. In scenarios where the number of VM requests exceeds the number of available hosts, finding an energy-efficient solution with maximum VM acceptance rate can get difficult for simple heuristics or even metaheuristic methods under tight decision time constraints. The aim of this paper is to tackle the inefficiency of genetic algorithm (GA) in producing good partial schedules in limited decision time. To this end, we introduce a GA-based VM placement method called VLMGA (variable-length modified genetic algorithm). Starting from a limited solution space, VLMGA iteratively tries to find a solution in each sub-space and enlarge the search space until no feasible solution could be found within the specified time frame. Using the proposed technique, the quality of the obtained solution can be greatly improved. Evaluated under real-world workload scenarios, the proposed method achieved 16% improvement on the energy-delay product compared to well-known VM placement methods.
لیست مقالات
لیست مقالات بایگانی شده
Distributed Energy Management of Large-Scale Microgrids Using Predictive Control
Hamid Reza Babaei Ghazvini - Mahsa Ghavami - Mohammad Haeri
مدلسازی ترانسفورماتورهای کم تلفات در شرایط عملکرد غیرعادی و بررسی تأثیر آن ها بر تلفات فنی شبکه قدرت
محمدرضا موسوی خادمی - غلامرضا زارع پلکوئی - مرتضی موسوی خادمی
Digitizing Analog ECGs: A Deep Learning Pipeline for Converting Historical Records into High-Quality Digital Signals
Sahar Askari - Somayeh Afrasiabi
Application of Floquet theory in three-body problem: Periodic attitude motion
Ehsan Abbasali - Amirreza Kosari - Majid Bakhtiari
Family of Soft-Switched Single-Switch Switched-Resonator Converters with Low Component Count
Maryam Hajilou - Siamak Khalili - Hosein Farzanehfard
Wideband and Multi-band Frequency Selective Surfaces for Microwave Shielding
Mahmoodreza Marzban - Abbas Alighanbari
Chaos-Based Physical Layer Security in NOMA Systems
Alireza Mard shoorijeh - Mahmoud Ahmadian Attari
طراحی بهینه چند هدفی کنترل کننده مدلغزشی مرتبه کسری برای سیستم کوادروتور
ابوالفضل انصاریان - جواد عسکری - مرضیه کمالی - محمدجواد محمودآبادی
Autoencoders for Input Reduction in Interval Type-2 Hyperbolic Fuzzy System Identification and Control: Experimental Results
Behnaz Mohammadi - Nazanin Ildarabadi - Mohammad-R Akbarzadeh-T
Wind-Robust Sea-Ice Discrimination from Sentinel-1 Texture Features
Parsa Shamsaddini - Ahmad Keshavarz - Stefano Zecchetto
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.4