| مشخصات مقاله | |
| ترجمه عنوان مقاله | پیشرفت های اخیر در سیستم تخصیص وظیفه ماشین مجازی (VM) برای رایانش ابری: مروری از سال 2015 تا 2021 |
| عنوان انگلیسی مقاله | Recent advancement in VM task allocation system for cloud computing: review from 2015 to2021 |
| انتشار | مقاله سال 2021 |
| تعداد صفحات مقاله انگلیسی | 45 صفحه |
| هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
| پایگاه داده | نشریه اسپرینگر |
| نوع نگارش مقاله |
مقاله پژوهشی (Research article) |
| مقاله بیس | این مقاله بیس نمیباشد |
| نمایه (index) | ISC – Master Journal List – Scopus – JCR |
| نوع مقاله | ISI |
| فرمت مقاله انگلیسی | |
| ایمپکت فاکتور(IF) |
8.139 در سال 2020 |
| شاخص H_index | 78 در سال 2020 |
| شاخص SJR | 1.195 در سال 2020 |
| شناسه ISSN | 1573-7462 |
| شاخص Quartile (چارک) | Q1 در سال 2020 |
| فرضیه | ندارد |
| مدل مفهومی | ندارد |
| پرسشنامه | ندارد |
| متغیر | ندارد |
| رفرنس | ندارد |
| رشته های مرتبط | مهندسی کامپیوتر |
| گرایش های مرتبط | هوش مصنوعی، رایانش ابری |
| نوع ارائه مقاله |
ژورنال |
| مجله / کنفرانس | بررسی هوش مصنوعی – Artifcial Intelligence Review |
| دانشگاه | Ibn Tofail University, Kénitra, Morocco |
| کلمات کلیدی | رایانش ابری، ماشین مجازی (VM)، رویکرد متعادل سازی بار، توزیع داده ها، مجازی سازی |
| کلمات کلیدی انگلیسی | Cloud computing · VM · Load balancing approach · Data distribution · Virtualization |
| شناسه دیجیتال – doi |
https://doi.org/10.1007/s10462-021-10071-7 |
| کد محصول | E16026 |
| وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
| دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
| سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
| فهرست مطالب مقاله: |
|
Abstract Introduction Preliminary Related work Methodology Why VM need load balancing Load‑balancing policies Simulation environment Result and discussion Summary References |
| بخشی از متن مقاله: |
| Abstract Cloud computing is new technology that has considerably changed human life at diferent aspect over the last decade. Especially after the COVID-19 pandemic, almost all life activity shifted into cloud base. Cloud computing is a utility where diferent hardware and software resources are accessed on pay per user ground base. Most of these resources are available in virtualized form and virtual machine (VM) is one of the main elements of visualization.VM used in data center for distribution of resource and application according to benefactor demand. Cloud data center faces diferent issue in respect of performance and efciency for improvement of these issues diferent approaches are used. Virtual machine play important role for improvement of data center performance therefore different approach are used for improvement of virtual machine efciency (i-e) load balancing of resource and task. For the improvement of this section diferent parameter of VM improve like makespan, quality of service, energy, data accuracy and network utilization. Improvement of diferent parameter in VM directly improve the performance of cloud computing. Therefore, we conducting this review paper that we can discuss about various improvements that took place in VM from 2015 to 20,201. This review paper also contain information about various parameter of cloud computing and fnal section of paper present the role of machine learning algorithm in VM as well load balancing approach along with the future direction of VM in cloud data center. Introduction Cloud computing is new technology that has extensively transformed human life from the last decade by providing diferent services and resource with the help of internet using virtualization system. Cloud resources are variable to every user by rent and release with specifc rule and regulation with the help of internet. Cloud computing is emerging technology used for storing and accessing resource and application over the web based internet (Buyya et al. 2018). Cloud data center consists of physical and virtual infrastructure resources which include server, network system and diferent resources. Cloud data center is so important that diferent user demands can access data with the help of these data center in accurate and fast time. It contains a large amount of data and information which works under certain rules and regulations (Ouhame et al. 2020; Ullah et al. 2020). |