MEACC: an energy-efficient framework for smart devices using cloud computing systems

Khalid ALSUBHI; Zuhaib IMTIAZ; Ayesha RAANA; M. Usman ASHRAF; Babur HAYAT

doi:10.1631/FITEE.1900198

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MEACC: an energy-efficient framework for smart devices using cloud computing systems

Regular Papers | Updated：2022-05-19

- MEACC: an energy-efficient framework for smart devices using cloud computing systems
- MEACC：一种基于云计算的智能设备节能架构
- Frontiers of Information Technology & Electronic Engineering Vol. 21, Issue 6, Pages: 917-930(2020)
- Affiliations：
  
  Department of Computer Science, King Abdulaziz University, Saudi Arabia
  Department of Computer Science, University of Sialkot, Sialkot 51310, Pakistan
  Department of Computer Science, University of Management and Technology, Sialkot 51310, Pakistan
  Department of Computer Science, University of Lahore, Gujrat 50700, Pakistan
- Author bio：
  
  M. Usman ASHRAF, E-mail: usman.ashraf@skt.umt.edu.pk
- Funds：
- DOI：10.1631/FITEE.1900198
  CLC： TP393
- Received：17 April 2019，
  
  Revised：2020-;5-20，
  
  Published：2020-06
- Accepted：
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Khalid ALSUBHI, Zuhaib IMTIAZ, Ayesha RAANA, et al. MEACC: an energy-efficient framework for smart devices using cloud computing systems[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(6): 917-930.
DOI：

Khalid ALSUBHI, Zuhaib IMTIAZ, Ayesha RAANA, et al. MEACC: an energy-efficient framework for smart devices using cloud computing systems[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(6): 917-930. DOI： 10.1631/FITEE.1900198.

摘要

随着智能设备存储容量快速增长，价格不断降低，以及算力、存储和通信技术的提升，APP应用程序得到快速发展，在全球网络基础设施上耗费的流量亦越来越多。智能设备引领着新兴技术发展，并在其快速演进中发挥至关重要的作用，已成为信息技术时代全天候的基本需求。智能设备运行着广泛的处理密集型APP，APP在智能设备上的大量使用导致其复杂性不断增加，资源大量消耗，包括智能设备的电池电量、处理器、RAM等，阻碍了智能设备正常运行。资源的限制极大增加了用户处理任务的难度，因此合理的资源利用和能效是智能设备的基本考虑因素。本文提出一种基于云计算的移动端能效增强模型(MEACC)，致力于解决智能设备中功耗大、资源利用率低等关键问题。MEACC能有效筛选出需在智能设备上运行或卸载至云端处理的APP。此外，可有效计算出移动端以及云端所需的运行开销，包括通信成本。在作出卸载决定前，MEACC持续监测资源情况。MEACC既能实现负载均衡又能降低功耗，是新兴移动计算领域十分具有前景的应用架构。

Abstract

Rapidly increasing capacities

decreasing costs

and improvements in computational power

storage

and communication technologies have led to the development of many applications that carry increasingly large amounts of traffic on the global networking infrastructure. Smart devices lead to emerging technologies and play a vital role in rapid evolution. Smart devices have become a primary 24/7 need in today's information technology world and include a wide range of supporting processing-intensive applications. Extensive use of many applications on smart devices results in increasing complexity of mobile software applications and consumption of resources at a massive level

including smart device battery power

processor

and RAM

and hinders their normal operation. Appropriate resource utilization and energy efficiency are fundamental considerations for smart devices because limited resources are sporadic and make it more difficult for users to complete their tasks. In this study we propose the model of mobile energy augmentation using cloud computing (MEACC)

a new framework to address the challenges of massive power consumption and inefficient resource utilization in smart devices. MEACC efficiently filters the applications to be executed on a smart device or offloaded to the cloud. Moreover

MEACC efficiently calculates the total execution cost on both the mobile and cloud sides including communication costs for any application to be offloaded. In addition

resources are monitored before making the decision to offload the application. MEACC is a promising model for load balancing and power consumption reduction in emerging mobile computing environments.

关键词

Keywords

references

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