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Energy Efficient Priority-Based Task Scheduling for Computation Offloading in Fog Computing [article]

Jiaying Yin, Jing Fu, Jingjin Wu, Shiming Zheng
2022 arXiv   pre-print
Fog computing offers a flexible solution for computational offloading for Internet of Things (IoT) services at the edge of wireless networks.  ...  It serves as a complement to traditional cloud computing, which is not cost-efficient for most offloaded tasks in IoT applications involving small-to-medium levels of computing tasks.  ...  You, C., Huang, K., Chae, H., Kim, B.H.: Energy-efficient resource allocation for mobile-edge computation offloading.  ... 
arXiv:2201.06031v1 fatcat:knaxeccskzdfpojeecvr5uqlaq

Addressing the Challenges in Federating Edge Resources [article]

Cihat Baktir, Cagatay Sonmez, Cem Ersoy, Atay Ozgovde, Blesson Varghese
2018 arXiv   pre-print
data center computation.  ...  Additionally, we consider resource and modeling challenges that will need to be addressed for a federated Edge.  ...  The Modeling Challenge Edge Computing has paved way for a variety of technologies, such as Mobile Cloud Computing (MCC), Cloudlets, Fog computing and Multi-access Edge Computing (MEC) [5] .  ... 
arXiv:1803.05255v1 fatcat:b7aaxgrsifft5psxrfah2mrx2u

Table of Contents

2021 IEEE Transactions on Vehicular Technology  
Leung 8019 Resource Allocation and Computation Offloading for Multi-Access Edge Computing With Fronthaul and Backhaul Constraints. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Park 8092 Joint Task Partitioning and User Association for Latency Minimization in Mobile Edge Computing Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tvt.2021.3100836 fatcat:hpsmhmav2zdh5ggtbe5r4xjoc4

End-to-end energy models for Edge Cloud-based IoT platforms: Application to data stream analysis in IoT

Yunbo Li, Anne-Cécile Orgerie, Ivan Rodero, Betsegaw Lemma Amersho, Manish Parashar, Jean-Marc Menaud
2018 Future generations computer systems  
Such an edge Cloud architecture needs to deal with flexibility, scalability and data privacy issues to allow for efficient computational offloading services [8] .  ...  Edge nodes could help to alleviate slightly this energy consumption as they could offload data centers from their overwhelming power load [9] and reduce data movement and network traffic.  ...  We thank Yifu Tang for numerous fruitful discussions.  ... 
doi:10.1016/j.future.2017.12.048 fatcat:m7b5pakvnbc2vekoyiqaixqvk4

Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges

Saeid Abolfazli, Zohreh Sanaei, Ejaz Ahmed, Abdullah Gani, Rajkumar Buyya
2014 IEEE Communications Surveys and Tutorials  
Augmented mobile devices envision to perform extensive computations and to store big data beyond their intrinsic capabilities with least footprint and vulnerability.  ...  Researchers utilize varied cloud-based computing resources (e.g., distant clouds and nearby mobile nodes) to meet various computing requirements of mobile users.  ...  Augmentation approaches should be agile in dynamic mobile environment and instantaneously reflect to any change.  ... 
doi:10.1109/surv.2013.070813.00285 fatcat:77v7cyzdwrbonll45npxl4loxa

Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges

Saeid Abolfazli, Zohreh Sanaei, Ejaz Ahmad, Abdullah Gani, Rajkumar Buyya
2014 Figshare  
Augmented mobile devices envision to perform extensive computations and to store big data beyond their intrinsic capabilities with least footprint and vulnerability.  ...  Researchers utilize varied cloud-based computing resources (e.g., distant clouds and nearby mobile nodes) to meet various computing requirements of mobile users.  ...  Also, service provisioning, controlling, balancing, and billing are often matched with the requirements of desktop clients rather than mobile users [128] .  ... 
doi:10.6084/m9.figshare.1038330 fatcat:y3ybv3eujjbu3o45pbh3tgid4u

Concepts and Contributions of Edge Computing in Internet of Things (IoT): A Survey

, ,
2020 International Journal of Computer Networks And Applications  
Mobile devices that are interconnected with cloud servers are placed at a certain distance, trying to obtain better services that increase the load on Radio Access Network (RANs), which results in very  ...  Due to the enormous growth of Internet of Things (IoT) devices with its recent applications, the need for real-time computation has readily driven edge computing.  ...  Thus, with the edge node, the user can receive better Quality of Service (QoS) by decreasing the load congestion on the data centre. Table 1 Benefits of Edge Computing Vs.  ... 
doi:10.22247/ijcna/2020/203914 fatcat:xlugkoe5gjb5zlliddl3cpeb7u

Characterizing application scheduling on edge, fog, and cloud computing resources

Prateeksha Varshney, Yogesh Simmhan
2019 Software, Practice & Experience  
In this article, we present a taxonomy of concepts essential for specifying and solving the problem of scheduling applications on edge, for and cloud computing resources.  ...  Scheduling applications on clouds has been an active area of research, with workflow and dataflow models serving as a flexible abstraction to specify applications for execution.  ...  This is more so in the context of mobile cloud computing that is concerned with offloading computations from mobile edge devices like smart phones to cloud to save battery, speedup computations and for  ... 
doi:10.1002/spe.2699 fatcat:ywvul6s2j5hgthectdnbh7mnbq

Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions

Prateeksha Varshney, Yogesh Simmhan
2017 2017 IEEE 1st International Conference on Fog and Edge Computing (ICFEC)  
Cloud computing platforms are often tasked with handling these large volumes and fast streams of data from the edge.  ...  Recently, Fog computing has emerged as a concept for low-latency and resource-rich processing of these observation streams, to complement Edge and Cloud computing.  ...  [8] discuss the role of Fog computing for IoT as Edge computing alone is inadequate to deal with multiple IoT applications.  ... 
doi:10.1109/icfec.2017.20 dblp:conf/icfec/VarshneyS17 fatcat:3x7qsfnxhbd7vajvnsdalgfzry

DDS-enabled Cloud management support for fast task offloading

Antonio Corradi, Luca Foschini, Javier Povedano-Molina, Juan M. Lopez-Soler
2012 2012 IEEE Symposium on Computers and Communications (ISCC)  
Cloud computing has become an essential technology not only for web provisioning, but also in mobile scenarios.  ...  However, available Cloud solutions are mostly focused on scenarios with slowly changing provisioning, which are unable to support and promptly react to short-term provisioning requests.  ...  of complex applications into edge-devices with limited resources [1, 2] .  ... 
doi:10.1109/iscc.2012.6249270 dblp:conf/iscc/CorradiFPL12 fatcat:dsvt5rhsfvc67gbjoxe5jizjsu

Efficient Device-to-Device (D2D) Offloading Mechanism in LTE Networks [article]

Bighnaraj Panigrahi, Rashmi Ramamohan, Hemant Kumar Rath, Anantha Simha
2016 arXiv   pre-print
In this paper, we have introduced a novel commercial D2D offloading scheme for users who may be at cell edges, inside isolated environments like basement or large buildings, etc.  ...  With the increase in mobile traffic and the bandwidth demand, Device-to-Device (D2D) communication underlaying Long Term Evolution (LTE) networks has gained tremendous interest by the researchers, cellular  ...  For example, x ie = 0 indicates that there is no direct path from node i to eNB and x ij = 0 indicates that node j can not be an offloader for U E i because of unavailability, mobility, etc., of the offloader  ... 
arXiv:1612.02926v1 fatcat:i4iiaobqrbclzj5w53ai5ytr6y

Mobile Cloud Computing Research – Issues, Challenges and Needs

Setti Karthik, Advin Manhar
2020 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
With the rapid advance of mobile computing technology and wireless networking, there is a significant increase of mobile subscriptions.  ...  This drives a strong demand for mobile cloud applications and services for mobile device users. This brings out a great business and research opportunity in mobile cloud computing (MCC).  ...  to the edge of networks"  ... 
doi:10.32628/cseit206644 fatcat:zazvac6minacfgf5byrf73ghpq

EmuEdge: A Hybrid Emulator for Reproducible and Realistic Edge Computing Experiments

Yukun Zeng, Mengyuan Chao, Radu Stoleru
2019 2019 IEEE International Conference on Fog Computing (ICFC)  
However, to the best of our knowledge, a testing platform for edge computing that provides both networking and computing realism with low costs is still missing.  ...  In this thesis, we propose EmuEdge, a hybrid emulator based on Xen and Linux's netns for full-stack edge computing emulation.  ...  Instead of offloading to the cloud, Mobile Storm is designed for mobile devices to offload computational tasks to nearby computing resources, thereby greatly reducing backbone network traffics and improving  ... 
doi:10.1109/icfc.2019.00027 dblp:conf/icfc/ZengCS19 fatcat:qlq7sujavbabbhetlbxyax7way

Cloud, Edge, and Mobile Computing for Smart Cities [chapter]

Qian Liu, Juan Gu, Jingchao Yang, Yun Li, Dexuan Sha, Mengchao Xu, Ishan Shams, Manzhu Yu, Chaowei Yang
2021 The Urban Book Series  
Mobile computing brings portability and social interactivity for citizens to report instantaneous information for better knowledge integration.  ...  This chapter uses different computing capabilities, such as cloud computing, mobile computing, and edge computing, to support smart cities using the urban heat island of the greater Washington DC area  ...  Cloud, Edge, and Mobile Computing for Smart Cities Cloud, Edge, and Mobile Computing for Smart Cities Cloud, Edge, and Mobile Computing for Smart Cities Cloud, Edge, and Mobile Computing  ... 
doi:10.1007/978-981-15-8983-6_41 fatcat:thaaxsdzzfgfzjmjos7zbsjrqq

FogGrid: Leveraging Fog Computing for Enhanced Smart Grid Network [article]

Rabindra K. Barik, Satish Kumar Gudey, Gujji Giridhar Reddy, Meenakshi Pant, Harishchandra Dubey, Kunal Mankodiya, Vinay Kumar
2017 arXiv   pre-print
Fog Computing acts as an additional layer of computational and/or communication nodes that offload the Cloud backend from multi-tasking while dealing with large amounts of data.  ...  Both Fog computing and Cloud computing hierarchical architecture is compared with respect to efficient utilization of resources.  ...  Hence a smart meter communication helps in charging the vehicle with the owner's ID and the energy consumption is cast back in the owner's bill.  ... 
arXiv:1712.09645v1 fatcat:oaeqby5jzzawdi4b4gos4q5pda
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