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Enhancing Offloading Systems with Smart Decisions, Adaptive Monitoring, and Mobility Support

Paulo A. L. Rego, Fernando A. M. Trinta, Masum Z. Hasan, Jose N. de Souza
2019 Wireless Communications and Mobile Computing  
In this paper, we face three challenges for any offloading solution: the decision of when and where to perform offloading, the decision of which metrics must be monitored by the offloading system, and  ...  the support for user's mobility in a hybrid environment composed of cloudlets and public cloud instances.  ...  Acknowledgments This research is partially supported by the Brazilian National Council for Scientific and Technological Development  ... 
doi:10.1155/2019/1975312 fatcat:v33ndbgehbgs5h23iupehncbga

Machine Learning Technologies for Secure Vehicular Communication in Internet of Vehicles: Recent Advances and Applications

Elmustafa Sayed Ali, Mohammad Kamrul Hasan, Rosilah Hassan, Rashid A. Saeed, Mona Bakri Hassan, Shayla Islam, Nazmus Shaker Nafi, Savitri Bevinakoppa, Fawad Ahmed
2021 Security and Communication Networks  
This paper has conducted a critical review with analytical modeling for offloading mobile edge-computing decisions based on machine learning and Deep Reinforcement Learning (DRL) approaches for the Internet  ...  The proposed analytical model considers the Markov decision process (MDP) and ML in offloading the decision process of different task flows of the IoV network control cycle.  ...  Furthermore, the intelligent vehicles and IoV systems' applications face the decision-making challenges associated with collecting and distributing IoV big data to vehicles and interested users to enhance  ... 
doi:10.1155/2021/8868355 fatcat:z3bnxkaydvd5jl36dcgvta6xa4

Cloud-Enhanced Robotic System for Smart City Crowd Control

Akhlaqur Rahman, Jiong Jin, Antonio Cricenti, Ashfaqur Rahman, Marimuthu Palaniswami, Tie Luo
2016 Journal of Sensor and Actuator Networks  
However, offloading for robots is significantly complex due to their unique characteristics of mobility, skill-learning, data collection, and decision-making capabilities.  ...  Other action-based tasks may be data-intensive and may require further assistance from the cloud. The correct offloading decisions must be made by the robot to meet the system QoS requirement.  ...  Marimuthu Palaniswami and Tie Luo helped in drafting the paper with their expertise and experience. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/jsan5040020 fatcat:nlylbympuvej3jih7lborussd4

Analysis of Novel Approaches for Energy Efficient Computational Offloading Performances in Mobile Cloud Computing

M. S. Monisha
2017 International Journal for Research in Applied Science and Engineering Technology  
Due to this expectations ; In mobile devices Storage Capacity, Network Bandwidth and Processor Performances, are always upgraded day by day, therefore the smart phones and android mobiles they want better  ...  This massive applications is satisfied with the help of integration between cloud and mobile computing that is called as mobile cloud computing.  ...  Another method for enhancing offloading computationally intensive work using Mobile Augmentation Cloud Services (MACS) middleware which enables adaptive execution of android application execution from  ... 
doi:10.22214/ijraset.2017.2077 fatcat:3cvw4agnjncorikgxnubalkqdm

Towards Computation Offloading in Edge Computing: A Survey

Congfeng Jiang, Xiaolan Cheng, Honghao Gao, Xin Zhou, Jian Wan
2019 IEEE Access  
Moreover, resource scheduling approaches, gaming and tradeoffing among system performance and overheads for computation offloading decision making are also reviewed.  ...  Computation offloading plays a crucial role in edge computing in terms of network packets transmission and system responsiveness through dynamic task partitioning between cloud data centers and edge servers  ...  They also proposed an adaptive monitoring scheme that is unique in that the mobile cloud computing system monitors the metrics associated with the offload decision under this scenario only and uses this  ... 
doi:10.1109/access.2019.2938660 fatcat:qcpqojzxsnbsnmuez3x2ew4sqa

Mobile cloud computing for computation offloading: Issues and challenges

Khadija Akherfi, Micheal Gerndt, Hamid Harroud
2018 Applied Computing and Informatics  
workload to other rich systems with better performance and resources.  ...  Computation offloading tackles limitations of Smart Mobile Devices (SMDs) such as limited battery lifetime, limited processing capabilities, and limited storage capacity by offloading the execution and  ...  Acknowledgments This work has been funded by the Schlumberger Foundation Faculty for the Future and Technical University of Munich.  ... 
doi:10.1016/j.aci.2016.11.002 fatcat:uidib2xtprhkdejcctcotj4ky4

Guest Editorial: Introduction to Special Section on Smart Systems and Intelligent Networking Powered With Big Data Analytics

Ruidong Li, Ka-Cheong Leung, Michele Nogueira, Tarik Taleb, Jie Wu
2020 IEEE Transactions on Network Science and Engineering  
In "An Intelligent Dynamic Offloading from Cloud to Edge for Smart IoT Systems with Big Data," Wang et al. address the dynamic offloading challenges for smart IoT systems and propose a dynamic switching  ...  pricing models and present a birth-death process-based mechanism that monitors the workloads of the customer systems, and adaptively increases the resources in the event of a DDoS attack.  ... 
doi:10.1109/tnse.2020.3037986 fatcat:zwsjhgron5cdxkozbfoxypvk2i

A Review of Computation Offloading For Mobile Cloud Computing Based On Fuzzy Set Theory
English

Khalida Khalid, Elissa Nadia Madi
2020 International Journal of Engineering Trends and Technoloy  
Smart Mobile Devices (SMD) refers to one of the components present on the Internet of things (IoT), which can support many applications.  ...  Besides, this paper highlights several challenges and issues which occur while implementing a fuzzy-based decision method in offloading computation.  ...  INTRODUCTION Smart Mobile Devices (SMD) are referring to as devices that present on the Internet of things (IoT) component [1] , which supports many applications.  ... 
doi:10.14445/22315381/cati3p209 fatcat:q3mrgs7f2fh3haznphy7y3ev64

Guest Editorial: Special Issue on High-Confidence City IoT for Collaborative Smart City Services

Dongxiao Yu, Xiuzhen Cheng, Falko Dressler, Dariusz R. Kowalski, Weifeng Lv
2020 IEEE Internet of Things Journal  
A distributed deep-learning-driven task offloading (DDTO) algorithm was proposed to generate near-optimal offloading decisions over the mobile devices, the edge cloud server, and the central cloud server  ...  can self-adapt to accommodate new environments and self-evolve to support emerging applications.  ... 
doi:10.1109/jiot.2020.3021495 dblp:journals/iotj/YuCDKL20 fatcat:qhvogwzf7rfgnea3ftj4eivs4m

Authors Index

2021 2021 26th IEEE Asia-Pacific Conference on Communications (APCC)  
Defined Networking and Micropayment 115 Realizing Mobile Air Quality Monitoring System: Architectural Concept and Device Prototype Nguyen, Phi Le 115 Realizing Mobile Air Quality Monitoring System:  ...  Investigation , Norashidah 121 Cloud-Based IoT Air Quality Monitoring System Do, Phan Thuan 115 Realizing Mobile Air Quality Monitoring System: Architectural Concept and Device Prototype Doan, Van Sang  ...  Consensus Transmit Power Control with Optimal Search Technique for Full-duplex Wireless Multihop Networks  ... 
doi:10.1109/apcc49754.2021.9609806 fatcat:meigirzpmnacpihm4q6pzqjayu

Towards Maximum Resource Utilization and Optimal Task Execution for Gaming IoT Workflow in Mobile Cloud

Shakkeera L, Latha Tamilselvan
2017 International Journal of Intelligent Engineering and Systems  
To overcome these constraints, this paper introduces a GAming IoT workflow Fuzzifiers and Supporting MAximum Resource utilization and optimal Task execution on mobile cloud (GAF-SMART) paradigm offering  ...  The GAF-SMART employs Game-theory and Fuzzy logic assisted adaptive task scheduler to attain optimal execution for maintaining a workflow of an application.  ...  Systems, Vol. 10 smart mobility, smart energy and so on [5] .  ... 
doi:10.22266/ijies2017.0228.15 fatcat:sfs2rq6r5zastaoay6g3tmgkfm

Implementation analysis of IoT-based offloading frameworks on cloud/edge computing for sensor generated big data

Karan Bajaj, Bhisham Sharma, Raman Singh
2021 Complex & Intelligent Systems  
compared with the MAUI, AnyRun Computing (ARC), AutoScaler, Edge computing and Context-Sensitive Model for Offloading System (CoSMOS) frameworks.  ...  AbstractThe Internet of Things (IoT) applications and services are increasingly becoming a part of daily life; from smart homes to smart cities, industry, agriculture, it is penetrating practically in  ...  Acknowledgements This work has been carried out in wireless sensor network research facility in Computer Science and Engineering department of Chitkara University, India.  ... 
doi:10.1007/s40747-021-00434-6 fatcat:q7itavmy6vhjrouldk4qbuuecu

P2P Systems Meet Mobile Computing: A Community-Oriented Software Infrastructure for Mobile Social Applications

Cristian Borcea, Adriana Iamnitchi
2008 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops  
The current centralized mobile system and service architectures do not allow large-scale dynamic interactions between mobile devices, as required by these applications.  ...  The widespread adoption of powerful mobile devices creates an unprecedented potential for innovative mobile applications that can enhance users' social interactions.  ...  Acknowledgment This material is based upon work supported by the National Science Foundation under Grants No. CNS-0831753 and CNS-0831785.  ... 
doi:10.1109/sasow.2008.16 dblp:conf/saso/BorceaI08 fatcat:hv2j7ubnffb3tgyor73doexrki

Enhanced Mobile Computing Experience with Cloud Offloading [article]

Hao Qian
2017 arXiv   pre-print
Offloading compu-tation to multiple devices is an effective method to reduce energy consumption and enhance performance for mobile applications.  ...  Jade dynamically adjusts offloading strategy by adapting to workload variation, communication costs, and energy status in a distributed network of Android and non-Android devices.  ...  For mobile applications with heavy computation needs, computation offloading is an effective method to reduce energy consumption and enhance performance. 8 However, it requires additional efforts and  ... 
arXiv:1710.04352v1 fatcat:izyiaqtvdva2zmfhjuro3vzo5m

Security for Cyber-Physical Systems: Leveraging Cellular Networks and Fog Computing [article]

Filipo Sharevski, Sharief Oteafy
2018 arXiv   pre-print
The routine support for cellular authentication, encryption, and integrity protection is enhanced with the addition of a cellular cloud controller to take over the management of the radio and core security  ...  The reach and scale of Cyber Physical Systems (CPS) are expanding to many aspects of our everyday lives.  ...  However, the CIoT enable long range coverage with mobility support, so sensors like wearables for active people are also included for real-time mobile patient monitoring [8] .  ... 
arXiv:1806.11053v1 fatcat:iygu4gkfhjbdbiiu473l3r4gei
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