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Enhancing Offloading Systems with Smart Decisions, Adaptive Monitoring, and Mobility Support
2019
Wireless Communications and Mobile Computing
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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
2021
Security and Communication Networks
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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
2016
Journal of Sensor and Actuator Networks
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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
2017
International Journal for Research in Applied Science and Engineering Technology
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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
2019
IEEE Access
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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
2018
Applied Computing and Informatics
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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
2020
IEEE Transactions on Network Science and Engineering
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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
2020
International Journal of Engineering Trends and Technoloy
English
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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
2020
IEEE Internet of Things Journal
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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)
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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
2017
International Journal of Intelligent Engineering and Systems
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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
2021
Complex & Intelligent Systems
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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
2008
2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops
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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]
2017
arXiv
pre-print
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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]
2018
arXiv
pre-print
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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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