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Santos Kumar Das - IEEE Xplore Author Profile

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Author details

Santos Kumar Das

Also published under: S. K. Das, Santhos Kumar Das, Santos K. Das

Publications

63

Citations

264

Publications by Year

20112024

Co-Authors:

Abhirup AcharyaKorra Sathya BabuMohini Mohan BeheraMahesh BepariDebarka Chakraborty

Show All Co-Authors (71)

Santos Kumar Das

Also published under: S. K. Das, Santhos Kumar Das, Santos K. Das

Affiliation

Department of ECE

NIT Rourkela

Odisha, India

Publication Topics

Convolutional Neural Network,
Unmanned Aerial Vehicles,
Deep Learning,
Uniform Linear Array,
Bit Error Rate,
Convolutional Layers,
Support Vector Machine,
Additive Noise,
Antenna Array,
Bit Error,
Bit Error Rate Performance,
Convolutional Neural Network Model

Biography

Santos Kumar Das (Senior Member, IEEE) received the B.E. degree in electronics and communication engineering from UCE Burla, Odisha, India, in 1998, the M.S. degree from Indian Institute of Science at Bangalore (IISc), Bangalore, India, in 2002, and the Ph.D. degree from the National Institute of Technology at Rourkela, Rourkela, India, in 2014. He is currently an Associate Professor with the Department of Electronics and Communication Engineering, National Institute of Technology at Rourkela. He has published more than 100 papers in peer-reviewed international journals and conference proceedings. He has worked in a number of organizations both in India and abroad in various capacities. He has served on the program committee of a number of ...

Publications

63

Citations

264

Publications by Year

20112024

Co-Authors:

Abhirup Acharya
Korra Sathya Babu
Mohini Mohan Behera
Mahesh Bepari
Debarka Chakraborty

Show All Co-Authors (71)

Author's Published Works

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Showing 1-25 of 35 results

Journals (22)

Conferences (12)

Early Access Articles (1)

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Department of Computer Science, City University of Hong Kong, Hong Kong, China(9)
College of Computer Science, Sichuan University, Chengdu, China(7)
School of Software, Dalian University of Technology, Dalian, China(7)
School of Computers, Guangdong University of Technology, Guangzhou, China(6)
Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China(5)
IEEE Transactions on Mobile Computing(8)
IEEE/ACM Transactions on Networking(4)
IEEE Transactions on Parallel and Distributed Systems(3)
IEEE Transactions on Services Computing(3)
IEEE INFOCOM 2023 - IEEE Conference on Computer Communications(2)
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Algorithm For Problem(28)
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Average AoI Minimization With Directional Charging for Wireless-Powered Network Edge

Quan Chen;Song Guo;Wenchao Xu;Jing Li;Tuo Shi;Hong Gao;Zhipeng Cai

IEEE Transactions on Mobile Computing

Year: 2025 | Early Access Article |

Age of Information (AoI) has been proposed as a new performance metric to capture the freshness of data. At wireless-powered network edge, the source nodes first need to be charged ready for update transmissions, which means the system AoI is not only decided by the scheduling of update transmissions but also by the designing of charging plan. However, the existing works either only focused on the...Show More

Average AoI Minimization With Directional Charging for Wireless-Powered Network Edge

Quan Chen;Song Guo;Wenchao Xu;Jing Li;Tuo Shi;Hong Gao;Zhipeng Cai

IEEE Transactions on Mobile Computing

Year: 2025 | Early Access Article |

Approximation Algorithm and Applications for Connected Submodular Function Maximization Problems

Ziming Wang;Jing Li;He Xue;Wenzheng Xu;Weifa Liang;Zichuan Xu;Jian Peng;Pan Zhou;Xiaohua Jia;Sajal K. Das

IEEE Transactions on Networking

Year: 2025 | Volume: 33, Issue: 1 | Journal Article |

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In this paper, we study a connected submodular function maximization problem, which arises from many applications including deploying UAV networks to serve users and placing sensors to cover Points of Interest (PoIs). Specifically, given a budget K, the problem is to find a subset S with K nodes from a graph G, so that a given submodular function

$f(S)$ on S is maximized and the induced subgraph...Show More

Approximation Algorithm and Applications for Connected Submodular Function Maximization Problems

Ziming Wang;Jing Li;He Xue;Wenzheng Xu;Weifa Liang;Zichuan Xu;Jian Peng;Pan Zhou;Xiaohua Jia;Sajal K. Das

IEEE Transactions on Networking

Year: 2025 | Volume: 33, Issue: 1 | Journal Article |

AoI-Aware Service Provisioning in Edge Computing for Digital Twin Network Slicing Requests

Jing Li;Song Guo;Weifa Liang;Jianping Wang;Quan Chen;Zicong Hong;Zichuan Xu;Wenzheng Xu;Bin Xiao

IEEE Transactions on Mobile Computing

Year: 2024 | Volume: 23, Issue: 12 | Journal Article |

HTML

Digital twins are poised to enter our lives with Industry 4.0. The Digital Twin Network (DTN) paradigm is projected to deliver upon the promise of efficient collaboration among digital twins to enable complicated and systematic services across many domains, through depicting an overall picture of a group of physical objects. To achieve timely data processing of digital twins, Mobile Edge Computing...Show More

AoI-Aware Service Provisioning in Edge Computing for Digital Twin Network Slicing Requests

Jing Li;Song Guo;Weifa Liang;Jianping Wang;Quan Chen;Zicong Hong;Zichuan Xu;Wenzheng Xu;Bin Xiao

IEEE Transactions on Mobile Computing

Year: 2024 | Volume: 23, Issue: 12 | Journal Article |

Approximation Algorithm for Connected Submodular Function Maximization Problems

Wenzheng Xu;He Xue;Jing Li;Weifa Liang;Zichuan Xu;Pan Zhou;Xiaohua Jia;Sajal K. Das

2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)

Year: 2024 | Conference Paper |

HTML

In this paper, we study a connected submodular function maximization problem, which arises from many applications including deploying UAV networks to serve users and placing sensors to cover Points of Interest (PoIs). Specifically, given a budget

$K$ , the problem is to find a subset

$S$ with

$K$ nodes from a graph

$G$ so that a given submodular function

$f (S)$ on

$S$ is maximized while the induce...Show More

Approximation Algorithm for Connected Submodular Function Maximization Problems

Wenzheng Xu;He Xue;Jing Li;Weifa Liang;Zichuan Xu;Pan Zhou;Xiaohua Jia;Sajal K. Das

2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)

Year: 2024 | Conference Paper |

AoI-Aware, Digital Twin-Empowered IoT Query Services in Mobile Edge Computing

Jing Li;Song Guo;Weifa Liang;Jie Wu;Quan Chen;Zichuan Xu;Wenzheng Xu;Jianping Wang

IEEE/ACM Transactions on Networking

Year: 2024 | Volume: 32, Issue: 4 | Journal Article |

Cited by: Papers (4)

HTML

The Mobile Edge Computing (MEC) paradigm gives impetus to the vigorous advancement of the Internet of Things (IoT), through provisioning low-latency computing services at network edges. The emerging digital twin technique has been explosively growing in the IoT community, which bridges the gap between physical objects and their digital representations in an MEC network, enabling real-time monitori...Show More

AoI-Aware, Digital Twin-Empowered IoT Query Services in Mobile Edge Computing

Jing Li;Song Guo;Weifa Liang;Jie Wu;Quan Chen;Zichuan Xu;Wenzheng Xu;Jianping Wang

IEEE/ACM Transactions on Networking

Year: 2024 | Volume: 32, Issue: 4 | Journal Article |

Mobility-Aware Utility Maximization in Digital Twin-Enabled Serverless Edge Computing

Jing Li;Song Guo;Weifa Liang;Jianping Wang;Quan Chen;Wenchao Xu;Kang Wei;Xiaohua Jia

IEEE Transactions on Computers

Year: 2024 | Volume: 73, Issue: 7 | Journal Article |

Cited by: Papers (3)

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Driven by data and models, the digital twin technique presents a new concept of optimizing system design, process monitoring, decision-making and more, through performing comprehensive virtual-reality interaction and continuous mapping. By introducing serverless computing to Mobile Edge Computing (MEC) environments, the emerging serverless edge computing paradigm facilitates the communication-effi...Show More

Mobility-Aware Utility Maximization in Digital Twin-Enabled Serverless Edge Computing

Jing Li;Song Guo;Weifa Liang;Jianping Wang;Quan Chen;Wenchao Xu;Kang Wei;Xiaohua Jia

IEEE Transactions on Computers

Year: 2024 | Volume: 73, Issue: 7 | Journal Article |

Maximizing Network Throughput in Heterogeneous UAV Networks

Shuyue Li;Jing Li;Chaocan Xiang;Wenzheng Xu;Jian Peng;Ziming Wang;Weifa Liang;Xinwei Yao;Xiaohua Jia;Sajal K Das

IEEE/ACM Transactions on Networking

Year: 2024 | Volume: 32, Issue: 3 | Journal Article |

Cited by: Papers (3)

HTML

In this paper we study the deployment of an Unmanned Aerial Vehicle (UAV) network that consists of multiple UAVs to provide emergent communication service for people who are trapped in a disaster area, where each UAV is equipped with a base station that has limited computing capacity and power supply, and thus can only serve a limited number of people. Unlike most existing studies that focused on ...Show More

Maximizing Network Throughput in Heterogeneous UAV Networks

Shuyue Li;Jing Li;Chaocan Xiang;Wenzheng Xu;Jian Peng;Ziming Wang;Weifa Liang;Xinwei Yao;Xiaohua Jia;Sajal K Das

IEEE/ACM Transactions on Networking

Year: 2024 | Volume: 32, Issue: 3 | Journal Article |

Peak AoI Minimization With Directional Charging for Data Collection at Wireless-Powered Network Edge

Quan Chen;Song Guo;Wenchao Xu;Jing Li;Kang Wei;Zhipeng Cai;Hong Gao

IEEE Transactions on Services Computing

Year: 2024 | Volume: 17, Issue: 5 | Journal Article |

Cited by: Papers (1)

HTML

Age of Information (AoI) has emerged as a new metric to measure data freshness from the destination's perspective. To optimize the system AoI, most existing works focused on the point of scheduling of update transmissions. While at wireless-powered network edge, the source nodes can only transmit their updates after being charged ready, which means the system AoI is not only determined by the upda...Show More

Peak AoI Minimization With Directional Charging for Data Collection at Wireless-Powered Network Edge

Quan Chen;Song Guo;Wenchao Xu;Jing Li;Kang Wei;Zhipeng Cai;Hong Gao

IEEE Transactions on Services Computing

Year: 2024 | Volume: 17, Issue: 5 | Journal Article |

Towards Real-Time Inference Offloading With Distributed Edge Computing: The Framework and Algorithms

Quan Chen;Song Guo;Kaijia Wang;Wenchao Xu;Jing Li;Zhipeng Cai;Hong Gao;Albert Y. Zomaya

IEEE Transactions on Mobile Computing

Year: 2024 | Volume: 23, Issue: 7 | Journal Article |

Cited by: Papers (2)

HTML

By combining edge computing and parallel computing, distributed edge computing has emerged as a new paradigm to exploit the booming IoT devices at the edge. To accelerate computation at the edge, i.e., the inference tasks for DNN-driven applications, the parallelism of both computation and communication needs to be considered for distributed edge computing, and thus, the problem of Minimum Latency...Show More

Towards Real-Time Inference Offloading With Distributed Edge Computing: The Framework and Algorithms

Quan Chen;Song Guo;Kaijia Wang;Wenchao Xu;Jing Li;Zhipeng Cai;Hong Gao;Albert Y. Zomaya

IEEE Transactions on Mobile Computing

Year: 2024 | Volume: 23, Issue: 7 | Journal Article |

Digital Twin-Enabled Service Provisioning in Edge Computing via Continual Learning

Jing Li;Song Guo;Weifa Liang;Jianping Wang;Quan Chen;Yue Zeng;Baoliu Ye;Xiaohua Jia

IEEE Transactions on Mobile Computing

Year: 2024 | Volume: 23, Issue: 6 | Journal Article |

Cited by: Papers (13)

HTML

Propelled by recent advances in Mobile Edge Computing (MEC) and the Internet of Things (IoT), the digital twin technique has been envisioned as a de-facto driving force to bridge the virtual and physical worlds through creating digital portrayals of physical objects. In virtue of the flourishing of edge intelligence and abundant IoT data, data-driven modelling facilitates the implementation and ma...Show More

Digital Twin-Enabled Service Provisioning in Edge Computing via Continual Learning

Jing Li;Song Guo;Weifa Liang;Jianping Wang;Quan Chen;Yue Zeng;Baoliu Ye;Xiaohua Jia

IEEE Transactions on Mobile Computing

Year: 2024 | Volume: 23, Issue: 6 | Journal Article |

SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments

Yue Zeng;Zhihao Qu;Song Guo;Baoliu Ye;Jie Zhang;Jing Li;Bin Tang

IEEE Transactions on Computers

Year: 2024 | Volume: 73, Issue: 1 | Journal Article |

Cited by: Papers (2)

HTML

As a key technology of 5G, network function virtualization enables each monolithic service to be divided into microservices, facilitating their deployment and management in edge environments. One of the most critical issues in 5G is how to support dynamically arriving mission-critical services with low-latency and high-reliability requirements in distributed edge environments. However, most existi...Show More

SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments

Yue Zeng;Zhihao Qu;Song Guo;Baoliu Ye;Jie Zhang;Jing Li;Bin Tang

IEEE Transactions on Computers

Year: 2024 | Volume: 73, Issue: 1 | Journal Article |

AoI-Aware User Service Satisfaction Enhancement in Digital Twin-Empowered Edge Computing

Jing Li;Song Guo;Weifa Liang;Jianping Wang;Quan Chen;Zichuan Xu;Wenzheng Xu

IEEE/ACM Transactions on Networking

Year: 2024 | Volume: 32, Issue: 2 | Journal Article |

Cited by: Papers (14)

HTML

The emerging digital twin technique enhances the network management efficiency and provides comprehensive insights on network performance, through mapping physical objects to their digital twins. The user satisfaction on digital twin-enabled service relies on the freshness of digital twin data, which is measured by the Age of Information (AoI). Due to long service delays, the use of the remote clo...Show More

AoI-Aware User Service Satisfaction Enhancement in Digital Twin-Empowered Edge Computing

Jing Li;Song Guo;Weifa Liang;Jianping Wang;Quan Chen;Zichuan Xu;Wenzheng Xu

IEEE/ACM Transactions on Networking

Year: 2024 | Volume: 32, Issue: 2 | Journal Article |

Peak AoI Minimization at Wireless-Powered Network Edge: From the Perspective of Both Charging and Transmitting

Quan Chen;Song Guo;Zhipeng Cai;Jing Li;Tuo Shi;Hong Gao

IEEE/ACM Transactions on Networking

Year: 2024 | Volume: 32, Issue: 1 | Journal Article |

Cited by: Papers (4)

HTML

Age of Information, which emerged as a new metric to quantify the freshness of information, has attracted increasing interests recently. To optimize the system AoI, most existing works try to compute an efficient schedule from the point of data transmission. Unfortunately, at wireless-powered network edge, the charging schedule of the source nodes also needs to be decided besides data transmission...Show More

Peak AoI Minimization at Wireless-Powered Network Edge: From the Perspective of Both Charging and Transmitting

Quan Chen;Song Guo;Zhipeng Cai;Jing Li;Tuo Shi;Hong Gao

IEEE/ACM Transactions on Networking

Year: 2024 | Volume: 32, Issue: 1 | Journal Article |

Digital Twin-Assisted, SFC-Enabled Service Provisioning in Mobile Edge Computing

Jing Li;Song Guo;Weifa Liang;Quan Chen;Zichuan Xu;Wenzheng Xu;Albert Y. Zomaya

IEEE Transactions on Mobile Computing

Year: 2024 | Volume: 23, Issue: 1 | Journal Article |

Cited by: Papers (38)

HTML

Mobile Edge Computing (MEC) has been identified as a desirable computing paradigm that provides efficient and effective services for various applications, while meeting stringent service delay requirements. Orthogonal to the MEC computing paradigm, Network Function Virtualization (NFV) technology is another enabling technology that provides the network resource management with great flexibility an...Show More

Digital Twin-Assisted, SFC-Enabled Service Provisioning in Mobile Edge Computing

Jing Li;Song Guo;Weifa Liang;Quan Chen;Zichuan Xu;Wenzheng Xu;Albert Y. Zomaya

IEEE Transactions on Mobile Computing

Year: 2024 | Volume: 23, Issue: 1 | Journal Article |

Wait for Fresh Data? Digital Twin Empowered IoT Services in Edge Computing

Jing Li;Song Guo;Weifa Liang;Jie Wu;Quan Chen;Zichuan Xu;Wenzheng Xu;Jianping Wang

2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS)

Year: 2023 | Conference Paper |

Cited by: Papers (6)

HTML

The Mobile Edge Computing (MEC) paradigm gives impetus to the vigorous advancement of Internet of Things (IoT), through provisioning low-latency computing services at network edges. The emerging digital twin technique has grown in the community of IoT, and bridges the gap between physical objects and their digital representations in MEC, thereby enabling real-time data analysis, simulating the dyn...Show More

Wait for Fresh Data? Digital Twin Empowered IoT Services in Edge Computing

Jing Li;Song Guo;Weifa Liang;Jie Wu;Quan Chen;Zichuan Xu;Wenzheng Xu;Jianping Wang

2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS)

Year: 2023 | Conference Paper |

Coverage Maximization of Heterogeneous UAV Networks

Shuyue Li;Chaocan Xiang;Wenzheng Xu;Jian Peng;Zichuan Xu;Jing Li;Weifa Liang;Xiaohua Jia

2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

HTML

In this paper we study the deployment of a UAV (unmanned aerial vehicle) network that consists of multiple UAVs to provide emergent communication services to people trapped in a disaster area, where each UAV is equipped with a base station that has limited computing capacity and power supply, and thus can only serve a limited number of users. Unlike most existing studies focusing on homogenous UAV...Show More

Coverage Maximization of Heterogeneous UAV Networks

Shuyue Li;Chaocan Xiang;Wenzheng Xu;Jian Peng;Zichuan Xu;Jing Li;Weifa Liang;Xiaohua Jia

2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS)

Year: 2023 | Conference Paper |

Latency-Optimal Pyramid-based Joint Communication and Computation Scheduling for Distributed Edge Computing

Quan Chen;Kaijia Wang;Song Guo;Tuo Shi;Jing Li;Zhipeng Cai;Albert Zomaya

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications

Year: 2023 | Conference Paper |

Cited by: Papers (5)

HTML

By combing edge computing and parallel computing, distributed edge computing has emerged as a new paradigm to accelerate computation at the edge. Considering the parallelism of both computation and communication, the problem of Minimum Latency joint Communication and Computation Scheduling (MLCCS) is studied recently. However, existing works have rigid assumptions that the communication time of ea...Show More

Latency-Optimal Pyramid-based Joint Communication and Computation Scheduling for Distributed Edge Computing

Quan Chen;Kaijia Wang;Song Guo;Tuo Shi;Jing Li;Zhipeng Cai;Albert Zomaya

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications

Year: 2023 | Conference Paper |

Digital Twin-Enabled Service Satisfaction Enhancement in Edge Computing

Jing Li;Jianping Wang;Quan Chen;Yuchen Li;Albert Y. Zomaya

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications

Year: 2023 | Conference Paper |

Cited by: Papers (18)

HTML

The emerging digital twin technique enhances the network management efficiency and provides comprehensive insights, through mapping physical objects to their digital twins. The user satisfaction on digital twin-enabled query services relies on the freshness of digital twin data, which is measured by the Age of Information (AoI). Because the remote cloud faces challenges in providing data for users...Show More

Digital Twin-Enabled Service Satisfaction Enhancement in Edge Computing

Jing Li;Jianping Wang;Quan Chen;Yuchen Li;Albert Y. Zomaya

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications

Year: 2023 | Conference Paper |

Optimizing Average AoI with Directional Charging for Wireless-Powered Network Edge

Quan Chen;Song Guo;Wenchao Xu;Jing Li;Tuo Shi;Zhipeng Cai;Hong Gao

2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

HTML

Age of Information, which emerged as a new performance metric to quantify the data freshness, has drawn increasing interests recently. At wireless-powered network edge, the source nodes can only transmit their updates after being charged ready, which means the system AoI is not only determined by the update transmission strategies, but also the charging strategies. However, the existing works eith...Show More

Optimizing Average AoI with Directional Charging for Wireless-Powered Network Edge

Quan Chen;Song Guo;Wenchao Xu;Jing Li;Tuo Shi;Zhipeng Cai;Hong Gao

2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS)

Year: 2023 | Conference Paper |

RuleDRL: Reliability-Aware SFC Provisioning With Bounded Approximations in Dynamic Environments

Yue Zeng;Zhihao Qu;Song Guo;Bin Tang;Baoliu Ye;Jing Li;Jie Zhang

IEEE Transactions on Services Computing

Year: 2023 | Volume: 16, Issue: 5 | Journal Article |

Cited by: Papers (4)

HTML

As a key enabling technology for 5G, network function virtualization abstracts services into software-based service function chains (SFCs), facilitating mission-critical services with high-reliability requirements. However, it is challenging to cost-effectively provide reliable SFCs in dynamic environments due to delayed rewards caused by future SFC requests, limited infrastructure resources, and ...Show More

RuleDRL: Reliability-Aware SFC Provisioning With Bounded Approximations in Dynamic Environments

Yue Zeng;Zhihao Qu;Song Guo;Bin Tang;Baoliu Ye;Jing Li;Jie Zhang

IEEE Transactions on Services Computing

Year: 2023 | Volume: 16, Issue: 5 | Journal Article |

Energy-Aware, Device-to-Device Assisted Federated Learning in Edge Computing

Yuchen Li;Weifa Liang;Jing Li;Xiuzhen Cheng;Dongxiao Yu;Albert Y. Zomaya;Song Guo

IEEE Transactions on Parallel and Distributed Systems

Year: 2023 | Volume: 34, Issue: 7 | Journal Article |

Cited by: Papers (16)

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The surging of deep learning brings new vigor and vitality to shape the prospect of intelligent Internet of Things (IoT), and the rise of edge intelligence enables provisioning real-time deep neural network (DNN) inference services for mobile users. To perform efficient and effective DNN model training in edge computing environments while preserving training data security and privacy of IoT device...Show More

Energy-Aware, Device-to-Device Assisted Federated Learning in Edge Computing

Yuchen Li;Weifa Liang;Jing Li;Xiuzhen Cheng;Dongxiao Yu;Albert Y. Zomaya;Song Guo

IEEE Transactions on Parallel and Distributed Systems

Year: 2023 | Volume: 34, Issue: 7 | Journal Article |

Budget-Aware User Satisfaction Maximization on Service Provisioning in Mobile Edge Computing

Jing Li;Weifa Liang;Wenzheng Xu;Zichuan Xu;Xiaohua Jia;Albert Y. Zomaya;Song Guo

IEEE Transactions on Mobile Computing

Year: 2023 | Volume: 22, Issue: 12 | Journal Article |

Cited by: Papers (19)

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Mobile Edge Computing (MEC) promises to provide mobile users with delay-sensitive services at the edge of network, and each user service request usually is associated with a Service Function Chain (SFC) requirement that consists of Virtualized Network Functions (VNFs) in order. The satisfaction of a user on his requested service is heavily impacted by the service reliability. In this article, we s...Show More

Budget-Aware User Satisfaction Maximization on Service Provisioning in Mobile Edge Computing

Jing Li;Weifa Liang;Wenzheng Xu;Zichuan Xu;Xiaohua Jia;Albert Y. Zomaya;Song Guo

IEEE Transactions on Mobile Computing

Year: 2023 | Volume: 22, Issue: 12 | Journal Article |

Service Home Identification of Multiple-Source IoT Applications in Edge Computing

Jing Li;Weifa Liang;Wenzheng Xu;Zichuan Xu;Yuchen Li;Xiaohua Jia

IEEE Transactions on Services Computing

Year: 2023 | Volume: 16, Issue: 2 | Journal Article |

Cited by: Papers (23)

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The real-time communication requirement of the Internet of Things (IoT) applications promotes the convergence of IoT and Mobile Edge Computing (MEC). The MEC paradigm greatly shortens the IoT service delay by leveraging cloudlets (edge servers) of MEC in the proximity of IoT devices. Considering limited computing and storage resources in an MEC network, it is challenging to provide efficient IoT-e...Show More

Service Home Identification of Multiple-Source IoT Applications in Edge Computing

Jing Li;Weifa Liang;Wenzheng Xu;Zichuan Xu;Yuchen Li;Xiaohua Jia

IEEE Transactions on Services Computing

Year: 2023 | Volume: 16, Issue: 2 | Journal Article |

Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism

Jing Li;Weifa Liang;Yuchen Li;Zichuan Xu;Xiaohua Jia;Song Guo

IEEE Transactions on Mobile Computing

Year: 2023 | Volume: 22, Issue: 5 | Journal Article |

Cited by: Papers (46)

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Mobile Edge Computing (MEC) has emerged as a promising paradigm catering to overwhelming explosions of mobile applications, by offloading compute-intensive tasks to MEC networks for processing. The surging of deep learning brings new vigor and vitality to shape the prospect of intelligent Internet of Things (IoT), and edge intelligence arises to provision real-time deep neural network (DNN) infere...Show More

Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism

Jing Li;Weifa Liang;Yuchen Li;Zichuan Xu;Xiaohua Jia;Song Guo

IEEE Transactions on Mobile Computing

Year: 2023 | Volume: 22, Issue: 5 | Journal Article |

SFC-Enabled Reliable Service Provisioning in Mobile Edge Computing via Digital Twins

Jing Li;Song Guo;Weifa Liang;Quan Chen;Zichuan Xu;Wenzheng Xu

2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)

Year: 2022 | Conference Paper |

Cited by: Papers (12)

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The Mobile Edge Computing (MEC) paradigm emerges as a promising technology to provide services for various mobile applications at edges of core networks while meeting stringent service delay requirements of users. Orthogonal with the MEC, Network Function Virtualization (NFV) provides the network resource management with flexibility and scalability, where Virtual Network Functions (VNFs) are deplo...Show More

SFC-Enabled Reliable Service Provisioning in Mobile Edge Computing via Digital Twins

Jing Li;Song Guo;Weifa Liang;Quan Chen;Zichuan Xu;Wenzheng Xu

2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)

Year: 2022 | Conference Paper |

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