scholarly journals Falcon: A Blockchain-Based Edge Service Migration Framework in MEC

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Xiangjun Zhang ◽  
Weiguo Wu ◽  
Shiyuan Yang ◽  
Xiong Wang

Driven by advanced 5G cellular systems, mobile edge computing (MEC) has emerged as a promising technology that can meet the energy efficiency and latency requirements of IoT applications. Edge service migration in the MEC environment plays an important role in ensuring user service quality and enhancing terminal computing capabilities. Application services on the edge side should be migrated from different edge servers to edge nodes closer to users, so that services follow users and ensure high-quality services. In addition, during the migration process, edge services face security challenges in an edge network environment without centralized management. To tackle this challenge, this paper innovatively proposes a blockchain-based security edge service migration framework, Falcon, which uses mobile agents different from VM and container as edge service carriers, making migration more flexible. Furthermore, we considered the dependencies between agents and designed a service migration algorithm to maximize the migration benefits and obtain better service quality. In order to ensure the migration of edge services in a safe and reliable environment, Falcon maintains an immutable alliance chain among multiple edge clouds. Finally, the experimental results show that “Falcon” has lower energy consumption and higher service quality.

2019 ◽  
Vol 36 (6) ◽  
pp. 750-764
Author(s):  
Ahmed M'hamdi ◽  
Fatima-Ezahra Sfa ◽  
Mohamed Nemiche ◽  
Saida Hachimi El Idrissi ◽  
Rafael Pla-López

2010 ◽  
Vol 41 (1) ◽  
pp. 87-101 ◽  
Author(s):  
Najmus Saqib Malik ◽  
David Ko ◽  
Harry H. Cheng

2019 ◽  
Vol 1 (2) ◽  
pp. 16 ◽  
Author(s):  
Deepak Choudhary

The Internet of Things (IoT) enables the integration of data from virtual and physical worlds. It involves smart objects that can understand and react to their environment in a variety of industrial, commercial and household settings. As the IoT expands the number of connected devices, there is the potential to allow cyber-attackers into the physical world in which we live, as they seize on security holes in these new systems. New security issues arise through the heterogeneity  of  IoT  applications and devices and their large-scale deployment.


Author(s):  
Najmus Saqib Malik ◽  
David Ko ◽  
Harry H. Cheng

This paper describes a secure migration process of mobile agents between agencies. Mobile-C is an IEEE Foundation for Intelligent Physical Agents (FIPA) standard compliant multi-agent platform for supporting C/C++ mobile and stationary agents. This secure migration process is inspired from Secure Shell (SSH). Before migration, both agencies authenticate each other using public key authentication. After successful authentication, an encrypted mobile agent is transferred and its integrity is verified. Mobile-C is specially designed for mechatronic and factory automation systems where, for correct system operations, agencies must accept mobile agents from trusted agencies. For this reason, the emphasis is on strong authentication of both agencies involved in migration process. Security aspects of other popular mobile agent systems are described briefly. A comparison study with SSH protocol is performed and future work is elaborated.


Author(s):  
Muhammad Rehan Yahya ◽  
Ning Wu ◽  
Zain Anwar Ali

The evolution of internet of things (IoT) applications, cloud computing, smart cities, and 4G/5G wireless communication systems have significantly increased the demands for on chip processing. Network on chip (NoC) is a viable alternative that can provide higher processing and bandwidth for increasing demands. NoC offers better performance and more flexibility with lower communication latency and higher throughput. However, use of NoC-based IoT devices have raised concerns on security and reliability of integrated chips (IC), which is used in almost every application. IoT devices share data that becomes vulnerable to attack and can be compromised during the data transfer. Keeping in view these security challenges, a detailed survey is presented that covers the security issues and challenges focusing on NoCs along with proposed countermeasures to secure on-chip communication. This study includes on-chip security issues for electrical as well as optical on-chip interconnects.


Author(s):  
Tasneem Salah ◽  
M. Jamal Zemerly ◽  
Chan Yeob Yeun ◽  
Mahmoud Al-Qutayri ◽  
Yousof Al-Hammadi

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Jintian Hu ◽  
Gaocai Wang ◽  
Xiaotong Xu ◽  
Yuting Lu

In the mobile edge computing (MEC) platform, tasks that are being performed often change due to mobile device migration. In order to improve the energy utilization of the MEC platform and the migration process of the mobile terminal and to ensure effective and continuous operation of services, dynamic service migration strategy with energy optimization is required. Aiming at the problem of energy consumption optimization of dynamic service migration with the far-near effect in mobile networks, this article proposes a dynamic service migration strategy with energy optimization, which ensures the performance requirements of the service by considering the minimum energy cost of the relevant equipment during the dynamic migration process. First, by analyzing the relationship between migration distance and equipment transmit power, the energy consumption model associated with the migration distance is established. Then, according to the task dynamic service migration scenario, the dynamic service migration energy consumption model is constructed, so as to obtain the reward function for migrating energy consumption. Finally, the dynamic service migration strategy with energy optimization is realized through the optimal migration energy consumption expectation, which is obtained by the optimal stopping theory. The experimental results show that the optimization strategy proposed in this article can effectively reduce the energy consumption of dynamic service migration in different simulation environments and can improve the dynamic migration performance.


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