Adaptive fault-tolerant scheduling strategies for mobile cloud computing

Lee, JongHyuk; Gil, Joon‐Min

doi:10.1007/s11227-019-02745-5

Cited by 20 publications

(9 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Intelligently used are cloud resources, which can be dynamically extended up and down based on the tool. Manually processing huge volumes of data contributes to consumer loss over The artificial intelligence strongly supports fault tolerance [22] mechanism and tracks and handles application malfunction through the smooth relocation of servers. Supervised and unsupervised deep learning approaches are used to recognize and minimize loss trends in tandem with computational methods.…”

Section: Figure 3 Role Of Ai In Addressing Challengesmentioning

confidence: 99%

Role of artificial intelligence in cloud computing, IoT and SDN: Reliability and scalability issues

Belgaum

Alansari

Musa

et al. 2021

IJECE

View full text Add to dashboard Cite

Information technology fields are now more dominated by artificial intelligence, as it is playing a key role in terms of providing better services. The inherent strengths of artificial intelligence are driving the companies into a modern, decisive, secure, and insight-driven arena to address the current and future challenges. The key technologies like cloud, internet of things (IoT), and software-defined networking (SDN) are emerging as future applications and rendering benefits to the society. Integrating artificial intelligence with these innovations with scalability brings beneficiaries to the next level of efficiency. Data generated from the heterogeneous devices are received, exchanged, stored, managed, and analyzed to automate and improve the performance of the overall system and be more reliable. Although these new technologies are not free of their limitations, nevertheless, the synthesis of technologies has been challenged and has put forth many challenges in terms of scalability and reliability. Therefore, this paper discusses the role of artificial intelligence (AI) along with issues and opportunities confronting all communities for incorporating the integration of these technologies in terms of reliability and scalability. This paper puts forward the future directions related to scalability and reliability concerns during the integration of the above-mentioned technologies and enable the researchers to address the current research gaps.

show abstract

Section: Figure 3 Role Of Ai In Addressing Challengesmentioning

confidence: 99%

Role of artificial intelligence in cloud computing, IoT and SDN: Reliability and scalability issues

Belgaum

Alansari

Musa

et al. 2021

IJECE

View full text Add to dashboard Cite

show abstract

“…Here, a fog device has been appointed as the middleware that can detect and replace the main server outage. The detection follows the heartbeat concept [18], [35], where the fog device keeps listening for the main server through ICMP. The chart visualizes the detection process in Figure 7.…”

Section: A Middleware As Computational Processmentioning

confidence: 99%

Segmented Network Architecture for Promoting High Availability in Fog Computing through Middleware

Naim¹,

Zain²,

Jalil³

et al. 2021

International Journal on Advanced Science, Engineering and Information Technology

View full text Add to dashboard Cite

This paper proposes an architecture for deploying applications on a fog computing environment by adding another layer of fog nodes in a network segment that gains high software application availability. The conventional fog computing architecture would permanently shift the storage, applications, and data from cloud servers to fog nodes, thus reducing the dependency on the cloud. As a result, fog nodes are burdened with the task previously done by cloud servers and have become "mini cloud servers." Instead of permanently shifting the tasks from cloud servers to fog nodes, the proposed architecture would only do the shifting, when necessary, like if an internet outage. Additionally, this research also introduced the middleware application that acts as a detector and replacement if service outage so that the availability of the services is not interrupted, especially during the internet outage, by adding another layer of fog node in a network segment. The computational process occurs between end-users and the fog nodes without having to rely on cloud servers. An experiment was conducted to test the performance of the proposed architecture. From the experiment, it can be concluded that the deployment of fog nodes in a segmented network is possible and able to increase the availability of data and services if an internet outage.

show abstract

“…Mobile Cloud computing is also another architecture for FTS analysis. Lee and Gil in [33] proposed a method based on checkpointing and replication called by PDGC. They could reduce the average execution time than other compared methods.…”

Section: Related Workmentioning

confidence: 99%