Special Issue "Fault Tolerance in Cloud/Edge/Fog Computing"
Deadline for manuscript submissions: closed (20 April 2021) | Viewed by 467
Interests: dependable and distributed computing; software engineering; formal methods; cyber-physical systems
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The Internet of Things (IoT) has brought a new era of computing that permeates in almost every aspect of our lives. Low-end IoT devices (e.g., smart sensors) are almost everywhere, monitoring and controlling the private and public infrastructure (e.g., home appliances, urban transportation, water management system) of our modern life. Low-end IoT devices communicate enormous amount of data to the cloud computing centers through intermediate devices, a.k.a. edge devices, that benefit from stronger computational resources (e.g., memory, processing power). To enhance the throughput and resiliency of such a three-tier architecture (i.e., low-end devices, edge devices and the cloud), it is desirable to perform some tasks (e.g., storing shared objects) on edge devices instead of delegating everything to the cloud. Moreover, any sort of failure in this three-tier architecture would undermine the quality of service and the reliability of services provided to the end users.
The focus of this Special Issue is on theoretical and experimental methods that incorporate fault tolerance in cloud and edge computing, and have the potential to improve the overall robustness of services in three-tier architectures. The topics of interest include (but are not limited to) the following:
- Faults and failures in cloud and edge computing.
- State replication on edge devices under the scarcity of resources.
- Fault tolerance mechanism on the edge and in the cloud.
- Models for the predication of service latency and costs in distributed fault-tolerant protocols on the edge and in the cloud.
- Fault-tolerant distributed protocols for resource management of edge devices.
- Fault-tolerant edge/cloud computing.
- Fault-tolerant computing on low-end devices.
- Load balancing (on the edge and in the cloud) in the presence of failures.
- Fault-tolerant data intensive applications on the edge and the cloud.
- Metrics and benchmarks for the evaluation of fault tolerance mechanisms in cloud/edge computing.
Dr. Ali Ebnenasir
Prof. Dr. Sandeep S. Kulkarni
Manuscript Submission Information
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- Fault tolerance
- Cloud computing
- Edge computing
- Resource-constrained devices
- Distributed protocols
- State replication