Rapid progress in the CMOS technology for the past 25 years has increased the vulnerability of processors towards faults. Subsequently, focus of computer architects shifted towards designing fault-tolerance methods for processor architectures. ...

Fault tolerance, energy management, and quality of service (QoS) are essential aspects for the design of real-time embedded systems. In this work, we focus on exploring methods that can simultaneously address the above three critical issues under standby-...

Cloud environments are becoming increasingly interesting to host time-critical use cases with far more stringent latency requirements than conventional cloud-native applications, such as smart industrial control systems or cloud-enabled autonomous ...

Compute-in-memory based binary neural networks or CiM-BNNs offer high energy/area efficiency for the design of edge deep neural network (DNN) accelerators, with only a mild accuracy reduction. However, for successful deployment, the design of CiM-BNNs ...

The possibilities of increasing the readiness of fault-tolerant cluster systems for the timely execution of functional requests are investigated. Duplicated systems containing two computers and two two-input memory nodes are considered as cluster ...

This paper investigates the issue of target-barrier coverage in wireless sensor networks that utilize both static and mobile sensors, resulting in enhanced fault tolerance and reliability. The main objective is to establish a reliable and dependable ...

For real-time embedded systems, QoS (Quality of Service), fault tolerance, and energy budget constraint are among the primary design concerns. In this research, we investigate the problem of energy constrained standby-sparing for both periodic and ...

Cyber-physical systems (CPS) are used in various safety-critical domains such as robotics, industrial manufacturing systems, and power systems. Faults and cyber attacks have been shown to cause safety violations, which can damage the system and endanger ...

Byzantine fault-tolerant (BFT) consensus algorithms are at the core of providing safety and liveness guarantees for distributed systems that must operate in the presence of arbitrary failures. Recently, numerous new BFT algorithms have been proposed, not ...

Systems offering fault-resilient, energy-efficient, soft real-time data communication have wide applications in Industrial Internet-of-Things (IIoT). While there have been extensive studies for fault resilience in real-time embedded systems, ...

We present an extensive study focused on partial network partitioning. Partial network partitions disrupt the communication between some but not all nodes in a cluster. First, we conduct a comprehensive study of system failures caused by this fault in 13 ...

Erasure codes are widely deployed in modern storage systems, leading to frequent usage of their encoding/decoding operations. The encoding/decoding process for erasure codes is generally carried out using the parity-check matrix approach. However, this ...

Due to their low cost and the need to run computationally-intensive algorithms locally, satellites and spacecraft are increasingly employing off-the-shelf computing hardware. However, hardware in space is exposed to significantly higher amounts of ...

Opportunistic Mobile Edge Cloud in which opportunistically connected mobile devices run in a cooperative way to augment the capability of a single device has become a timely and essential topic due to its widespread prospect under resource-constrained ...

A robust solution that incorporates fault tolerance and elastic scaling capabilities for distributed deep learning. Taking advantage of MPI resilient capabilities, aka. User-Level Failure Mitigation (ULFM), this novel approach promotes efficient and ...

Evictable cloud resources give providers extra flexibility in managing their infrastructure and help reduce resource idleness. Due to its user-transparent and ephemeral nature, serverless computing appears to be a logical fit to make use of this type ...

Silent Data Corruption (SDC) in processors can lead to various application-level issues, such as incorrect calculations and even data loss. Since traditional techniques are not effective in detecting processor SDCs, it is very hard to address problems ...

Large deep learning models have recently garnered substantial attention from both academia and industry. Nonetheless, frequent failures are observed during large model training due to large-scale resources involved and extended training time. Existing ...

The frequency of link failures in Internet-of-Things (IoT) network are more than the node failures. Hence, effective link recovery schemes are required for a seamless communication in the IoT. In contrast to traditional networking, the IoT is ...

The restoration lemma by Afek et al. [3] proves that, in an undirected unweighted graph, any replacement shortest path avoiding a failing edge can be expressed as the concatenation of two original shortest paths. However, the lemma is tiebreaking-...