Existing Fault Tolerance Techniques Research Articles

An Investigative Study on Fault-Tolerant Design Principles for Future Internet

Fault tolerance is crucial for ensuring uninterrupted service delivery in future internet architectures. This paper presents an investigative study on fault-tolerant design principles tailored to the evolving needs of future internet systems. Beginning with a comprehensive review of existing fault tolerance techniques in current internet architectures, the study identifies the limitations and challenges traditional approaches face in meeting the requirements of future internet environments. Fundamental concepts of fault tolerance are discussed, including fault types, detection mechanisms, and recovery strategies. Essential requirements and challenges for future internet architectures are identified, encompassing scalability, heterogeneity, dynamicity, security, and resource constraints. Building upon this foundation, the paper presents a set of comprehensive fault-tolerant design principles customized for future internet systems. These principles address architectural considerations, fault detection and isolation mechanisms, and recovery strategies. Case studies and real-world examples illustrate the application of these design principles in large-scale internet platforms and distributed systems. The paper outlines future research directions and opportunities for further innovation in fault-tolerant design for future internet architectures.

Fault Tolerance Structures in Wireless Sensor Networks (WSNs): Survey, Classification, and Future Directions.

The Industrial Revolution 4.0 (IR 4.0) has drastically impacted how the world operates. The Internet of Things (IoT), encompassed significantly by the Wireless Sensor Networks (WSNs), is an important subsection component of the IR 4.0. WSNs are a good demonstration of an ambient intelligence vision, in which the environment becomes intelligent and aware of its surroundings. WSN has unique features which create its own distinct network attributes and is deployed widely for critical real-time applications that require stringent prerequisites when dealing with faults to ensure the avoidance and tolerance management of catastrophic outcomes. Thus, the respective underlying Fault Tolerance (FT) structure is a critical requirement that needs to be considered when designing any algorithm in WSNs. Moreover, with the exponential evolution of IoT systems, substantial enhancements of current FT mechanisms will ensure that the system constantly provides high network reliability and integrity. Fault tolerance structures contain three fundamental stages: error detection, error diagnosis, and error recovery. The emergence of analytics and the depth of harnessing it has led to the development of new fault-tolerant structures and strategies based on artificial intelligence and cloud-based. This survey provides an elaborate classification and analysis of fault tolerance structures and their essential components and categorizes errors from several perspectives. Subsequently, an extensive analysis of existing fault tolerance techniques based on eight constraints is presented. Many prior studies have provided classifications for fault tolerance systems. However, this research has enhanced these reviews by proposing an extensively enhanced categorization that depends on the new and additional metrics which include the number of sensor nodes engaged, the overall fault-tolerant approach performance, and the placement of the principal algorithm responsible for eliminating network errors. A new taxonomy of comparison that also extensively reviews previous surveys and state-of-the-art scientific articles based on different factors is discussed and provides the basis for the proposed open issues.

Review of Fault Tolerance Frameworks in the Cloud

Fault tolerance is the most imperious issue in the cloud to provide reliable services. Inherent vulnerability to failure hampers the performance and reliability of cloud services. Hence, to achieve reliability, fault tolerance becomes a mandatory feature which is hard to implement due to the dynamic infrastructure and complex interdependencies. Numerous fault tolerance techniques have been developed in the literature to address the challenges of cloud reliability. A recent research survey presented in this paper attempts to integrate the different fault tolerance architecture. This study presents a critical research review on various existing fault tolerance techniques to improve services reliability, availability, and applications execution in the cloud. A comparative analysis, based on different critical metrics like failure prediction, detection strategy, failure history, VM placement, and limitations, of the reviewed framework systems is also included in the paper. This review intends to facilitate the development of the new fault tolerance technique for the cloud environment.

A Cost-Aware Framework for Lifetime Reliability of TSV-Based 3D-IC Design

The lifetime reliability of 3D-IC is limited due to defects, thermal issues and aging of Through-silicon-via (TSV). The state-of-the-art methodologies for enhancing reliability are based on the fault tolerance techniques using redundant TSVs. The existing methodlogies do not consider the target lifetime, various failure mechanisms and workload. Thus the performance and cost of 3D-ICs is affected significantly. In this brief, we propose a TSV lifetime reliability aware 3D-IC framework with various TSV failure mechanisms and workload into consideration. Subsequently, validation and evaluation on IWLS’05 benchmark circuits is done for TSV lifetime reliability and compared with existing fault tolerance techniques to provide synergy between TSV count and targeted lifetime reliability of Router and Ring architectures.

An Efficient Fault Tolerant Mechanism for Mobile Grid Environment

In mobile grid environment, the existing fault tolerance techniques are not feasible and proficient. The present techniques lack to achieve the maximum profit associated with successful execution of the tasks and is deemed to be costly. Hence, we propose a fault tolerance mechanism for scheduling in mobile grid environment. In this technique, we consider failures that occurs during the execution of computing-focused and communication-focused jobs. In order to detect the failure, a novel structured data packet is sent to the destination. The destination acknowledges with a specific type of data packet corresponding to the received packet. The sender analyses the acknowledgement data packet identifies the place and nature of error. Finally, a fault recovery action is performed using the FTMS technique. By simulation results, we show that the proposed technique is reliable and efficient.

Proactive Fault Tolerance Algorithm for Job Scheduling in Computational Grid

Grid use huge number of dynamic, distributed & heterogeneous resources under different organizations domain to executing user applications. Working with these resources, applications face problems due to occurrence of faults. There are number of different faults that occur due to many problems. Therefore grid computing needs an efficient fault tolerance mechanism. This fault tolerance makes the grid system capable to work correctly even in the presence of faults. In this paper we have study various kinds of faults and reasons for occurrence. With this, also study various kinds of existing fault tolerance techniques. We devise a strategy, based on proactive fault tolerance and take appropriate step, if any possibility for fault occurrence. Scheduling of task on available resources, which is provided by GIS consider previous history of these resources. This will decrease the probability of faults, execution time, and increase the execution rate. Proposed strategy also uses technique of check pointing to reduce execution cost. To implement proposed strategy GridSim toolkit is used for simulation

A Survey of Cloud Computing Fault Tolerance: Techniques and Implementation

Cloud computing provides services as a type of Internet-based computing using data centers that contain servers, storage and networks. For this reason, the cloud computing its great potentials in low cost and on-demand services. In recent years, the end user is highly increased to utilize the services in cloud computing. However, the faulty of infrastructure, software and application are the major problem in cloud computing. Fault tolerance uses techniques that concerned to guarantee availability, reliability of critical services and application execution. This paper discusses the existing fault tolerance techniques and challenges to minimize failure impact on the system and application execution in cloud computing.

On Fault Tolerance of Resources in Computational Grids

Grid computing or computational grid is always a vast research field in academic, as well as in industry also. Computational grid provides resource sharing through multi-institutional virtual organizations for dynamic problem solving. Various heterogeneous resources of different administrative domain are virtually distributed through different network in computational grids. Thus any type of failure can occur at any point of time and job running in grid environment might fail. Hence fault tolerance is an important and challenging issue in grid computing as the dependability of individual grid resources may not be guaranteed. In order to make computational grids more effective and reliable fault tolerant system is necessary. The objective of this paper is to review different existing fault tolerance techniques applicable in grid computing. This paper presents state of the art of various fault tolerance technique and comparative study of the existing algorithms.

Instruction-Level Fault Tolerance Configurability

Due to modern technology trends such as decreasing feature sizes and lower voltage levels, fault tolerance (FT) is becoming increasingly important in computing systems. Several schemes have been proposed to enable a user to configure the FT at the application level, thereby enabling the user to trade stronger FT for performance or vice versa. In this paper, we propose supporting instruction-level rather than application-level configurability of FT, since different parts of some applications (e.g., multimedia) can have different reliability requirements. Weak or no FT will be applied to less critical parts, resulting in time and/or resource gains. These gains can be used to apply stronger FT techniques to the more critical parts; hence increasing the overall reliability. The paper shows how some existing FT techniques can be adapted to support instruction-level FT configurability, how a programmer can specify the desired FT level of the instructions, and how the compiler can manage it automatically. A comparison between the existing FT scheme EDDI (which duplicates all instructions) and the proposed approach is performed both at the kernel and at full application levels. The simulation results show that both the performance and the energy consumption are significantly improved (up to 50% at the kernel and up to 16% at full application level), while the fault coverage depends on the application. For the full application (JPEG encoder), our approach is only applied to one kernel in order to avoid increasing the programming effort significantly.