Aggressive Fault Tolerance in Cloud Computing Using Smart Decision Agent

Abstract

Application of cloud computing is increasing gradually. It is a useful model for a collection of configurable computing resources such as data-centers, servers, data storage and application services in real-time. Due to the emergence of cloud computing, providing reliable service becomes vital issue. Transient faults may affect temporary unavailability of services and timeout to get response. These types of faults can be catastrophic in cloud applications such as, scientific research, financial and safety critical applications. To reduce the effect of such errors, a fault tolerant mechanism is required. We propose an aggressive fault tolerant (AFT) technique to detect and recover from faults in cloud environment. Aggressive fault detection and recovery module detects faults and recovers from these faults using a smart decision agent. A smart decision agent takes decision on different types of hardware, software and communication faults. It reduces complexity and improves performance of fault tolerant schemes compared with other existing techniques such as checkpointing, resubmission and replication techniques. The proposed scheme achieves 98.7% error coverage while it is 1.5 times faster than checkpointing, 2.0 times faster than resubmission and 2.5 times faster than replication technique.

Fault‐tolerance approaches for distributed and cloud computing environments: A systematic review, taxonomy and future directions

“…The second approach provides fault tolerance by integrating reactive and adaptive approaches. Rahman et al 144 • Performance degrades et al 152 presented an energy-aware proactive fault-tolerant scheduling mechanism for cloud computing based on Artificial Intelligence. The proposed framework consists of two steps, that is, predicting the probability of task failure based on a model trained using DNN and scheduling the predicted task to the most suitable hosts.…”

“…The second approach provides fault tolerance by integrating reactive and adaptive approaches. Rahman et al 144 introduced an intelligent decision agent‐based technique for detection and recovery from faults in cloud systems. The given approach combines replication, checkpointing, and resubmission with a smart agent, which decides to select one of the fault tolerance approaches based on fault types.…”

A New Fault-Tolerant Algorithm Based on Replication and Preemptive Migration in Cloud Computing

“…The scalability and computational overhead of the proposed approach have not been evaluated. To reduce the effect of transient failures, the authors of [26] proposed an aggressive fault tolerance approach in a cloud environment to detect and recover from failures. An intelligent decision agent is used by the aggressive fault detection and recovery module to detect and recover from faults.…”

Leveraging Distributed Systems for Fault-Tolerant Cloud Computing: A Review of Strategies and Frameworks

“…• Fault Tolerance Parameters in Cloud Computing: Different parameters are used to assess the efficiency and effectiveness of fault tolerance approaches in cloud computing systems (Rahman & Rouf, 2022).These parameters, crucial for evaluating cloud system performance includes Adaptive, Response Time, Performance, Throughput, Reliability, Availability, Usability, Overhead. Table 1, provides an overview of common failures in computing systems, categorizing them into hardware, software, and network errors.…”