A Resilient Agent-Based Architecture for Efficient Usage of Transient Servers in Cloud Computing

Neto, José Pergentino Araújo; Pianto, Donald M.; Ralha, Célia Ghedini

doi:10.1109/cloudcom2018.2018.00050

Cited by 5 publications

(1 citation statement)

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“…Wang [29] proposed ARCMeas conforms system architecture, component system's reliability and sensitivity to ensure the effectiveness of recognizing the critical component systems to be settled a fault tolerance mechanism. Neto et al [30] work on resilient environment using intelligent agents and transient instances. A smart agent-based architecture provides an efficient approach to detects and protects the faults in cloud computing.…”

Section: Related Workmentioning

confidence: 99%

Aggressive Fault Tolerance in Cloud Computing Using Smart Decision Agent

Rahman

Rouf

2021

Lecture Notes on Data Engineering and Communications Technologies

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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.

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Section: Related Workmentioning

confidence: 99%