Fault tolerant software systems using software configurations for cloud computing

Abstract

Customizable software systems consist of a large number of different, critical, non-critical and interdependent configurations. Reliability and performance of configurable system depend on successful completion of communication or interactions among its configurations. Most of the time users of configurable systems very often use critical configurations than non-critical configurations. Failure of critical configurations will have severe impact on system reliability and performance. We can overcome this problem by identifying critical configurations that play a vital role, then provide a suitable fault tolerant candidate to each critical configuration. In this article we have proposed an algorithm that identifies optimal fault tolerant candidate for every critical configuration of a software system. We have also proposed two schemes to classify configurations into critical and non-critical configurations based on: 1) Frequency of configuration interactions (IFrFT), 2) Characteristics and frequency of interactions (ChIFrFT). These schemes have played very important role in achieving reliability and fault tolerance of a software system in a cost effective manner. The percentage of successful interactions of IFrFT and ChIFrFT are 25 and 40% higher than that of the NoFT scheme. In NoFT scheme none of the configurations are supported by fault tolerance candidates. Performance of IFrFT, ChIFrFT, and NoFT schemes are tested using a file structure system.

Fault Tolerant Load Balancing with Quadruple Osmotic Hybrid Classifier and Whale Optimization for Cloud Computing

“…In [3], first critical configurations were first identified next a fault tolerant candidate was identified, therefore, resulting in the improvement of successful interactions. A Dynamic Fault Tolerant VM Migration (DFTM) method was designed in [4] for providing infrastructure reliability via advanced recovery mechanism.…”

“…The novelty of Quadruple Fault Tolerance Level is introduced for assigning the fault tolerance level. 3. A novel Osmotic Hybrid Vector Classifier (OHVC) model is proposed where the classification of node and task is made.…”

Aggressive Fault Tolerance in Cloud Computing Using Smart Decision Agent

“…On the other hand memory faults and other faults are discussed in [17,18]. The software faults are software state transition faults, early and late timing faults, timing overhead, protocol incompatibilities, data fault, logical fault, numerical exception, operating system faults, link timeout fault, user defined exception and unhandled exception faults [19,20]. The communication faults are sending and receiving omission faults, early or late timing faults, packet corruption and packet loss faults [21].…”

“…Chinnaiah and Niranjan [20] proposed algorithm that achieved reliability for depth critical configuration of a software system. They explained different critical configurations of system and observed the effects of fault tolerance.…”

Machine Learning for Cloud Security: A Systematic Review

“…It is considered to be the conversion of a long-lasting dream called "Computing for Use" and it is being gradually embraced by organizations as private, public or hybrid Clouds [2]- [4] . Its main objective is to let users use and pay for what they want, promising on-demand services for their software or infrastructure needs [5]- [7] Although Cloud computing is seen as a significant and positive IT infrastructure shift, much security work is still needed to minimize its deficiencies. Since a significant amount of personal and corporate information is placed in the Cloud data centers, those Cloud security issues and vulnerabilities need to be identified and prevented.…”