Comparative Tests of Decision Making Algorithms for a Multiversion Execution Environment of the Fault Tolerance Software

Different mechanisms have been proposed to solve opportunistic spectrum access (OSA). In order to address spectrum management efficiently, these mechanisms can be divided into four main functionalities, spectrum sensing, decision-making, sharing, and mobility. These functionalities depend on the interpretation and adaptation of different parameters, for example, sensing and data interpretation for adaptive modulation, power adjustments, and changes regarding the range of frequency operation. For the decision-making function, a novel approach is proposed in which coding information is added to the establishment of the communication process thus assisting the medium access control (MAC). The presence of cognitive radio devices in the network coverage range can be controlled or coordinated by using specific redundancy codes. Hence, Reed Solomon (RS) code is used in this paper as part of the handshaking process to provide error correction. In addition, a redundancy strategy based on Rabin’s information dispersal algorithm (IDA) is presented to provide fault tolerance to the communication between cognitive radio devices. In this case, the information is divided into fragments dynamically, and each fragment is coded by an RS code and reassigned to a subset of recipients using alternate paths. This work shows how to optimize spectrum access based on IDA and RS codes to diversify channel occupation without losing significant information with several frequency hops presented in cognitive radio communications. The validations were executed in a discrete event simulator developed in Python. The proposed system for OSA was found to perform better than other approaches using pilot sequences. Our proposal, therefore, provides fault tolerance, to diversify channel occupation, and helps identify the presence of primary and secondary users when a common control channel (CCC) is implemented by the optimization of the spectrum use.

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Fault tolerance features of a new multi-SPMD programming/execution environment

Proceedings of the First International Workshop on Extreme Scale Programming Models and Middleware - ESPM '15 ◽

10.1145/2832241.2832243 ◽

2015 ◽

Cited By ~ 1

Author(s):

Miwako Tsuji ◽

Serge Petiton ◽

Mitsuhisa Sato

Keyword(s):

Fault Tolerance ◽

Execution Environment

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Big Data and Shipping-managing vessel performance

JOIV International Journal on Informatics Visualization ◽

10.30630/joiv.2.2.116 ◽

2018 ◽

Vol 2 (2) ◽

pp. 73

Author(s):

Mandeep Virk ◽

Vaishali Chauhan

Keyword(s):

Machine Learning ◽

Decision Making ◽

Big Data ◽

Fault Tolerance ◽

High Rate ◽

Shipping Industry ◽

Large Sets ◽

Huge Data ◽

Reliable Performance ◽

Increasing Demand

Shipping business is staggering the trade by a substantial number which portrays the usage of leading technologies to deliver formative and reliable performance to deal with the increasing demand. Technologies like AIS, machine learning, and IoT are making a shift in shipping industry by introducing robots and more sensor equipped devices. The hitch big data originates as a technology which is proficient for assembling and transforming the colossal and divergent figures of data providing organizations with meaningful insights for better decision-making. The size of data is increasing at a higher rate because of the procreation of peripatitic gadgets and sensors attached. Big data is accustomed to delineate technologies and techniques which are used to store, manage, distribute and analyze huge data sheets with a high rate of data occurrence. This gigantic data is allowing to terminate the business by developing meaningful and valuable insights by processing the data. Hadoop is the fundamental basic for composing big data and furnishes with convenient judgments through analysis. It enables the processing of large sets of data by providing a higher degree of fault-tolerance. Parallelism is adapted to process big size of data in the efficient and inexpensive way. Contending massive bulk of data is a determined and vigorous assignment that needs an enormous crunching armature to guaranty affluent data processing and analysis.

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Comparison of Methodologies for Increasing Software Fault Tolerance in a Simulation Execution Environment

INFORMACIONNYE TEHNOLOGII ◽

10.17587/it.25.20-25 ◽

2019 ◽

Vol 25 (1) ◽

pp. 20-25

Author(s):

M. V. Saramud ◽

◽

I. V. Kovalev ◽

V. V. Losev ◽

M. O. Petrosyan ◽

...

Keyword(s):

Fault Tolerance ◽

Software Fault Tolerance ◽

Execution Environment ◽

Software Fault

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Discarding optimality: Throwing out the baby with the bathwater?

Behavioral and Brain Sciences ◽

10.1017/s0140525x18001401 ◽

2018 ◽

Vol 41 ◽

Cited By ~ 1

Author(s):

Patrick Simen ◽

Fuat Balcı

Keyword(s):

Decision Making ◽

Perceptual Decision Making ◽

Reward Rate ◽

Perceptual Decision ◽

Standard Observer ◽

Rate Maximization ◽

Reward Rate Maximization ◽

Descriptive Standard ◽

Observer Model

AbstractRahnev & Denison (R&D) argue against normative theories and in favor of a more descriptive “standard observer model” of perceptual decision making. We agree with the authors in many respects, but we argue that optimality (specifically, reward-rate maximization) has proved demonstrably useful as a hypothesis, contrary to the authors’ claims.

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LPCD framework: Analytical tool or psychological model?

Behavioral and Brain Sciences ◽

10.1017/s0140525x18001383 ◽

2018 ◽

Vol 41 ◽

Author(s):

David Danks

Keyword(s):

Decision Making ◽

Analytical Tool ◽

Mathematical Framework ◽

Bayesian Decision ◽

Perceptual Decision Making ◽

Psychological Model ◽

Psychological Reality ◽

Psychological Theories ◽

Target Article ◽

Bayesian Decision Making

AbstractThe target article uses a mathematical framework derived from Bayesian decision making to demonstrate suboptimal decision making but then attributes psychological reality to the framework components. Rahnev & Denison's (R&D) positive proposal thus risks ignoring plausible psychological theories that could implement complex perceptual decision making. We must be careful not to slide from success with an analytical tool to the reality of the tool components.

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Elaborating the role of reflection and individual differences in the study of folk-economic beliefs

Behavioral and Brain Sciences ◽

10.1017/s0140525x18000274 ◽

2018 ◽

Vol 41 ◽

Author(s):

Kevin Arceneaux

Keyword(s):

Decision Making ◽

Individual Differences ◽

Cognitive Processes ◽

Evolutionary History ◽

Behavioral Responses ◽

History Of ◽

Economic Beliefs

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.

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