Component allocation for a distributed system: reliability maximization

1993 ◽  
Vol 30 (2) ◽  
pp. 471-477 ◽  
Author(s):  
Mikhail Revyakov
Keyword(s):  
Distributed System ◽  
Convex Functions ◽  
System Reliability ◽  
Optimal Allocation ◽  
System Structure ◽  
External Influences ◽  
Component Allocation ◽  
Schur Convex ◽  
Superadditive Functions

An optimal allocation of subsystems depending on the system structure and reliability ordering of inherent subsystem components is determined, in the presence of various external influences on the reliability of components in different locations. It is carried out with the help of L-superadditive functions and Schur-convex functions.

Component allocation for a distributed system: reliability maximization

1993 ◽  
Vol 30 (02) ◽  
pp. 471-477
Author(s):  
Mikhail Revyakov
Keyword(s):  
Distributed System ◽  
Convex Functions ◽  
System Reliability ◽  
Optimal Allocation ◽  
System Structure ◽  
External Influences ◽  
Component Allocation ◽  
Schur Convex ◽  
Superadditive Functions

An optimal allocation of subsystems depending on the system structure and reliability ordering of inherent subsystem components is determined, in the presence of various external influences on the reliability of components in different locations. It is carried out with the help of L-superadditive functions and Schur-convex functions.

Optimal Allocation of Components in k-out-of-R Parallel Modules Systems

1994 ◽  
Vol 8 (3) ◽  
pp. 435-441 ◽  
Author(s):  
Fan Chin Meng
Keyword(s):  
System Reliability ◽  
Optimal Allocation ◽  
Parallel Systems ◽  
Coherent Systems ◽  
Special Case

In this note using the notion of node criticality in Boland, Proschan, and Tong [2] and modular decompositions of coherent systems, we obtain algorithms and guidelines for allocating components in a k-out-of-R parallel modules system to maximize the system reliability. An illustrative example is given to compare a special case of our results with the previous result for series-parallel systems due to El-Neweihi, Proschan, and Sethuraman [5].

Importance measures for degrading components based on cooperative game theory

2019 ◽  
Vol 37 (2) ◽  
pp. 189-206
Author(s):  
Yingsai Cao ◽  
Sifeng Liu ◽  
Zhigeng Fang
Keyword(s):  
Cooperative Game ◽  
Shapley Value ◽  
System Reliability ◽  
Design Methodology ◽  
System Structure ◽  
Importance Measure ◽  
Engineering Systems ◽  
Content Type ◽  
Timely Feedback ◽  
Degradation Models

Purpose The purpose of this paper is to propose new importance measures for degrading components based on Shapley value, which can provide answers about how important players are to the whole cooperative game and what payoff each player can reasonably expect. Design/methodology/approach The proposed importance measure characterizes how a specific degrading component contributes to the degradation of system reliability by using Shapley value. Degradation models are also introduced to assess the reliability of degrading components. The reliability of system consisting independent degrading components is obtained by using structure functions, while reliability of system comprising correlated degrading components is evaluated with a multivariate distribution. Findings The ranking of degrading components according to the newly developed importance measure depends on the degradation parameters of components, system structure and parameters characterizing the association of components. Originality/value Considering the fact that reliability degradation of engineering systems and equipment are often attributed to the degradation of a particular or set of components that are characterized by degrading features. This paper proposes new importance measures for degrading components based on Shapley value to reflect the responsibility of each degrading component for the deterioration of system reliability. The results are also able to give timely feedback of the expected contribution of each degrading component to system reliability degradation.

scholarly journals Implementing Replication of Objects in DOORS—The Object-Oriented Runtime System for Edge Computing

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7883
Author(s):  
Dorin Palanciuc ◽  
Florin Pop
Keyword(s):  
Distributed System ◽  
Scale Up ◽  
Object Oriented ◽  
Edge Computing ◽  
System Structure ◽  
Runtime System ◽  
Basic Set ◽  
And Behavior ◽  
Object Replication

Aiming for simplicity and efficiency in the domain of edge computing, DOORS is a distributed system expected to scale up to hundreds of nodes, which encapsulates application state and behavior into objects and gives them the ability to exchange asynchronous messages. DOORS offers semi-synchronous replication and the ability to explicitly move objects from one node to another, as methods to achieve scalability and resilience. The present paper gives an outline of the system structure, describes how DOORS implements object replication, and describes a basic set of measurements, yielding an initial set of conclusions for the improvements of the design.

Risk Based Acceptance Criteria for Joints Subject to Fatigue Deterioration

2004 ◽  
Vol 127 (2) ◽  
pp. 150-157 ◽  
Author(s):  
Daniel Straub ◽  
Michael Havbro Faber
Keyword(s):  
Fatigue Failure ◽  
System Reliability ◽  
Failure Modes ◽  
Optimal Allocation ◽  
Influence Factor ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Revealed Preferences ◽  
Acceptance Criteria ◽  
The Individual

Different approaches to determine the acceptance criteria for fatigue induced failure of structural systems and components are discussed and compared. The considered approaches take basis in either optimization (societal cost-benefit analysis) or are derived from past and actual practice or codes (revealed preferences). The system acceptance criteria are expressed in terms of the maximal acceptable annual probability of collapse due to fatigue failure. Acceptance criteria for the individual fatigue failure modes are then derived using a simplified system reliability model. The consequence of fatigue failure of the individual joints is related to the overall system by evaluating the change in system reliability given fatigue failure. This is facilitated by the use of a simple indicator, the Residual Influence Factor. The acceptance criteria is thus formulated as a function of the system redundancy and complexity. In addition, the effect of dependencies in the structure on the acceptance criteria are investigated. Finally an example is presented where the optimal allocation of the risk to different welded joints in a jacket structure is performed by consideration of the necessary maintenance efforts.

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