An efficient algorithm-based fault tolerance design using the weighted data-check relationship

2001 ◽  
Vol 50 (4) ◽  
pp. 371-383 ◽  
Author(s):  
Hee Yong Youn ◽  
Choong Gun Oh ◽  
Hyunseung Choo ◽  
Jin-Wook Chung ◽  
Dongman Lee
Keyword(s):  
Fault Tolerance ◽  
Efficient Algorithm ◽  
Tolerance Design ◽  
Weighted Data

A Method to Support Fault Tolerance Design in Service Oriented Computing Systems

2012 ◽  
pp. 362-376
Author(s):  
Domenico Cotroneo ◽  
Antonio Pecchia ◽  
Roberto Pietrantuono ◽  
Stefano Russo
Keyword(s):  
Fault Tolerance ◽  
Common Ground ◽  
Fault Injection ◽  
Failure Behavior ◽  
Tolerance Design ◽  
System Failure ◽  
Computing Systems ◽  
Service Oriented Computing ◽  
Service Oriented ◽  
Tailored Design

Service Oriented Computing relies on the integration of heterogeneous software technologies and infrastructures that provide developers with a common ground for composing services and producing applications flexibly. However, this approach eases software development but makes dependability a big challenge. Integrating such diverse software items raise issues that traditional testing is not able to exhaustively cope with. In this context, tolerating faults, rather than attempt to detect them solely by testing, is a more suitable solution. This paper proposes a method to support a tailored design of fault tolerance actions for the system being developed. This paper describes system failure behavior through an extensive fault injection campaign to figure out its criticalities and adopt the most appropriate countermeasures to tolerate operational faults. The proposed method is applied to two distinct SOC-enabling technologies. Results show how the achieved findings allow designers to understand the system failure behavior and plan fault tolerance.

A Method to Support Fault Tolerance Design in Service Oriented Computing Systems

2010 ◽  
Vol 1 (3) ◽  
pp. 75-89
Author(s):  
Domenico Cotroneo ◽  
Antonio Pecchia ◽  
Roberto Pietrantuono ◽  
Stefano Russo
Keyword(s):  
Fault Tolerance ◽  
Common Ground ◽  
Fault Injection ◽  
Failure Behavior ◽  
Tolerance Design ◽  
System Failure ◽  
Computing Systems ◽  
Service Oriented Computing ◽  
Service Oriented ◽  
Tailored Design

Service Oriented Computing relies on the integration of heterogeneous software technologies and infrastructures that provide developers with a common ground for composing services and producing applications flexibly. However, this approach eases software development but makes dependability a big challenge. Integrating such diverse software items raise issues that traditional testing is not able to exhaustively cope with. In this context, tolerating faults, rather than attempt to detect them solely by testing, is a more suitable solution. This paper proposes a method to support a tailored design of fault tolerance actions for the system being developed. This paper describes system failure behavior through an extensive fault injection campaign to figure out its criticalities and adopt the most appropriate countermeasures to tolerate operational faults. The proposed method is applied to two distinct SOC-enabling technologies. Results show how the achieved findings allow designers to understand the system failure behavior and plan fault tolerance.

scholarly journals A Study on Factors Contributing to Efficiency of Scheduling Algorithms in a Cloud Computing Environment; Overview of Several Algorithms

2015 ◽  
Vol 37 ◽  
pp. 427
Author(s):  
Minoo Soltanshahi ◽  
Aliakbar Niknafs
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Efficient Algorithm ◽  
System Performance ◽  
Scheduling Algorithms ◽  
Cloud Environment ◽  
Computing Environment ◽  
Shared Resources ◽  
Cloud Computing Environment ◽  
Tremendous Impact

Cloud computing is the latest distributed technology providing a rich environment of dynamically shared resources through virtualization, which can fulfill the requirements of users by allocating resources to programs. Any program in a cloud environment is delivered by workflows which are a series of interlinked tasks to accomplish a goal. One of the most important tasks in cloud computing is correct mapping of tasks onto resources. It is essential to schedule processes in distributed systems such as cloud, since it leaves a tremendous impact on the system performance. This is done by scheduling algorithms. Therefore, it is crucial to present and adopt an efficient algorithm in the cloud environment. This article attempted to examine the parameters effective in the efficiency of scheduling algorithms including deadline, cost constraint, balanced loading, power consumption and fault tolerance. Additionally, the performances of several algorithms were briefly discussed.

An Efficient Fault-Tolerance Design for Integer Parallel Matrix–Vector Multiplications

2018 ◽  
Vol 26 (1) ◽  
pp. 211-215 ◽  
Author(s):  
Zhen Gao ◽  
Qingqing Jing ◽  
Yumeng Li ◽  
Pedro Reviriego ◽  
Juan Antonio Maestro
Keyword(s):  
Fault Tolerance ◽  
Tolerance Design ◽  
Matrix Vector
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