scholarly journals Reliability Framework for Cloud Virtual Nodes using Fault Tolerance Techniques

2019 ◽  
Vol 9 (1) ◽  
pp. 7586-7593
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Real Time ◽  
Cloud Infrastructure ◽  
Tolerance Mechanism ◽  
Time System ◽  
Real Time System ◽  
Fine Grained ◽  
Decision Mechanism ◽  
Real Time Computing

Since cloud computing has numerous benefits and demands, it is much efficient performing real time computing in cloud infrastructure. This real time system takes benefits of scalable virtualized environment and intensive cloud computing capabilities for executing real time tasks. Most of the real time applications undergone its processing stage on remote cloud computing nodes. Here chances of error occurrence is also higher due to undecided latency. And it is necessary that the safety critical applications should have higher reliability. To determine whether the fault tolerance mechanism is having the higher reliability and availability or not. This paper proposes an efficient adaptive fault tolerance mechanism through reliability assessment architecture to enhance the reliability of the system. The decision mechanism is also proposed in this scheme to improve the efficiency a bit higher than normal scheme. At last the fine grained check point algorithm is utilized for reducing the latency. Thus from the analysis of the data it is proved that the execution time of proposed method hikes when compared to other conventional schemes.

scholarly journals Architectural Framework for Cloud Reliability Model using Fault Tolerance Techniques

2019 ◽  
Vol 8 (11) ◽  
pp. 515-519
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Real Time ◽  
Data Storage ◽  
Threshold Value ◽  
Fine Grained ◽  
Storage Servers ◽  
Architectural Framework ◽  
Cloud Technologies ◽  
Reliability And Availability

Cloud Computing is an essential podium for workable and impracticable users. It achieves high quality reliable services provided to the users via data storage servers. The key challenge in cloud architecture is to run the facilities without any hazel to the users. In today’s world of information technology, most of the applications are real time. The major constraint of the systems used in real time applications is that, they are prone to failure. The failure may be due to the following reasons: a) Failure to complete the task in prescribed time threshold value. b) Failure to achieve prescribed reliability value. Virtualization and Internet-based Cloud computing causes diverse types of failures to occur and so necessity for reliability and availability have turn out to be of vital concern. To ensure reliability and availability of cloud technologies, methods for fault tolerance need to be developed and deployed. The proposed work will focus on adaptive behavior during the assortment of replication and fine-grained check pointing methods for achieving a reliable cloud platform that can grip diverse client requests. In addition to this, the proposed work will also conclude the best suitable fault tolerance scheme to each chosen virtual machine.

Replication and Resubmission Based Adaptive Decision for Fault Tolerance in Real Time Cloud Computing

2016 ◽  
Vol 7 (2) ◽  
pp. 46-60 ◽  
Author(s):  
Prasenjit Kumar Patra ◽  
Harshpreet Singh ◽  
Rajwinder Singh ◽  
Saptarshi Das ◽  
Nilanjan Dey ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Fault Tolerance ◽  
Real Time ◽  
Cloud Infrastructure ◽  
Reliability Factor ◽  
On Demand ◽  
Computing Node ◽  
Computing Infrastructure ◽  
Demand Service

Cloud computing an adoptable technology is the upshot evolution of on demand service in the computing epitome of immense scale distributed computing. With the raising asks and welfares of cloud computing infrastructure, society can take leverage of intensive computing capability services and scalable, virtualized vicinity of cloud computing to carry out real time tasks executed on a remote cloud computing node. Due to the indeterminate latency and minimal control over computing node, sway the reliability factor. Therefore, there is a raise of requisite for fault tolerance to achieve reliability in the real time cloud infrastructure. In this paper, a model which provides fault tolerance named “Replication and resubmission based adaptive decision for fault tolerance in real-time cloud computing (RRADFTRC)” for real time cloud computing is projected with result. In the projected model, the system endure the faults and makes the adaptive decision on the basis of proper resource allocation of tasks with a new style of approach in real time cloud vicinity.

scholarly journals Reliability of Fault Tolerance in Cloud using Machine Learning Algorithm

2019 ◽  
Vol 8 (12) ◽  
pp. 1150-1152
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Real Time ◽  
Learning Algorithm ◽  
Error Processing ◽  
Cloud Infrastructure ◽  
Processing Stage ◽  
The Real ◽  
Constant Operation ◽  
Latent Error

The basic fault tolerance issues seen in cloud computing are identification and recovery. To fight with these issues, so many fault tolerance methods have been designed to decrease the faults. However, due to the reliability and web based service giving behavior, fault tolerance in cloud computing will be a huge challenge. The present model is not just on tolerating faults but also to decrease the possibility of future faults as well[4].The fault tolerance deals with the exact and constant operation of the fault segments. The processing on computing nodes can be done remotely in the real time cloud applications, so there could be more possibilities of errors. Hence there lies an immense necessity for fault tolerance to attain consistency to the real time computing on cloud infrastructure. The “fault tolerance” can be explained through fault processing that have two basic stages. The stages are (i) The effective error processing stage which is used to intended for carrying the “effective error” back to inactive state, i.e., before the error occurred (ii) The latent error processing stage intended for guaranteeing that the fault does not get effective once again.

Real-Time System for Sending Data from Three Clients to One Server with MATLAB

2015 ◽  
Vol 2 (1) ◽  
pp. 35-41
Author(s):  
Rivan Risdaryanto ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Information System ◽  
Real Time ◽  
Time System ◽  
Real Time System ◽  
The Real ◽  
Performance Time ◽  
Data Process ◽  
Effectiveness And Efficiency

The real-time system is now used on many fields, such as telecommunication, military, information system, evenmedical to get information quickly, on time and accurate. Needless to say, a real-time system will always considerthe performance time. In our application, we define the time target/deadline, so that the system should execute thewhole tasks under predefined deadline. However, if the system failed to finish the tasks, it will lead to fatal failure.In other words, if the system cannot be executed on time, it will affect the subsequent tasks. In this paper, wepropose a real-time system for sending data to find effectiveness and efficiency. Sending data process will beconstructed in MATLAB and sending data process has a time target as when data will send.

The Goal-Setting Model in a Multiagent Hard Real-Time System

Vestnik MEI ◽  
2018 ◽  
Vol 5 (5) ◽  
pp. 73-78
Author(s):  
Igor В. Fominykh ◽  
◽  
Sergey V. Romanchuk ◽  
Nikolay Р. Alekseev ◽  
◽  
...  
Keyword(s):  
Real Time ◽  
Goal Setting ◽  
Time System ◽  
Real Time System ◽  
Hard Real Time
Sign in / Sign up

Export Citation Format

Share Document