Adaptive Fault-Tolerance by Exposing Service Request Process as First-Class Object in Pervasive Computing

2010 ◽  
Author(s):  
Yongzhi Yang ◽  
Dianxi Shi ◽  
Peng Zou ◽  
Xiang Rao
Keyword(s):  
Fault Tolerance ◽  
Pervasive Computing ◽  
Service Request

scholarly journals The Relationship Between Probabilistic Methodologies and Pervasive Computing

2019 ◽  
Vol 8 (9S3) ◽  
pp. 1202-1204
Keyword(s):  
Fault Tolerance ◽  
Pervasive Computing ◽  
State Of The Art ◽  
Byzantine Fault Tolerance ◽  
Byzantine Fault ◽  
The Relationship ◽  
New System ◽  
The Web

Byzantine adaptation to non-critical failure and RPCs, while run of the mill in principle, has not up to this point been viewed as common. Indeed, few specialists would differ with the change of symmetric ncryption, which exemplifies the confounding standards of evoting innovation. Heep, our new system for productive hypothesis, is the answer for these issues.The exploration of the lookaside buffer has synthesized the partition table, and state-of-the-art-day tendencies advise that the analysis of the section identification divide can quickly emerge. years of relevant studies into gigabit switches, we tend to ensure the preparation of the web. On this perform paper, we tend to encourage a novel procedure for the investigation of Byzantine fault tolerance, disproving that get entry to aspects and multi processors are under no circumstances incompatible

scholarly journals Resource Management in a Pervasive Computing Environment

2020 ◽  
pp. 29-39
Author(s):  
Promise A. Nlerum ◽  
Edward E. Ogheneovo
Keyword(s):  
Fault Tolerance ◽  
Resource Management ◽  
Pervasive Computing ◽  
Resource Availability ◽  
Computing System ◽  
Computing Environment ◽  
Management Architecture ◽  
Resource Binding ◽  
High Degree ◽  
Ambient Calculus

A pervasive computing system provides for the interaction of people, devices and applications in a seamless and transparent manner in a pervasive computing environment. There is a great need for the management of basic resources in this environment. In this paper, we present a resource management architecture that provides for a seamless interaction among pervasive elements using ambient calculus and a publish/subscribe mechanism. Ambient calculus has been used to explore resource interaction and participation in a pervasive computing environment. A resource classifier component is introduced in the architecture that performs resource binding to specific applications. Results show that Ambient calculus offers a convenient and flexible representation of resource availability, usage transparency and management. By incorporating publish subscribe and resource classifier components into the ambient model, our system has shown a high degree of scalability, flexibility, and fault tolerance.

scholarly journals Fault Tolerance and QoS based Pervasive Computing using Markov State Transition Model

2018 ◽  
Vol 7 (4) ◽  
pp. 2403
Author(s):  
Beaulah David ◽  
Dr R. Santhosh
Keyword(s):  
Fault Tolerance ◽  
Pervasive Computing ◽  
Consumption Rate ◽  
State Transition ◽  
Fault Tolerant ◽  
Mobile Node ◽  
Mobile Nodes ◽  
Computing Environment ◽  
Link Failures ◽  
Energy Consumption Rate

Fault-tolerance is significant in pervasive computing environments. Recently, few research works has been developed for reducing the fault, occurring in pervasive computing. However, there is a need for a fault tolerance mechanism to reduce the link failures and unwanted mobile node access (in pervasive computing environment). In order to overcome these limitations, Markov State Transition Based Fault Tolerance (MST-FT) Model is proposed. The main objective of MST-FT Model is to achieve resource efficient QoS in pervasive computing environment by avoiding the link failures and unwanted mobile node usages. Initially, the optimization of link failures is achieved by maintaining Markov chain of high energy mobile nodes on the wireless network communication path. The mobile nodes with higher energy and minimal drain rate are combined to form a chain in its corresponding path of communication in order to minimize the link failures in pervasive computing. Next, the inappropriate mobile node usage is avoided by selecting only the authorized mobile nodes for Markov chain construction to effective network communication, which resulting in improved fault tolerant rate. Therefore, MST-FT Model provides higher resource efficient QoS as compared to existing works. The performance of MST-FT Model is measured in terms of fault tolerant rate, execution time, energy consumption rate and quality of service level. The simulation results show that the MST-FT Model is able to improve the fault tolerant rate by 13% and also reduces the energy consumption rate of resource efficient QoS by 25%, when compared to previous works.  

A Review on Load Balancing Model Using Best Partition Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 284
Author(s):  
M. Chaitanya ◽  
K. Durga Charan
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Load Balance ◽  
Large Impact ◽  
Cloud Environment ◽  
Public Cloud ◽  
The Public ◽  
Partition Technique ◽  
Textual Content

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.

A novel digital AGC algorithm based on fault tolerance probability

2014 ◽  
Author(s):  
Rugui Yao ◽  
Fanqi Gao ◽  
Ling Wang ◽  
Yinghui Wang
Keyword(s):  
Fault Tolerance
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