scholarly journals Transient-Snapshot based Minimum-process Synchronized Check pointing Etiquette for Mobile Distributed Systems

2021 ◽  
Vol 10 (4) ◽  
pp. 2861-2866
Keyword(s):  
Distributed Systems ◽  
Fault Tolerance ◽  
Distributed System ◽  
Mobile Systems ◽  
Message Complexity ◽  
In The Beginning ◽  
Bare Minimum

Minimum-process harmonized checkpointing is well thought-out an attractive methodology to acquaint with fault tolerance in mobile systems patently. We design a minimum- process synchronous checkpointing algorithm for mobile distributed system. We try to minimize the intrusion of processes during checkpointing. We collect the transitive dependencies in the beginning, and therefore, the obstructive time of processes is bare minimum. During obstructive period, processes can do their normal computations, send messages and can process selective messages. In case of failure during checkpointing, all applicable processes are necessitated to abandon their transient snapshots only. In this way, we try to reduce the loss of checkpointing effort when any process fails to take its checkpoint in coordination with others. We also try to minimize the harmonization message complexity during checkpointing.

scholarly journals State of Art Survey for Fault Tolerance Feasibility in Distributed Systems

2021 ◽  
pp. 19-34
Author(s):  
Arshad A. Hussein ◽  
Adel AL-zebari ◽  
Naaman Omar ◽  
Karwan Jameel Merceedi ◽  
Abdulraheem Jamil Ahmed ◽  
...  
Keyword(s):  
Distributed Systems ◽  
Fault Tolerance ◽  
Distributed System ◽  
Recent Literature ◽  
High Availability ◽  
Daily Activities ◽  
Service Availability ◽  
System Failures ◽  
Distributed Services ◽  
Use Of Technology

The use of technology has grown dramatically, and computer systems are now interconnected via various communication mediums. The use of distributed systems (DS) in our daily activities has only gotten better with data distributions. This is due to the fact that distributed systems allow nodes to arrange and share their resources across linked systems or devices, allowing humans to be integrated with geographically spread computer capacity. Due to multiple system failures at multiple failure points, distributed systems may result in a lack of service availability. to avoid multiple system failures at multiple failure points by using fault tolerance (FT) techniques in distributed systems to ensure replication, high redundancy, and high availability of distributed services. In this paper shows ease fault tolerance systems, its requirements, and explain about distributed system. Also, discuss distributed system architecture; furthermore, explain used techniques of fault tolerance, in additional that review some recent literature on fault tolerance in distributed systems and finally, discuss and compare the fault tolerance literature.

scholarly journals Survey on replication techniques for distributed system

2019 ◽  
Vol 9 (2) ◽  
pp. 1298
Author(s):  
Ahmad Shukri Mohd Noor ◽  
Nur Farhah Mat Zian ◽  
Fatin Nurhanani M. Shaiful Bahri
Keyword(s):  
Distributed Systems ◽  
Fault Tolerance ◽  
Distributed System ◽  
Triangular Grid ◽  
Critical Element ◽  
Dynamic Nature ◽  
Wide Range ◽  
The Subject ◽  
Quorum Consensus ◽  
Computational Resources

<p>Distributed systems mainly provide access to a large amount of data and computational resources through a wide range of interfaces. Besides its dynamic nature, which means that resources may enter and leave the environment at any time, many distributed systems applications will be running in an environment where faults are more likely to occur due to their ever-increasing scales and the complexity. Due to diverse faults and failures conditions, fault tolerance has become a critical element for distributed computing in order for the system to perform its function correctly even in the present of faults. Replication techniques primarily concentrate on the two fault tolerance manners precisely masking the failures as well as reconfigure the system in response. This paper presents a brief survey on different replication techniques such as Read One Write All (ROWA), Quorum Consensus (QC), Tree Quorum (TQ) Protocol, Grid Configuration (GC) Protocol, Two-Replica Distribution Techniques (TRDT), Neighbour Replica Triangular Grid (NRTG) and Neighbour Replication Distributed Techniques (NRDT). These techniques have its own redeeming features and shortcoming which forms the subject matter of this survey.</p>

MobileRE: A replicas prioritized hybrid fault tolerance strategy for mobile distributed system

2021 ◽  
pp. 102217
Author(s):  
Yu Wu ◽  
Duo Liu ◽  
Xianzhang Chen ◽  
Jinting Ren ◽  
Renping Liu ◽  
...  
Keyword(s):  
Fault Tolerance ◽  
Distributed System ◽  
Tolerance Strategy

XERIS/APEX

2021 ◽  
Vol 40 (2) ◽  
pp. 65-69
Author(s):  
Richard Wai
Keyword(s):  
Distributed Systems ◽  
Real Time ◽  
Distributed System ◽  
Dynamic Scaling ◽  
Distributed Application ◽  
Heavy Weight ◽  
System Models ◽  
In The Wild ◽  
On Line ◽  
Language Technologies

Modern day cloud native applications have become broadly representative of distributed systems in the wild. However, unlike traditional distributed system models with conceptually static designs, cloud-native systems emphasize dynamic scaling and on-line iteration (CI/CD). Cloud-native systems tend to be architected around a networked collection of distinct programs ("microservices") that can be added, removed, and updated in real-time. Typically, distinct containerized programs constitute individual microservices that then communicate among the larger distributed application through heavy-weight protocols. Common communication stacks exchange JSON or XML objects over HTTP, via TCP/TLS, and incur significant overhead, particularly when using small size message sizes. Additionally, interpreted/JIT/VM-based languages such as Javascript (NodeJS/Deno), Java, and Python are dominant in modern microservice programs. These language technologies, along with the high-overhead messaging, can impose superlinear cost increases (hardware demands) on scale-out, particularly towards hyperscale and/or with latency-sensitive workloads.

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