scholarly journals Fault-Tolerance Distributed Control Plane for Software Defined Networks

2019 ◽  
Vol 26 (1) ◽  
pp. 101-121
Author(s):  
Vasily N. Pashkov
Keyword(s):  
Fault Tolerance ◽  
Distributed Control ◽  
High Availability ◽  
Software Defined Networks ◽  
Control Plane ◽  
Switch Control ◽  
Control Transfer ◽  
Minimum Number ◽  
Single Controller ◽  
Active Switch

The architecture of the high availability distributed control plane for SDN/OpenFlow networks are considered. High availability is achieved by redundancy of controller instances, active switch-controller communications, computing resources and tools for a controller instance failure and overloading detection and recovery. The proactive backup controller allocation algorithm which allows to minimize the time to repair in the case of a single controller instance failure is discussed. The algorithm for controller load-balancing allows dynamically reconfigure the control plane with a minimum number of switch control transfer operations to avoid controller instance overloading. The initial experimental results of the proposed algorithms for the HA distributed SDN control plane are described.

A Hierarchical Distributed Control Plane for Path Computation Scalability in Large Scale Software-Defined Networks

2019 ◽  
Vol 16 (3) ◽  
pp. 1019-1031 ◽  
Author(s):  
Mohammed Amine Togou ◽  
Djabir Abdeldjalil Chekired ◽  
Lyes Khoukhi ◽  
Gabriel-Miro Muntean
Keyword(s):  
Distributed Control ◽  
Large Scale ◽  
Software Defined Networks ◽  
Control Plane ◽  
Path Computation

Cloud-Niagara: A high availability and low overhead fault tolerance middleware for the cloud

2014 ◽  
Author(s):  
Asif Imran ◽  
Alim Ul Gias ◽  
Rayhanur Rahman ◽  
Amit Seal ◽  
Tajkia Rahman ◽  
...  
Keyword(s):  
Fault Tolerance ◽  
High Availability

Increasing the resiliency of highly loaded systems

2020 ◽  
pp. 118-123
Author(s):  
В.А. Рудометкин
Keyword(s):  
Fault Tolerance ◽  
High Load ◽  
High Availability ◽  
Distributed Transactions ◽  
Microservice Architecture ◽  
To Receive ◽  
Processor Cores ◽  
Highly Loaded

В настоящее время большинство сервисов переходят в онлайн, что позволяет пользователям получать услугу в любое время. Высокая доступность услуги приводит к росту количества пользователей, что влечет за собой повышение нагрузки на систему, поэтому необходимо уделить особое внимание отказоустойчивости системы перед началом ее разработки. Рассматриваются основные проблемы высоконагруженных систем, способ оптимизации приложения путем распараллеливания задач по ядрам процессора. В данной статье описывается необходимость перехода на микросервисную архитектуру, ее недостатки и способы их устранения. В процессе решения проблем масштабирования, затрагиваются проблемы распределенных транзакций и долгого ответа от сервера. Nowadays, most of the services are moving online, which allows users to receive the service at any time. The high availability of the service leads to an increase in the number of users, which entails an increase in the load on the system, therefore, it is necessary to pay special attention to the fault tolerance of the system before starting its development. The main problems of high-load systems, a way to optimize an application by parallelizing tasks across processor cores are considered. This article describes the need to migrate to a microservice architecture, its weaknesses, and how to fix them. In the process of solving scaling problems, the problems of distributed transactions and long response from the server are addressed.

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