Search results
Results from the WOW.Com Content Network
Cloud load balancing is the process of distributing workloads across multiple computing resources. Cloud load balancing reduces costs associated with document management systems and maximizes availability of resources. It is a type of load balancing and not to be confused with Domain Name System (DNS) load balancing.
Availability of parallel components = 1 - (1 - X)^ N 10 hosts, each having 50% availability. But if they are used in parallel and fail independently, they can provide high availability. So for example if each of your components has only 50% availability, by using 10 of components in parallel, you can achieve 99.9023% availability.
Usually, load balancers are implemented in high-availability pairs which may also replicate session persistence data if required by the specific application. [13] Certain applications are programmed with immunity to this problem, by offsetting the load balancing point over differential sharing platforms beyond the defined network.
In information technology, high-availability application architecture is a process followed when implementing a new application into an existing business-wide computer system or ERP while minimizing downtime. ff The architecture contains three stages: development, quality assurance, and production.
High availability is a high percentage of time that the system is functioning. It can be formally defined as (1 – (down time/ total time))*100%. Although the minimum required availability varies by task, systems typically attempt to achieve 99.999% (5-nines) availability.
HAProxy is a free and open source software that provides a high availability load balancer and Proxy (forward proxy, [2] reverse proxy) for TCP and HTTP-based applications that spreads requests across multiple servers. [3] It is written in C [4] and has a reputation for being fast and efficient (in terms of processor and memory usage). [5]
Network load balancing is the ability to balance traffic across two or more WAN links without using complex routing protocols like BGP.. This capability balances network sessions like Web, email, etc. over multiple connections in order to spread out the amount of bandwidth used by each LAN user, thus increasing the total amount of bandwidth available.
Objectives of load testing: - To ensure that the system meets performance benchmarks; - To determine the breaking point of the system; - To test the way the product reacts to load-induced downtimes. As an example, a website with shopping cart capability is required to support 100 concurrent users broken out into the following activities: