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High availability is a property of network resilience, the ability to "provide and maintain an acceptable level of service in the face of faults and challenges to normal operation." [ 3 ] Threats and challenges for services can range from simple misconfiguration over large scale natural disasters to targeted attacks. [ 4 ]
Network Load Balancing Services (NLBS) is a Microsoft implementation of clustering and load balancing that is intended to provide high availability and high reliability, as well as high scalability. NLBS is intended for applications with relatively small data sets that rarely change (one example would be web pages), and do not have long-running ...
Cloud load balancing is a type of load balancing that is performed in cloud computing. [1] 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.
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.
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.
Round-robin DNS is a technique of load distribution, load balancing, or fault-tolerance provisioning multiple, redundant Internet Protocol service hosts, e.g., Web server, FTP servers, by managing the Domain Name System's (DNS) responses to address requests from client computers according to an appropriate statistical model.
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.
Availability zones are typically geographically separated from one another, to prevent local disasters from acting on more than one availability zone. Some service providers also make higher-level regional distinctions between availability zones, allowing service providers to mitigate even regional-level disasters such as earthquakes and forest ...