This is a continuation of the earlier posts starting with this one: http://ravinote.blogspot.com/2020/09/best-practice-from-networking.html
Automatic load balancing can now be built on a range-based partitioning approach and account-based throttling. This improves multi-tenancy in the environment as well as the handling of peaks in traffic patterns.
The algorithm for load-balancing can even be adaptive based on choosing appropriate metrics to determine traffic patterns that are well-known. We start with a single number to quantify load on each partition and each server and then use the product of request latency and request rate to represent loads.
Memory allocation is a very common practice in the data path. The correct management of memory is required for programming as well as performance. A context-based memory allocator is often used. It involves the following steps: A context is created with a given name or type. A chunk is allocated within a context. The chunk of memory is deleted within a context after use. The context is then deleted and then reset. Alternatively, some systems are implemented in languages with universal runtime and garbage collection to utilize the built-in collection and finalization.
Overheads may be reduced by not requiring as many calls to the kernel as there are user-based requests. It is often better to consolidate them in the bulk mode so that majority of the calls return in a shallow manner.
Administrators have often dealt with provisioning sufficient memory on all computing resources associated with a networking product. With t-shirt sized commodity virtual machines, this is only partially addressed because that only specifies the physical memory. Virtual memory and its usage must be made easier to query so that corrective measures may be taken.
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