Publication | Closed Access
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50
Citations
20
References
2018
Year
Unknown Venue
Cluster ComputingLoad Balancing (Computing)EngineeringDynamic Resource AllocationOltp Database SystemsComputer ArchitectureCloud Load BalancingOperations ResearchMany Oltp ApplicationsData ScienceSystems EngineeringData ManagementCapacity ManagementLoad BalancingComputer ScienceCloud ComputingPeak LoadBusinessResource Allocation
OLTP database systems are a critical part of the operation of many enterprises. Such systems are often configured statically with sufficient capacity for peak load. For many OLTP applications, however, the maximum load is an order of magnitude larger than the minimum, and load varies in a repeating daily pattern. It is thus prudent to allocate computing resources dynamically to match demand. One can allocate resources reactively after a load increase is detected, but this places additional burden on the already-overloaded system to reconfigure. A predictive allocation, in advance of load increases, is clearly preferable.
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