Scalability describes a system's ability to utilize additional resources for an increase in system capacity to perform additional work. The system capacity is important in achieving maximum scalability. There are two types of Scalability: 'scale-up' and 'scale-out'.
Scale-up: It enables the data platform to support the increasing numbers of users, or applications, taking SSAS abundance of internal optimization and performance tuning techniques to support the system resource utilization.
Scale-out: It provides the path to inherent limitation in a scale-up architecture, increasing server performance by fine-tuning the worker threads, pre-allocation of memory, and disk resource allocation. It purely depends on the technology limits of Symmetric Multi-Processing (SMP) scalability.
While most server applications today can scale up to eight logical processors, it is possible to ramp up Analysis Services with 16, or 32 logical processors. This...