By Jan Schaffner
With the proliferation of Software-as-a-Service (SaaS) choices, it truly is turning into more and more very important for person SaaS prone to function their prone at a reasonable. This e-book investigates SaaS from the point of view of the supplier and exhibits how operational bills could be diminished by utilizing “multi tenancy,” a method for consolidating lots of clients onto a small variety of servers.
Specifically, the booklet addresses multi tenancy at the database point, targeting in-memory column databases, that are the spine of many vital new firm purposes. For successfully enforcing multi tenancy in a farm of databases, primary demanding situations has to be addressed, (i) workload modeling and (ii) data placement. the 1st includes estimating the (shared) source intake for multi tenancy on a unmarried in-memory database server. the second one is composed in assigning tenants to servers in a fashion that minimizes the variety of required servers (and therefore expenditures) in accordance with the assumed workload version. This step additionally includes replicating tenants for functionality and excessive availability. This ebook offers novel recommendations to either problems.
Read or Download Multi Tenancy for Cloud-Based In-Memory Column Databases: Workload Management and Data Placement (In-Memory Data Management Research) PDF
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