PPT-Predicting System Performance for Multi-tenant Database Wor

Mumtaz Ahmad 1 Ivan Bowman 2 1 University of Waterloo 2 Sybase an SAP company Multitenant Databases Multitenancy single instance of application software serving multiple clients. Willis Lang*, . Srinath. Shankar. +. , . Jignesh. M. Patel*, Ajay . Kalhan. ^. *University of Wisconsin-Madison. +. Microsoft Gray Systems Lab. ^. Microsoft Corp.. To appear in ICDE 2012. 1. Overall Operating Costs of Providing Cloud Services are High. Joy Watson. Tenant Services Manager, Hillcrest Housing Association . Scrutiny … National Context. “The “Act” requires Scottish Ministers to set standard and outcomes which social landlords should aim to achieve, and to publish these in a Scottish Social Housing Charter. It is the role of Scottish Housing Regulator to monitor and report on landlords performance on achieving the outcomes and standards”. (AKA I can . prove. it’s not my system’s fault!). August 4, 2012. David Klee . –. . Solutions Architect (@. kleegeek. ). About. House of Brick. 14 year old Omaha-based company . Leader: Tier-1 VMware, Database Performance. ABL Multi-Tenancy. ABL Multi-Tenant Programming. Mary Szekely. OpenEdge. Fellow. June 2011. Tenancy. Regular Tenant Programming Model. Groups. Super-tenant Programming Model. Questions. Agenda. A tenant is a separate organizational entity within a multi-tenant database with . Flexibility without the complications. Richard Banville. Software Fellow, OpenEdge. Matthew Baker. Principal Software Engineer, OpenEdge. Agenda. 1. Administration Architecture. Multi-tenant Administration: How to. Niangjun . Chen . Joint work with . Xiaoqi. . Ren. , . Shaolei. . Ren. , and Adam . Wierman. 1. 2 stories about energy and data centers. 2. Emerging story. : data centers are valuable resources. Typical story. Flexibility without the complications.. Richard Banville. Fellow, Progress Software. June 7, 2011. Agenda. Administration architecture. Multi-tenant Administration: “How to”. Utility usage examples. Criterion-Related Validation. Regression & Correlation. What’s the difference between the two?. Significance . Testing. Type I and type II errors. Statistical power to reject the null. . Chapter 6 Predicting Future Performance. Criterion-Related Validation. Regression & Correlation. What’s the difference between the two?. Significance . Testing. Type I and type II errors. Statistical power to reject the null. . Chapter 6 Predicting Future Performance. PUG Challenge Americas. Richard . Banville. Fellow. , OpenEdge . Development. June 10, 2014. Introduction. Parallel development between OpenEdge 10.2B and OpenEdge 11. Including rollout of some enhancements in the older releases. PUG Challenge Americas. Richard . Banville. Fellow. , OpenEdge . Development. June 10, 2014. Introduction. Parallel development between OpenEdge 10.2B and OpenEdge 11. Including rollout of some enhancements in the older releases. and. Performance . Analysis. Laureando:. Valerio Barbagallo. Relatore:. Paolo Merialdo. Correlatore:. Michele Aiello. Context. A . database. is a structured collection of data. A . database management system. 23 CONCLUSION A SAS Viya 3.4 m ulti - t ena can be a very useful way to leverage SAS Viya . It allows for segregation of data and content for disc rete groups of end users. For complex deploymen Sameh Elnikety, Microsoft Research . Steven Dropsho, Google Inc.. Emmanuel Cecchet, Univ. of Mass.. Willy Zwaenepoel, EPFL. Environment. E-commerce website. DB throughput is 500 tps. Is 5000 tps achievable?.