Reference number : GC-2017-Q2-00500, amendment number : , agreement type : G, recipient legal name : Krishnamurthy, Diwakar (University of Calgary), recipient country : CA, recipient province : nan, recipient city : Alberta, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : The private sector partner for this research project is Ottawa based Predikat Inc. The company provides a suite_x000D_
of application performance management (APM) tools called Smarttarget for their customers. Predikat's_x000D_
customers typically host Web services on cloud platforms such as Amazon EC2 and Microsoft Azure. Web_x000D_
service performance is an important consideration for these customers. In particular, customers would like to_x000D_
ensure fast response times for their Web services to support good Quality of Experience (QoE) to end users of_x000D_
these services. Unfortunately, several factors make it challenging to achieve good performance. In particular,_x000D_
the workload experienced by a Predikat Web service can often fluctuate significantly. Furthermore, cloud_x000D_
platforms are known to introduce performance degradations since in such platforms multiple applications can_x000D_
compete for shared cloud resources. Consequently, a Predikat customer requires APM tools that can_x000D_
automatically and proactively predict the impending onset of performance problems. Such a capability would_x000D_
allow the customer to quickly put in place strategies to mitigate the problem thereby ensuring that end user_x000D_
QoE is not compromised. The purpose of this Engage collaboration is to identify the challenges in building_x000D_
such tools and to investigate effective solutions for these challenges., program purpose french : The private sector partner for this research project is Ottawa based Predikat Inc. The company provides a suite_x000D_
of application performance management (APM) tools called Smarttarget for their customers. Predikat's_x000D_
customers typically host Web services on cloud platforms such as Amazon EC2 and Microsoft Azure. Web_x000D_
service performance is an important consideration for these customers. In particular, customers would like to_x000D_
ensure fast response times for their Web services to support good Quality of Experience (QoE) to end users of_x000D_
these services. Unfortunately, several factors make it challenging to achieve good performance. In particular,_x000D_
the workload experienced by a Predikat Web service can often fluctuate significantly. Furthermore, cloud_x000D_
platforms are known to introduce performance degradations since in such platforms multiple applications can_x000D_
compete for shared cloud resources. Consequently, a Predikat customer requires APM tools that can_x000D_
automatically and proactively predict the impending onset of performance problems. Such a capability would_x000D_
allow the customer to quickly put in place strategies to mitigate the problem thereby ensuring that end user_x000D_
QoE is not compromised. The purpose of this Engage collaboration is to identify the challenges in building_x000D_
such tools and to investigate effective solutions for these challenges., agreement title english : Predictive analytics for Smarttarget: Proactive performance anomaly detection techniques for cloud-based Web services, agreement title french : Predictive analytics for Smarttarget: Proactive performance anomaly detection techniques for cloud-based Web services, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-08-23, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada