Grant: Alliance Grants
York University
$68,000.00
Adaptation Models for Cloud-native Applications
EF 2023-24
Résumé
Cloud is a self-serving and on-demand computing model, in which traditionally user-performed tasks are automated and provided by cloud software. It has become critical infrastructure where private and public sectors deploy mission- critical applications that are expected to be robust, secure, and performant. These qualities are many times achieved through automation services that monitor the applications and their environment and keep them within the desired requirements. However, there is an increasing gap between the application's requirements and the capability of automation software. Basically, only a small fraction of cloud operations can be automated due to a lack of models that can replace human expertise. This gap has led the industry to start a new field of practice, AIOps (Artificial Intelligence for IT Operations), which entails "the use of artificial intelligence to simplify IT operations management and accelerate and automate problem resolution in complex modern IT environments." In this partnership, we explore automation software, that is the applications, platforms, and services that manage other software across the cloud infrastructure, platforms, and/or the end-user applications and services. The long-term goal of this partnership is to investigate application-agnostic techniques to design, develop, verify, and manage flexible and resilient AI-based automated cloud-native software systems. The expected benefits to both partners are: new scientific and technological advancements materialized in patents, prototypes, products and publications; exchange of knowledge through meetings, workshops and presentations; and a new generation of talent, capable of addressing the challenges of nascent economies. This partnership will be of direct benefit to all Canadians by: 1) advancing our knowledge and informing society on cloud automation and AI; 2) providing a competitive product/service differentiator to and opportunities for industry to commercialize key cloud- and AI-related technologies; and 3) creating a new generation of highly qualified personnel.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
576938-2022
Name nom
Litoiu, Marin M
Department département
Electrical Engineering & Computer Science
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
68000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2705
Research subject group en
Information technology
Research subject group fr
Software and development
Research subject en
Technologie de l'information
Research subject fr
Logiciels et développement
Application title
Adaptation Models for Cloud-native Applications
Keyword
cloud computing; containers; microservices; performance engineering; performance modeling; software engineering
Application summary
Cloud is a self-serving and on-demand computing model, in which traditionally user-performed tasks are automated and provided by cloud software. It has become critical infrastructure where private and public sectors deploy mission- critical applications that are expected to be robust, secure, and performant. These qualities are many times achieved through automation services that monitor the applications and their environment and keep them within the desired requirements. However, there is an increasing gap between the application's requirements and the capability of automation software. Basically, only a small fraction of cloud operations can be automated due to a lack of models that can replace human expertise. This gap has led the industry to start a new field of practice, AIOps (Artificial Intelligence for IT Operations), which entails "the use of artificial intelligence to simplify IT operations management and accelerate and automate problem resolution in complex modern IT environments." In this partnership, we explore automation software, that is the applications, platforms, and services that manage other software across the cloud infrastructure, platforms, and/or the end-user applications and services. The long-term goal of this partnership is to investigate application-agnostic techniques to design, develop, verify, and manage flexible and resilient AI-based automated cloud-native software systems. The expected benefits to both partners are: new scientific and technological advancements materialized in patents, prototypes, products and publications; exchange of knowledge through meetings, workshops and presentations; and a new generation of talent, capable of addressing the challenges of nascent economies. This partnership will be of direct benefit to all Canadians by: 1) advancing our knowledge and informing society on cloud automation and AI; 2) providing a competitive product/service differentiator to and opportunities for industry to commercialize key cloud- and AI-related technologies; and 3) creating a new generation of highly qualified personnel.
