Grant: Discovery Grants Program - Individual
University of Western Ontario
$15,000.00
Software-as-a-service marketplace: agent-oriented auction-based approach and solutions
EF 2010-11
Résumé
There is a growing trend in migrating services and activities of businesses and people onto the Internet through the adoption of service-oriented, clouding computing and Software-as-a-Service (SaaS). Recent studies by analysts, such as Gartner and Saugatuck Research, concur that 25-percent of all enterprise systems will be delivered as on-demand SaaS by 2011. While this has provided businesses and people with effective ways of engagement and delivering new generation of products and services, it has brought forward a tremendous amount of challenges and open issues for researchers.
This research proposal is concerned with developing solutions and technologies for auction-based marketplaces, and their application to on-demand SaaS model. The focus will be on auction design and brokering for resource (including services, data and computing) allocation. In particular, expressive auction design solutions with tractable allocation algorithms will be utilized. These marketplace services will be implemented using a software-agent paradigm, delivered as SaaS, and deployed using a cloud computation model. The application domain will be the advertisement exchange marketplace. In this research the focus will be on both the engineering and fundamental aspects. This will include the architectural issues in the design of an auction market, which can be extended to accommodate requirements of various brokering applications in the marketplace. This in turn will require the development of service description and bidding languages as well as effective and scalable dynamic allocation algorithms that are adequate for SaaS based marketplace applied to in-store ad and promotion. A major goal and substantive contribution of this research will be in the advancement of economic-based computing. It is expected this project will significantly expand the scope and increase the utility of auction design to complex decentralized decision and optimization problems that are common to many application domains ranging from the automated marketplace for large ad networks, to grid resource allocation, to supply-demand chain management.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
227701-2010
Name nom
Ghenniwa, Hamada
Department département
Electrical and Computer Engineering
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2010
Competition year année de concours
2010
Award amount
15000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
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
2720
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Computer systems software
Research subject fr
Logiciel de systèmes informatiques
Partie
1
Nb partie
5
Application title
Software-as-a-service marketplace: agent-oriented auction-based approach and solutions
Keyword
NSERC
Application summary
There is a growing trend in migrating services and activities of businesses and people onto the Internet through the adoption of service-oriented, clouding computing and Software-as-a-Service (SaaS). Recent studies by analysts, such as Gartner and Saugatuck Research, concur that 25-percent of all enterprise systems will be delivered as on-demand SaaS by 2011. While this has provided businesses and people with effective ways of engagement and delivering new generation of products and services, it has brought forward a tremendous amount of challenges and open issues for researchers.
This research proposal is concerned with developing solutions and technologies for auction-based marketplaces, and their application to on-demand SaaS model. The focus will be on auction design and brokering for resource (including services, data and computing) allocation. In particular, expressive auction design solutions with tractable allocation algorithms will be utilized. These marketplace services will be implemented using a software-agent paradigm, delivered as SaaS, and deployed using a cloud computation model. The application domain will be the advertisement exchange marketplace. In this research the focus will be on both the engineering and fundamental aspects. This will include the architectural issues in the design of an auction market, which can be extended to accommodate requirements of various brokering applications in the marketplace. This in turn will require the development of service description and bidding languages as well as effective and scalable dynamic allocation algorithms that are adequate for SaaS based marketplace applied to in-store ad and promotion. A major goal and substantive contribution of this research will be in the advancement of economic-based computing. It is expected this project will significantly expand the scope and increase the utility of auction design to complex decentralized decision and optimization problems that are common to many application domains ranging from the automated marketplace for large ad networks, to grid resource allocation, to supply-demand chain management.
