Abbrevation
GECON
City
Athens
Country
Greece
Deadline Paper
Start Date
End Date
Abstract

<span style="margin: 0px; padding: 0px; color: #29303b; font&#8211;family: &#8242;Century Gothic&#8242;, &#8242;Century Gothic&#8242;, &#8242;Century Gothic&#8242;, serif; line&#8211;height: 18px; font&#8211;size: 10pt;" lang="EN&#8211;US">GECON solicits contributions that are interdisciplinary, combining business and economic aspects with engineering and computer&#8211;science related themes&#046; Contributions to this conference can include extensions to existing technologies, successful deployment of technologies, economic analyses, analysis of technology adoption, and theoretical models&#046; We welcome papers that combine micro&#8211; and macro&#8211;economic principles with resource management strategies in computer science and engineering&#046; Case studies that demonstrate practical use of economic strategies and their benefits (and limitations) are particularly encouraged&#046; The purpose of this event is to gather original work and build a strong multidisciplinary community in this increasingly important area of a future information and knowledge economy&#046;<br>The way IT resources and services are being provisioned is currently in flux&#046; Advances in distributed systems technology have allowed for the provisioning of services on an unprecedented scale and with increasing flexibility&#046; At the same time, business and academia have started to embrace a model wherein third&#8211;party services that can be acquired with minimal service provider interaction, replace or complement those that are managed internally&#046; As a global market for infrastructure, platform and software services emerges, the need to understand and deal with these implications is quickly growing&#046; In addition, a multitude of new challenges arise&#046; These are inherently multidisciplinary and relate to aspects such as the operation and structure of the service market, the alignment of cost, revenue and quality&#8211;related objectives when taking on a service consumer or provider role, market&#8211;based resource allocation, and the creation of innovative business models and value chains&#046; These challenges emerge in other service domains as well, for example in the coordinated operation of the next generation electricity grids (smart grids) that are characterized by distributed generation facilities and new consumption patterns&#046;<br>General topics of interest at GECON 2016 include:<br>Software service platforms<br>Analysis of software industry and cloud computing industry<br>Market mechanisms, auctions models, and bidding languages<br>Decision support for providers, service selection, and procurement<br>Revenue and energy&#8211;aware resource management<br>Pricing schemes and revenue models<br>Capacity planning<br>Resource allocation and scheduling<br>Automated trading and bidding support tools<br>Incentive design and strategic behavior<br>Development of sustainable infrastructures<br>Desktop grids, volunteer computing and crowd&#8211;sourcing<br>Economic modeling of networks, systems, software, and data<br>Business models and strategies<br>Service value chains and value networks<br>Metering, accounting, and billing<br>Negotiation, enforcement and monitoring of Service Level Agreements<br>Trust, reputation, security, and risk management<br>Performance monitoring and prediction<br>Reports and analysis on operational markets and testbeds<br>Techno&#8211;economic analysis<br>Standardization and legal aspects<br>Cost modeling, cost&#8211;benefit analysis, game theory<br>Smart Grids, Smart Cities, Smart Buildings, energy aware infrastructures and services<br>Social network systems<br>IaaS, SaaS, PaaS<br>Services Science<br>Technology acceptance models<br>Benefits to small and medium&#8211;sized enterprises<br>Economics of big data<br>Community nets and the sharing economy<br>Economically efficient resource allocation and SLAs<br>Economics of software and services<br>Economics of service composition, description and selection<br>Economic models of networked systems<br></span>