BEinGRID: Development of Business Models for the Grid Industry

Stanoevska‐Slabeva, Katarina; Parrilli, Davide Maria; Thanos, George

doi:10.1007/978-3-540-85485-2_11

Cited by 10 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to advance the protocol from the specifications into actual use on the Internet, the one deploying the protocol needs to proceed through the following actions: These deployment actions are helpful in defining the related value network and the ecosystem including the involved stakeholders and their roles (Levä & Suomi, 2013). Previous studies (Eurich et al, 2010;Kaleelazhicathu, 2004;Schlautmann, Levy, Keeping, & Pankert, 2011;Stanoevska-Slabeva, 2010) have identified multiple organizational roles that an IoT value network and ecosystem includes. The number of roles varies depending on the application scenario.…”

Section: Deployment Of Coapmentioning

confidence: 99%

Adoption of Constrained Application Protocol

Levä

Ilaghi

Looga

et al. 2016

International Journal of Innovation in the Digital Economy

View full text Add to dashboard Cite

Among billions of Internet enabled devices that are expected to surround us in the near future, many will be resource constrained, i.e., will have limited power supply, processing power and memory. To cope with these limitations, the Constrained Application Protocol (CoAP) has been recently introduced as a lightweight alternative to HTTP for connecting the resource limited devices to the Web. Although the new protocol offers solid technical advantages, it remains uncertain whether a successful uptake will follow, as it depends also on its economic feasibility for the involved stakeholders. Therefore, this paper studies the techno-economic feasibility of CoAP using a systematic methodological framework. Based on eleven expert interviews complemented with a literature survey, the paper identifies potential deployment challenges for CoAP, both technical and business-related, and suggests approaches to overcome them. The findings should facilitate the uptake of CoAP by supporting the potential adopters of the protocol in their decision-making.

show abstract

Section: Deployment Of Coapmentioning

confidence: 99%

Adoption of Constrained Application Protocol

Levä

Ilaghi

Looga

et al. 2016

International Journal of Innovation in the Digital Economy

View full text Add to dashboard Cite

show abstract

“…In this platform, two types of market conditions are implemented, commodity market and auction. BEinGRID [30] is also an infrastructure for the execution of grid technologies in conditions of commercial scenarios. In the GridEcon [31], a commodity market platform has been presented so that users can purchase available computing resources.…”

Section: In Grid Computingmentioning

confidence: 99%

Efficient Nash equilibrium resource allocation based on game theory mechanism in cloud computing by using auction

Nezarat

Dastghaibifard

2015

2015 1st International Conference on Next Generation Computing Technologies (NGCT)

View full text Add to dashboard Cite

One of the most complex issues in the cloud computing environment is the problem of resource allocation so that, on one hand, the cloud provider expects the most profitability and, on the other hand, users also expect to have the best resources at their disposal considering the budget constraints and time. In most previous work conducted, heuristic and evolutionary approaches have been used to solve this problem. Nevertheless, since the nature of this environment is based on economic methods, using such methods can decrease response time and reducing the complexity of the problem. In this paper, an auction-based method is proposed which determines the auction winner by applying game theory mechanism and holding a repetitive game with incomplete information in a non-cooperative environment. In this method, users calculate suitable price bid with their objective function during several round and repetitions and send it to the auctioneer; and the auctioneer chooses the winning player based the suggested utility function. In the proposed method, the end point of the game is the Nash equilibrium point where players are no longer inclined to alter their bid for that resource and the final bid also satisfies the auctioneer's utility function. To prove the response space convexity, the Lagrange method is used and the proposed model is simulated in the cloudsim and the results are compared with previous work. At the end, it is concluded that this method converges to a response in a shorter time, provides the lowest service level agreement violations and the most utility to the provider.

show abstract

“…The business development was carried out by an analysis of the following parameters of a service [80,81]:…”

Section: Business Conceptsmentioning

confidence: 99%