Towards the Merger of Grid and Economy

Weishäupl, Thomas; Schikuta, Erich

doi:10.1007/978-3-540-30207-0_70

Cited by 17 publications

(15 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Key for fostering of cloud resources are service level agreements (SLAs) which give guarantees on quality of the delivered services. We are working on the embedment of our research findings on SLAs [5,6,4] into NetLuke to allow for different novel business models [22,15,21,20] on the selection, delivery and usage of teaching resources based on quality of service attributes [19].…”

Section: Resultsmentioning

confidence: 99%

NetLuke

Rotheneder

Schikuta

2014

Proceedings of the 16th International Conference on Information Integration and Web-Based Applications &Amp; Services

Self Cite

View full text Add to dashboard Cite

NetLuke is an interactive, Web-based, e-Learning system to visualize the dynamic behavior of algorithms and data structures. It is used as a supportive tool for under-graduate and graduate courses on these topics. It aims for clarity and vividness, simplicity, portability, and extendibility and supports user controlled dynamics. During the design of the system specific focus was laid on the deployment of NetLuke in a mobile environment. Mobile devices force the developer to put considerable effort into interface design and implementation details. Touch based interaction, common for mobile devices today, makes perfect sense for teaching applications, as it supports an intuitive "game-like" interactive approach. Moving to a web based solution opens up new architectural and technological perspectives that support our goal for the development of a modern kind of algorithm visualization platform. Our vision of a user centred, non-monolithic approach is reflected by NetLukes architectural design and its set of features, as easy extensibility and adaptibility. The flexible system design and the choice of latest Web technology support the deployment to the whole range of existing computer platforms, from PCs, tablets to Smartphones.

show abstract

Section: Resultsmentioning

confidence: 99%

NetLuke

Rotheneder

Schikuta

2014

Proceedings of the 16th International Conference on Information Integration and Web-Based Applications &Amp; Services

Self Cite

View full text Add to dashboard Cite

show abstract

“…For the SEE and consequently the R 2 we used the formulas of the equitations (7) and (8). So the SSE = 1.607 and the R 2 = 0.9967…”

Section: Negotiation Range Analysismentioning

confidence: 99%

“…Hereby the paradigm of service oriented utility computing is a pillar of this development for the Internet [8]. A digital market is the culmination point of stake-holders with integration of services along each link in a value chain.…”

Section: Introductionmentioning

confidence: 99%

A Forecasting and Decision Model for Successful Service Negotiation

Mach

Pittl

Schikuta

2014

2014 IEEE International Conference on Services Computing

Self Cite

View full text Add to dashboard Cite

Future e-business models will rely on electronic contracts which are agreed dynamically and adaptively by web services. Thus, the automatic negotiation of Service Level Agreements (SLAs) between consumers and providers is key for enabling service-based value chains. The process of finding appropriate providers for web services seems to be simple. Consumers contact several providers and take the provider which offers the best matching SLA. However, currently consumers are not able forecasting the probability of finding a matching provider for their requested SLA. So consumers contact several providers and check if their offers are matching. In case of continuing faults, on the one hand consumers may adapt their Service Level Objects (SLOs) of the required SLA or on the other hand simply accept offered SLAs of the contacted providers.Thus, this paper proposes an analytical forecast model, which allows consumers to get an assessment of the probability to find matching providers. Additionally, we present an optimization algorithm based on the forecast results, which allows adapting the SLO parameter ranges in order to find at least one matching provider. Not only consumers, but also providers can use this forecast model to predict the prospective demand. So providers are able to assess the number of potential consumers based on their offers too. Justification of our approach is done by simulation of practical examples checking our theoretical findings.

show abstract

“…Although preparing Grid for the business is a challenging task but still the Grid community finds enough motivation 4 to invent means of doing business in this novel infrastructure. The Economy Grid 13 describes a hierarchy of involvement of business in the Grid as a four layer model. These layers are from the bottom up: Grid using Economic Principles, Selling Grid Software, Business‐enabled Grid, and Business models on Grid.…”

Section: State‐of‐the‐artmentioning

confidence: 99%