192
5 Complex Reactive Applications: A Forward Look to Open Science
5.5.3 User and Service Quality Evaluation
It is important here to emphasize that the proposed collaborative open science model
of the CMMST environment strongly relies on the possibility of evaluating the QoS
(quality of service) and the QoU (quality of user) and base on them a credit economy rewarding resource and service providers. This enhances the sustainability of a
community by calling both for introducing a metric suited to rank services and for
developing tools facilitating collaborative activities by leveraging on the evaluation
of QoS and QoU that will be discussed in more detail later on. As already mentioned,
in fact, within the collaborative open molecular science model, users not only can
get an on-demand allocation of the available compute resources but they can also
set common requirements, share in a bottom-up fashion data and programs, complement each other’s expertise, boost the activities of their virtual communities, etc.
The e-infrastructures developed for that purpose and related software tools are the
ground on which various VOs and VRCs originated and performed interdisciplinary
collaborations.
At the same time, the adoption of a collaborative model further enhances the competitiveness of the various scientific laboratories thanks to the collaboration developed within the VRE (the already mentioned collaborative competition) by enhancing
the complexity of problems affordable (typically the high-level ab initio electronic
structure and dynamics calculations, the design of smart energy carriers, innovative
materials and biomedical processes, the handling of knowledge for training and education considered in the present project) and the evolution of the quality-based credit
system into a business model ensuring sustainability. Preliminary indications on the
transdisciplinary performance/research indicators of the impact of the collaborative
model have been already pointed out to be accessibility, integrity, and reliability of
the collaborative effort (at qualitative level) and number of successful compilations,
number of results retrieved and number of feedbacks produced (at quantitative level)
as illustrated in Ref. [134].
In this spirit, the open science community is engaged in
• implementing a credit award and redemption system introducing a service-based
economy and
• developing a SMEs (academic spinoffs and startups, etc.) driven business model
proof of concept.
This activity takes care of providing solutions for
• high-level computing tasks of data processing (e.g., like user-driven workflows
and data-driven pipelines),
• simulation workflows and any other stand-alone computing activities and related
components, tools, and interfaces built on top of the existing technologies (frameworks and gateways), and
• devising the best solution enabling the concerted use of both the existing users
data and applications of the involved communities on the ground of the adoption of
the already mentioned QoS and QoU mechanisms.
This is based on a gateway layer that enables
5 Complex Reactive Applications: A Forward Look to Open Science
5.5.3 User and Service Quality Evaluation
It is important here to emphasize that the proposed collaborative open science model
of the CMMST environment strongly relies on the possibility of evaluating the QoS
(quality of service) and the QoU (quality of user) and base on them a credit economy rewarding resource and service providers. This enhances the sustainability of a
community by calling both for introducing a metric suited to rank services and for
developing tools facilitating collaborative activities by leveraging on the evaluation
of QoS and QoU that will be discussed in more detail later on. As already mentioned,
in fact, within the collaborative open molecular science model, users not only can
get an on-demand allocation of the available compute resources but they can also
set common requirements, share in a bottom-up fashion data and programs, complement each other’s expertise, boost the activities of their virtual communities, etc.
The e-infrastructures developed for that purpose and related software tools are the
ground on which various VOs and VRCs originated and performed interdisciplinary
collaborations.
At the same time, the adoption of a collaborative model further enhances the competitiveness of the various scientific laboratories thanks to the collaboration developed within the VRE (the already mentioned collaborative competition) by enhancing
the complexity of problems affordable (typically the high-level ab initio electronic
structure and dynamics calculations, the design of smart energy carriers, innovative
materials and biomedical processes, the handling of knowledge for training and education considered in the present project) and the evolution of the quality-based credit
system into a business model ensuring sustainability. Preliminary indications on the
transdisciplinary performance/research indicators of the impact of the collaborative
model have been already pointed out to be accessibility, integrity, and reliability of
the collaborative effort (at qualitative level) and number of successful compilations,
number of results retrieved and number of feedbacks produced (at quantitative level)
as illustrated in Ref. [134].
In this spirit, the open science community is engaged in
• implementing a credit award and redemption system introducing a service-based
economy and
• developing a SMEs (academic spinoffs and startups, etc.) driven business model
proof of concept.
This activity takes care of providing solutions for
• high-level computing tasks of data processing (e.g., like user-driven workflows
and data-driven pipelines),
• simulation workflows and any other stand-alone computing activities and related
components, tools, and interfaces built on top of the existing technologies (frameworks and gateways), and
• devising the best solution enabling the concerted use of both the existing users
data and applications of the involved communities on the ground of the adoption of
the already mentioned QoS and QoU mechanisms.
This is based on a gateway layer that enables