194
5 Complex Reactive Applications: A Forward Look to Open Science
the VRE commitments or even as new procurements) useful to the communities to
the end of enhancing not only research and innovation but also sustainability. In fact,
the objective determination of QoU and QoS quality parameters through extended
statistical analyses are utilized for the evaluation of the terms of exchange between
the activities carried out and the credits awarded as well as between the credits
redeemed and the services or the financial resources provided in return.
This enhances full interoperability of codes, data, tools, and laboratories by
encouraging the sharing of packages and results derived from the community endeavors and outcomes thereby exalting the scientific impact of distributed computing. This
is also a significant move toward open science, a European project to promote free
access to knowledge produced by publicly funded research [151].
A further important element of strategic relevance is the structuring and transforming the credit mechanism into a systematic sustainable market-oriented business model. The goal of this is to deeply involve technology providers and market
operators to the end of establishing and maintaining exploitation activities. Key elements of such exploitation activities will include assessment of the optimal business
model to adopt in order to transfer related technologies to the market in a way that
ensures the widest uptake and profitability as well as business sustainability. Such
transfer will leverage both on the gathering of a proper cluster of solid technology
providers and on the establishing of a credit mechanism to support the collaborative
model adopted by the CMMST environment based on an objective evaluation of the
already mentioned terms of exchange in order to ensure that software and services
are provided at a professional level with alignment to the established standards.
As mentioned before, the rewarding of the user’s contribution to the community
activities based on quality evaluation of the services provided is a key added value
of the collaborative model. It fosters, in fact, the sharing of expertise and products
among the members of the community (especially to the end of tackling multiscale
problems of higher complexity for which individual competences are insufficient but
including also education for which little scientific recognition is attached and most
of the materials are strongly (almost uniquely) linked to the author) in a trustable
objective way once the related metrics of monitoring the activities, evaluating their
quality and assigning related credits is agreed by the community. It also strongly
encourages some members of the community to become proactive service providers
by utilizing their own products and those of the other members of the community.
To this end, use is made of GCreS (grid credit system) a tool to reward both the
QoU and the QoS it will be possible to assign to the users a congruent amount of
credits (according to agreed mechanisms). Such credits, redeemable in terms of a
preferential utilization of the community resources (selection of compute systems,
DCI services, low- and high-level capabilities, memory size, CPU/wall time, storage capacity plus financial resources) will not only foster collaboration among the
members of the community but will also entitle related researchers to participate
in the multicompetence teams which apply for the most challenging bids. This will
result in an enhancement of the competition among different teams (the so-called
competitive collaboration).
5 Complex Reactive Applications: A Forward Look to Open Science
the VRE commitments or even as new procurements) useful to the communities to
the end of enhancing not only research and innovation but also sustainability. In fact,
the objective determination of QoU and QoS quality parameters through extended
statistical analyses are utilized for the evaluation of the terms of exchange between
the activities carried out and the credits awarded as well as between the credits
redeemed and the services or the financial resources provided in return.
This enhances full interoperability of codes, data, tools, and laboratories by
encouraging the sharing of packages and results derived from the community endeavors and outcomes thereby exalting the scientific impact of distributed computing. This
is also a significant move toward open science, a European project to promote free
access to knowledge produced by publicly funded research [151].
A further important element of strategic relevance is the structuring and transforming the credit mechanism into a systematic sustainable market-oriented business model. The goal of this is to deeply involve technology providers and market
operators to the end of establishing and maintaining exploitation activities. Key elements of such exploitation activities will include assessment of the optimal business
model to adopt in order to transfer related technologies to the market in a way that
ensures the widest uptake and profitability as well as business sustainability. Such
transfer will leverage both on the gathering of a proper cluster of solid technology
providers and on the establishing of a credit mechanism to support the collaborative
model adopted by the CMMST environment based on an objective evaluation of the
already mentioned terms of exchange in order to ensure that software and services
are provided at a professional level with alignment to the established standards.
As mentioned before, the rewarding of the user’s contribution to the community
activities based on quality evaluation of the services provided is a key added value
of the collaborative model. It fosters, in fact, the sharing of expertise and products
among the members of the community (especially to the end of tackling multiscale
problems of higher complexity for which individual competences are insufficient but
including also education for which little scientific recognition is attached and most
of the materials are strongly (almost uniquely) linked to the author) in a trustable
objective way once the related metrics of monitoring the activities, evaluating their
quality and assigning related credits is agreed by the community. It also strongly
encourages some members of the community to become proactive service providers
by utilizing their own products and those of the other members of the community.
To this end, use is made of GCreS (grid credit system) a tool to reward both the
QoU and the QoS it will be possible to assign to the users a congruent amount of
credits (according to agreed mechanisms). Such credits, redeemable in terms of a
preferential utilization of the community resources (selection of compute systems,
DCI services, low- and high-level capabilities, memory size, CPU/wall time, storage capacity plus financial resources) will not only foster collaboration among the
members of the community but will also entitle related researchers to participate
in the multicompetence teams which apply for the most challenging bids. This will
result in an enhancement of the competition among different teams (the so-called
competitive collaboration).