In the IaaS cloud business model, there are 2 communities:
1. Customer and
2. Infrastructure provider.

Customers seek good performance and user experience while providers seek to optimise profitability, where customer satisfaction, optimizing utilization of resources and total cost of service delivery play significant roles. There are various attributes that contribute to customer and provider objectives. In the future autonomous data center, a resource manager along with analytical capabilities and job scheduler can be tasked to handle this trade-off and make a decision on how to schedule and place a job in the available resource such that both the parties can be satisfied. There may be various influencing parameters or ‘attributes’ that needs to be considered in making the placement decisions that can be modelled using utility theory, and ultimately, a placement decision can be taken by looking at the utility values depending on the business needs. We use OpenFOAM, a CFD application as a use case to demonstrate an approach that uses utility based analytics in finding better placement solution in the heterogeneous infrastructure cloud.

OpenStack is the leading open source IaaS platform, powering many of the world’s most notable science and research organisations. In this presentation we explore OpenStack as a cloud platform for scientific workloads and talk about the challenges, pitfalls and potential opportunities to deliver flexible infrastructure for research computing.

A large number of HPC applications migrate to Cloud Environments. These HPC applications include various Engineering and Physics type simulations. Gravitational N-body simulation is one of the most challenging and computationally intensive applications used to study evolutionary phenomena of galaxies or cosmological structures. The requirements of this type of simulation are introduced and discussed with respect to emerging service delivery models of Cloud environments, such as: WaaS and CloudLightning. Moreover, discussions about other types of Engineering and Physics simulations that can be performed in the Cloud along with advantages and disadvantages are given.