This chapter considers the ubiquitous position of commodity clusters in providing HPC capabilities to the scientific community, and the many issues faced by organizations when deciding how best to procure, maintain, and maximize the usage of such a resource.
Any benefits, as far as the environment or the long-term sustainable usage of a limited resource are concerned, are but a happy by-product.
Such a disparate and highly varying radio environment calls for intelligent management, allocation and usage of a scarce resource, namely the radio spectrum.
The issues of efficient and fair allocation of resources have been intensively investigated in the context of economics, where utility functions have been used to quantify the benefit obtained from the usage of a pool of resources.
To this end, we present the Maximum Effective Reduction (MER) algorithm, a resource efficiency solution that optimizes the resource usage of a workflow schedule generated by any particular scheduling algorithm.
Furthermore, the DTCTP minimizes total costs from resource usage and not the excess of a resource threshold.
To enable the seamless and transparent usage of cloud resources, an elastic application platform is proposed in [77] that will augment the computing capabilities of mobile devices and provides elasticity between cloud and resource constrained devices.
This work proposes a design flow and describes a mechanism to deal with permanent faults, in which the amount of Reconfigurable Partitions (RPs) is reduced, resulting in a better usage of silicon resources available in an FPGA.
A growing usage of electronic resources may represent an avenue to link national EBM educational expertise, facilitating future collaborative educational efforts.
The reason for the reduction is more efficient usage of resources via cross service resource sharing.
