On top of the Cloud stack model representing the configuration of all three layers, an adaptive framework for optimizing the utility of a specific job regarding these layers has been designed.
On top of these descriptors, an adaptive framework, capable of optimizing the utility has been designed.
This work presents an adaptive framework optimizing the utilization of Cloud computing resources as well as the runtime of an application.
These load patterns are independently applied to the structure within an adaptive framework and the envelope of demand values is considered.
Truncated hierarchical B-splines (THB-splines) provide the possibility of introducing different levels of resolution in an adaptive framework, while simultaneously preserving the main properties of standard B-splines.
This paper presents the design, implementation, and evaluation of an adaptive framework— Dynasa, which strives to handle security problems using adaptive fault-tolerance (i.e., checkpointing and replication) during the execution of applications according to the status of the Grid environments.
Darwinism is not a monolithic, immutable block of scientific theories; on the contrary, it represents a genuine example of an adaptive framework.
Having mapped the effective operable landscape for PCAIN-based methods with the goal of obtaining the maximal PCAIN effectiveness and highest possible SNR, we propose an adaptive framework (Figure 5D) for such fine-tuning of the parameters as required by the application of interest.
Unlike the co-adaptive framework of Taylor et al. (2002), the UKF would compute in a probabilistically optimal fashion, without requiring knowledge of what the user is doing, and would update models in the background without explicit recalibration, making the system more user friendly.
The main objective of the adaptive framework is the optimization of the utility for a specific job which is achieved by adaptive configuration of these layers.
