Evaluating approaches to resource demand estimation
Resource demands are a key parameter of stochastic performance models that needs to be
determined when performing a quantitative performance analysis of a system. However, the …
determined when performing a quantitative performance analysis of a system. However, the …
Evaluating weighted round robin load balancing for cloud web services
Weighted round robin load balancing is a common routing policy offered in cloud load
balancers. However, there is a lack of effective mechanisms to decide the weights assigned …
balancers. However, there is a lack of effective mechanisms to decide the weights assigned …
Estimating multiclass service demand distributions using Markovian arrival processes
Building performance models for software services in DevOps is costly and error-prone.
Accurate service demand distribution estimation is critical to precisely modeling queueing …
Accurate service demand distribution estimation is critical to precisely modeling queueing …
Towards a devops approach for software quality engineering
DevOps is a novel trend in software engineering that aims at bridging the gap between
development and operations, putting in particular the developer in greater control of …
development and operations, putting in particular the developer in greater control of …
[PDF][PDF] A queueing network model for performance prediction of apache cassandra.
NoSQL databases such as Apache Cassandra have attracted large interest in recent years
thanks to their high availability, scalability, flexibility and low latency. Still there is limited …
thanks to their high availability, scalability, flexibility and low latency. Still there is limited …
A bayesian approach to parameter inference in queueing networks
The application of queueing network models to real-world applications often involves the
task of estimating the service demand placed by requests at queueing nodes. In this article …
task of estimating the service demand placed by requests at queueing nodes. In this article …
Bilinear elastically deformable models with application to 3d face and facial expression recognition
I Mpiperis, S Malassiotis… - 2008 8th IEEE …, 2008 - ieeexplore.ieee.org
In this paper, we explore bilinear and elastically deformable models for addressing jointly
3D face and facial expression recognition. An elastically deformable model is built first to …
3D face and facial expression recognition. An elastically deformable model is built first to …
Maximum likelihood estimation of closed queueing network demands from queue length data
Resource demand estimation is essential for the application of analyical models, such as
queueing networks, to real-world systems. In this paper, we investigate maximum likelihood …
queueing networks, to real-world systems. In this paper, we investigate maximum likelihood …
Deriving parameters for open and closed qn models of operational systems through black box optimization
M Awad, DA Menasce - Proceedings of the 8th ACM/SPEC on …, 2017 - dl.acm.org
Black-box modeling techniques are used when modeling computer systems with unknown
internal structure or behavior and/or when it is not feasible or too time consuming to monitor …
internal structure or behavior and/or when it is not feasible or too time consuming to monitor …
Estimating the resource demand in power-aware clusters by regressing a linearly dependent relation
Large-scale clusters are often built with over-provisioned service resources, so as to satisfy
the huge demand raised by enormous users in cloud environments. By estimating the …
the huge demand raised by enormous users in cloud environments. By estimating the …