Resource-Based Theory and Market-Driven Management

Market-based Cluster Resource Management

Time Driven Activity Based Costing : Theory,Applications and Limitations

The aim of this study is to explore the strategic applications and limitations of Time-driven Activity-based Costing (TDABC) and to evaluate the degree of accuracy of the proponents’ arguments concerning its usefulness. In this study, published works directly related to this area from the period 2004-2015 are analyzed. This study reports TDABC's applications in strategic areas such as cost of p...

A taxonomy of market-based resource management systems for utility-driven cluster computing

In utility-driven cluster computing, cluster Resource Management Systems (RMSs) need to know the specific needs of different users in order to allocate resources according to their needs. This in turn is vital to achieve service-oriented Grid computing that harnesses resources distributed worldwide based on users’ objectives. Recently, numerous market-based RMSs have been proposed to make use o...

Market-based autonomous resource and application management in private clouds

High Performance Computing (HPC) clouds need to be efficiently shared between selfish tenants having applications with different resource requirements and Service Level Objectives (SLOs). The main difficulty relies on providing concurrent resource access to such tenants while maximizing the resource utilization. To overcome this challenge, we propose Merkat, a market-based SLO-driven cloud plat...

Market-Based Hierarchical Resource Management Using Machine Learning

Service providers are constantly seeking ways to reduce the costs incurred in managing the services they deliver. With the increased distribution and virtualization of resources in the next generation network infrastructure, novel resource management approaches are sought for effective service delivery. In this paper, we propose a market-based hierarchical resource management mechanism using Ma...