In this paper, we investigate and characterize the behavior of “big” and “fast” data analysis frameworks, in multitenant, shared settings for which computing resources (CPU and memory) are limited. Such settings and frameworks are frequently employed in both public and private cloud deployments. Resource constraints stem from both physical limitations (private clouds) and what the user is willi...

This article investigates the viability of using forced allocation as a mechanism to alleviate capacity challenges through scenarios varying allowable citrus throughput at Port Durban. Rule-based resource techniques are used divide constrained port between production regions by setting quotas. The model framework minimises impact on export cold chain quotas constraints in an integer programming...

the problem we investigate deals with the optimal assignment of resources to the activities of a stochastic project network. we seek to minimize the expected cost of the project include sum of resource utilization costs and lateness costs. we assume that the work content required by the activities follows an exponential distribution. the decision variables of the model are the allocated resourc...

background priority setting in healthcare is a key determinant of health system performance. however, there is no widely accepted priority setting evaluation framework. we reviewed literature with the aim of developing and proposing a framework for the evaluation of macro and meso level healthcare priority setting practices.   methods we systematically searched econlit, pubmed, cinahl, and ebsc...

background: assessment of hospitals’ performance in achieving its goals is a basic necessity. measuring the efficiency of hospitals in order to boost resource productivity in healthcare organizations is extremely important. the aim of this study was to measure technical efficiency and determining status of resource allocation in some university hospitals, in tehran, iran.   methods : this study...

This work attempts to study and offer a solution to an important resource allocation problem for explicitly parallel computing architectures. The problem of buffer space allocation in distributed on-chip memories is the key to lowering configuration (re-programming) overhead for systems such as SCORE [2] and enabling efficient virtualization of hardware resources essential for exploitation of s...

Traditional techniques for project modelling have not adequately incorporated some factors that are essential for resource planning and management. This paper describes a new approach for project modelling that uses Timed Coloured Petri nets (TCPNs), to facilitate resource allocation in projects under constraints, commonly encountered in practice since TCPNs provide a powerful formalism for rep...