We consider a problem where tasks arrive randomly over time, and all tasks have to be performed using reusable resources before a given deadline. The objective is to minimize the total cost of the operation by minimizing the number of resources used. Two cases are considered: rst the case in which we have no information on future tasks, and then the case in which we know the probability distrib...

In cloud computing, providing an optimal resource to user becomes more and more important. Cloud computing users can access the pool of computing resources through internet. Cloud providers are charge for these computing resources based on cloud resource usage. The provided resource plans are reservation and on demand. The computing resources are provisioned by cloud resource provisioning model...

In cloud computing, provisioning an optimal resource to consumer gets more and more crucial. Cloud computing consumers are able to use the set of computing resources by net. Cloud providers will receive some amount for these computational resources depending on usage of cloud resource. The provisional resource plans are reservation and also on demand. The computing resources will be provided ba...

A stochastic-flow network consists of a set of nodes, including source nodes which supply various resources and sink nodes at which resource demands take place, and a collection of arcs whose capacities have multiple operational states. The network reliability of such a stochastic-flow network is the probability that resources can be successfully transmitted from source nodes through multi-capa...

This research presents a model for optimal allocation of Iranian oil and gas resources in sanction condition based on stochastic linear multi-objective programming. The general policies of the resistive economy include expanding exports of gas, electricity, petrochemical and petroleum products, expanding the strategic oil and gas reserves, increasing added value through completing the petroleum...

We consider assemble-to-order (ATO) inventory systems with a general bill of materials and deterministic lead times. Unsatisfied demands are always backlogged. apply four-step asymptotic framework to develop policies for minimizing the long-run average expected total cost. Our approach features multistage stochastic program (SP) establish lower bound on cost determine parameter values control. ...

The FIRE 2017 Information Retrieval from Microblogs during Disasters (IRMiDis) track focused on retrieval and matching of needs and availabilities of resources from microblogs posted on Twitter during disaster events. A dataset of around 67,000 microblogs (tweets) in English as well as in local languages such as Hindi and Nepali, posted during the Nepal earthquake in April 2015, was made availa...

Human drivers have limited and time-varying cognitive resources when making decisions in real-world traffic scenarios, which often leads to unique stochastic behaviors that can not be explained by perfect rationality assumption, a widely accepted premise modeling driving presume rationally make maximize their own rewards under all circumstances. To explicitly address this disadvantage, study pr...

This letter considers the control of uncertain systems operated under limited resource factors, such as battery life or hardware longevity. We consider here resource-aware self-triggered techniques that schedule system operation non-uniformly in time order to balance performance against consumption. When running an environment, unknown disturbances may deteriorate by acting adversarially planne...

Plants have been recognized to be capable of allocating more roots to rich patches in the soil. We tested the hypothesis that in addition to their sensitivity to absolute differences in nutrient availability, plants are also responsive to temporal changes in nutrient availability. Different roots of the same Pisum sativum plants were subjected to variable homogeneous and heterogeneous temporall...