In cloud computing, cloud providers can offer cloud consumers two provisioning plans for computing resources, formal reservation and on-demand plans. Usually, cost of utilizing computing resources provisioned by reservation plan is cheaper than that provisioned by ondemand plan, since cloud consumer has to pay to provider in advance. With the reservation plan(Local Adjustment), the consumer can...

Mission-critical multimedia applications such m advanced command and control are dynamic and criticality driven. Taking into consideration of the application criticality as well as media quality-ofsewice (QoS} ar$ timing requirements, we develop a multiresource management system that enables criticality-based resource preemption and QoS-based dynamic resource negotiation and adaptation. Our pee...

As a general branch of project scheduling problems, resource investment problem (RIP) considers resource availabilities as decision variables to determine a level of employed resources minimizing the costs of the project. In addition to costs (cash outflows), researchers in the later extensions of the RIP took payments (cash inflows) received from clients into account and used the net present v...

in this paper, an efficient method for solving optimal control problemsof the linear differential systems with inequality constraint is proposed. by usingnew adjustment of hat basis functions and their operational matrices of integration,optimal control problem is reduced to an optimization problem. also, the erroranalysis of the proposed method is investigated and it is proved that the order o...

This paper presents a feedback control rule for the machine start-up adjustment problem when the cost function of the machining process is not symmetric around its target. In particular, the presence of a bias term in the control rule permits the process quality characteristic to converge to a steady-state target from the lower cost side, thus reducing the process quality losses incurred during...

Bundle adjustment is one of the main tools used for multiple view reconstruction. It seeks to refine the estimate of the 3D scene and the view parameter that minimize a certain cost function, e.g. the overall reprojection error. In this paper we propose a new algorithm to simplify the computation of the reprojection error for multiple views. With this algorithm, the bundle adjustment will be ac...