Welcome to the special issue of Future Generation Computer System (FGCS) journal. This special issue compiles a number of excellent technical contributions that significantly advance the state-of-the-art in federated management [1–3] of Grid and Cloud computing environments. Federated management of administratively distributed grids and clouds offers significant benefits including: (i) improvin...

The intrinsic and pervasive uncertainty of the real world causes unforeseen disturbances during the execution of plans. The continuous adaptation of existing schedules is necessary in response to the corresponding disruptions. Affected Operations Rescheduling (AOR) and Matchup Scheduling (MUP) have proven to be efficient techniques for this purpose, as they take only a subset of future activiti...

This paper presents a new approach to the scheduling problem in high level synthesis. In this approach, iterative rescheduling processes are performed in a branch-andbound manner, starting with the as soon as possible scheduling result, so as to find the scheduling result of the lowest hardware cost under the given timing constraint. At each iteration step, only the candidate nodes are selected...

This paper draws an overview of various quantitative rescheduling models that have been developed in past research in dealing with delay management of passenger railway services. In general, the quantitative models highlighted aimed to reduce or minimize the service delays experienced by passengers when service disruptions occur. In many literatures observed, the delay management problems are f...

Unplanned and abnormal events may have a significant impact on the feasibility of plans and schedules which requires to repair them ‘on-the-fly’ to guarantee due date compliance of orders-in-progress and negotiating delivery conditions for new orders. In this work, a repair-based rescheduling approach based on the integration of intensive simulations with logical and relational reinforcement le...

The hybrid flow shop is a typical discrete manufacturing system. A novel method is proposed to solve the shop scheduling problem featured with uncertain processing times. The rolling horizon strategy is adopted to evaluate the difference between a predictive plan and the actual production process in terms of job delivery time. The genetic regulatory network-based rescheduling algorithm revises ...

Disruptions of a railway system are responsible for longer travel times and much discomfort for the passengers. Since disruptions are inevitable, the railway system should be prepared to deal with them effectively. This paper explains that, in case of a disruption, rescheduling the timetable, the rolling stock circulation, and the crew duties is so complex that solving them manually is too time...

Allocation of resources whether man power or tools are ubiquitous tasks in factories hospitals airline and communication network companies It is also an example of many decision making problems involving complex and changing criteria It presents unusual challenges to information systems both from modeling and problem solving points of view This paper presents an application of information visua...

The optimal trajectory planning problem for trains under operational constraints is considered, which is essential for the success of the real-time operation and the rescheduling process for railway networks. The operational constraints caused by the timetable, real-time operation, or rescheduling often include target points and target window constraints. The approach proposed in this paper can...