-This paper describes a hierarchy of models and information systems being developed by integrated producers of corrugated containers to aid in the process of planning and scheduling their operations. The initial focus is on eight easily identifiable decision areas and the tools available to deal with them. The eight decision areas are paper machine loading, master scheduling, trimming, boxcar l...

Scheduling divisible workloads in distributed systems has been one of the interesting research problems over the last few years. Most of the scheduling algorithms previously introduced are based on the master-worker paradigm. However, the majority of these algorithms assume that workers are dedicated machines, which is a wrong assumption in distributed environments such as Grids. In this work, ...

In this paper, we explore the feasibility of enabling the scheduling of mixed hard and soft real-time MapReduce applications. We first present an experimental evaluation of the popular Hadoop MapReduce middleware on the Amazon EC2 cloud. Our evaluation reveals tradeoffs between overall system throughput and execution time predictability, as well as highlights a number of factors affecting real-...

Traditional design approaches to safety-critical distributed systems, due to fault-tolerance reasons, have typically considered static cyclic table-based traffic scheduling. However, there is a growing demand for flexibility and integration, mainly to improve efficiency in the use of system resources, with the network playing a central role to support such properties. This calls for dynamic on-...

Enterprises to achieve global optimization and better diversification and personalized product production scheduling, from the unity of the tasks and resources manufacturing, based on the perspective of global optimization in production scheduling method. With global production scheduling of matching and process model resources as the foundation for the realization of enterprise process product...

Column generation is often used to solve problems involving set-partitioning constraints, such as vehicle-routing and crew-scheduling problems. When these constraints are in large numbers and the columns have on average more than 8–12 nonzero elements, column generation often becomes inefficient because solving the master problem requires very long solution times at each iteration due to high d...

The computing and communication resources of high performance computing systems are becoming heterogeneous, are exhibiting performance fluctuations and are failing in an unforeseeable manner. The Master-Slave (MS) paradigm, that decomposes the computational load into independent tasks, is well-suited for operating in these environments due to its loose synchronization requirements. The applicat...

The use of an appropriate methodology for calculating the communication cost, time complexity and performing task scheduling in massively parallel processing systems plays a significant role in improving the functionality of a message-passing architecture. This paper presents an existing message passing architecture (MSH 4-Cube) which is based on Master-Slave Super-Hypercube (MSSHP) topology. B...

This paper presents a method that combines Benders decomposition and column generation to solve the multi-activity tour scheduling problem. The Benders decomposition approach iterates between a master problem that links daily shifts with tour patterns and a set of daily subproblems that assign work activities and breaks to the shifts. Due to its structure, the master problem is solved by column...

Evaluation Findings Evaluators found many examples of high-quality crosscurricular projects and, when those were not present, often an academic teacher had integrated technical concepts into lessons. Staff interviewed for the evaluation acknowledged the value of an integrated curriculum and a desire to develop more of it, but admitted that they lacked either the capacity or the time to collabor...