Recent advances in Information and Communication technologies have made multimedia on demand services technically and economically feasible. An important aspect of such systems is the resource sharing technique, which allow the contemporaneous service of a large number of user requests with a considerable saving in terms of network bandwidth and server resources. In this paper, we report the re...

This paper discusses a two-stage assembly-type flowshop scheduling problem with batching considerations subject to a fixed job sequence. The two-stage assembly flowshop consists of m stage-1 parallel dedicated machines and a stage-2 assembly machine which processes the jobs in batches. Four regular performance metrics, namely, the total completion time, maximum lateness, total tardiness, and nu...

We present an algorithmic approach for speeding up SSL’s performance on a web server. Our approach improves the performance of SSL’s handshake protocol by up to a factor of 2.5 for 1024-bit RSA keys. It is designed for heavily-loaded web servers handling many concurrent SSL sessions. We improve the server’s performance by batching the SSL handshake protocol. That is, we show that b SSL handshak...

In this paper we will consider a one-machine batching problem which is a combination of a sequencing and a partitioning problem. We will develop an exponential neighborhood for this problem which can be evaluated in quadratic time using shortest path calculations. Results of a computational study are reported.

Position-based dynamics (PBD) is an efficient and robust method for animating soft bodies, rigid bodies and fluids. Recently, this method gained popularity in the computer animation community because it is relatively easy to implement while still being able to synthesize believable results at interactive rate. The animated bodies are modeled by using a large set of linearized geometrical constr...

In this paper, we explore the parallel implementation of the backpropagation algorithm with and without hidden layers on MasPar MP-1. This implementation is based on a SIMD architecture, and uses a backpropagation model. Our implementation uses weight batching versus on-line updating of the weights which is used by most serial and parallel implementations of backpropagation. This method results...

In e-commerce markets, on time delivery is of great importance to customer satisfaction. this paper, we present a Deep Reinforcement Learning (DRL) approach for deciding how and when orders should be batched picked in warehouse minimize the number tardy orders. particular, technique facilitates making decisions whether an order individually (pick-by-order) or batch with other (pick-by-batch), i...

The effect of time bucket length on the choice of a lot-splitting approach is studied. Due to the continuing pressure to reduce throughput times and increase efficiency, managers apply various measures, such as lot splitting and cycle time reduction programmes, that change the length of the time bucket in their planning systems. It is shown that the choice for a suitable lot-splitting approach ...