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This paper proposes a scheduling approach for mobile uplink WiMAX system that provides a trade-off between delay requirement satisfaction and throughput maximization. The paper starts by introducing three scheduling algorithms each with a different objective. The first aim is to maximize the throughput of the system, while maintaining the user fairness. The second aim is to satisfy the delay requirements...
The review of the requirements of different cloud applications identified the need to consider communication processes explicitly and equally to the computing tasks. Following this observation, we propose a new communication-aware model for cloud computing applications, called CA-DAG. This model is based on Directed Acyclic Graphs (DAGs) that in addition to computing vertices include separate vertices...
In the cellular network, Device-to-Device (D2D) communication is considered to be a promising resource reuse strategy, which can enable local service opportunities and reduce system load for short-range communication. In order to suppress the interference from D2D users, the scheduler should allocate resources and select communication mode appropriately. In this paper, we analyze the constraints and...
This paper presents a novel approach for stream-based admission control and job scheduling for video transcoding called SBACS (Stream-Based Admission Control and Scheduling). SBACS uses queue waiting time of transcoding servers to make admission control decisions for incoming video streams. It implements stream-based admission control with per stream admission. To ensure efficient utilization of the...
Divisible Load Theory (DLT) has received a lot of attention in the past decade. A divisible load is a perfect parallel task, that can be split arbitrarily and executed in parallel on a set of possibly heterogeneous resources. The success of DLT is strongly related to the existence of many optimal resource allocation and scheduling algorithms, what strongly differs from general scheduling theory. Moreover,...
Due to the power consumption issue of user equipment (UE), Single-Carrier FDMA (SC-FDMA) has been selected as the uplink multiple access scheme of 3GPP Long Term Evolution (LTE). Similar to OFDMA downlink, SC-FDMA enables multiple UEs to be served simultaneously in uplink as well. However, the single carrier characteristic requires that all the allocated subcarriers to a UE must be contiguous in frequency...
This work presents a new Petri nets based approach for modeling discrete event systems in which activities compete for common resources. The new approach is known as Activity-Oriented Petri Net (AOPN). AOPN allows modelers to concentrate on modeling activities, and the resources are left to be managed by the underlying system; this approach allows compact and much simpler models even for large and...
Video streaming, in particular, hypertext transfer protocol based (HTTP) adaptive streaming (HAS) of video, is expected to be a dominant application over mobile networks in the near future. The observation that the base station can alter the video quality requested by a HAS client to its server by controlling the over-the-air throughput from the base station to the client implies that the base station...
LTE uplink frequency scheduling algorithms have neglected the user equipment's (UE) QoS requirements, relying only on the time domain to provide such requirements when creating the allocation matrix for the next transmission time interval. Two time domain paradigms exist for creating the resource allocation matrix: channel-dependent and proportional fairness. The channel dependent paradigm considers...
The performance of Direct Sequence Code Division Multiple Access (DS-CDMA) based systems highly depends on the interference caused by multiple transmissions. Interference reduction may result by using time scheduling of the transmitting nodes and by allocating accordingly the power level, and the source and channel coding rate for each node. In this work, we study the joint intra-cell scheduling and...
Reducing energy consumption is an increasingly important issue in cloud computing, more specifically when dealing with a cloud distribution dispatched over a huge number of machines. Minimizing energy consumption can significantly reduce the amount of energy bills, and the greenhouse gas emissions. Therefore, many researches are carried out to develop new methods in order to consume less energy. In...
Long Term Evolution (LTE) has been proposed as a promising radio access technology to bring higher peak data rates and better spectral efficiency. However, scheduling and resource allocation in LTE still face huge design challenges due to their complexity. This paper divides the complex problem into three sub-problems: scheduling pattern, scheduling priority and quantity of scheduled data. Based on...
We propose a cross-layer algorithm for the down link multiuser orthogonal frequency division multiplexing (OFDM) system. The goal of this algorithm is to ensure fairness among users while preserving the full system throughput as close as possible to the system throughput upper bound. For this, a function is formulated to designate which packet will be scheduled at any given time. This function takes...
In this paper, A power-saving scheduling algorithm (PSA) for mixed multicast and unicast traffic is proposed in multicast and broadcast single frequency network (MBSFN). This algorithm is designed on the purpose of reducing the terminal's energy consumption and improving system capacity. By MBSFN area scheduling scheme the throughput of multicast users is increased. And the users' energy consumption...
Cloud computing is emerging as an important platform for business, personal and mobile computing applications. In this paper, we study a stochastic model of cloud computing, where jobs arrive according to a stochastic process and request resources like CPU, memory and storage space. We consider a model where the resource allocation problem can be separated into a routing or load balancing problem...
In cloud computing the allocation and scheduling of multiple virtual resources, such as virtual machines (VMs), are still a challenge. The optimization of these processes bring the advantage of improving the energy savings and load balancing in large data centers. Resource allocation and scheduling also impact in federated clouds where resources can be leased from partner domains. This paper proposes...
We investigate in this paper the resource allocation in wireless multi-hop network and we propose a cross layer based scheduling that takes into account the efficiency of advanced (smart) antenna techniques to increase network capacity by maximizing the number of concurrent transmissions without increasing interference. The proposed algorithm is applied to a WiMAX multi-hop network simulated using...
With active deployment of virtualization in large scale data centers and cloud computing environments, allocation and scheduling of virtual and physical resources raise more challenges and may have negative impacts on system performance due to: (1) the isolation between the guest Virtual Machines (VMs) and the Virtual Machines Monitor (VMM), and (2) the independent and even conflicting operations...
Reducing energy consumption is an increasingly important issue in cloud computing, more specifically when dealing with High Performance Computing (HPC). Minimizing energy consumption can significantly reduce the amount of energy bills and then increases the provider's profit. In addition, the reduction of energy decreases greenhouse gas emissions. Therefore, many researches are carried out to develop...
We investigate the network utility maximization (NUM) problem when layered modulation is used at the physical layer of a downlink wireless system. The key idea is to transmit to more than one users with favorable and unfavorable channel qualities at the same time by employing hierarchical constellations. We demonstrate that average throughput of users with unfavorable channel conditions are significantly...
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