In the past decade Optical WDM Networks (Wavelength Division Multiplexing) are being used quite often and especially as far as broadband applications are concerned. Message packets transmitted through such networks ca...
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This paper considers the problem of capacity augmentation in energy efficient road-side unit (RSU) deployments. RSU placements for a road network, and a set of vehicular traffic flow design traces are used as inputs. ...
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ISBN:
(纸本)9781538611050
This paper considers the problem of capacity augmentation in energy efficient road-side unit (RSU) deployments. RSU placements for a road network, and a set of vehicular traffic flow design traces are used as inputs. The objective is to find an RSU radio capacity assignment that minimizes the long-term operating expenditure costs subject to meeting packet deadline constraints with a given packet loss rate target. A procedure, referred to as the capacity augmentation (CA) algorithm, is proposed that iterates over the RSUs, selecting candidates for capacity augmentation based on their packet loss rate sensitivities. A variety of results are presented that characterize and compare the performance of the CA Algorithm using a greedy online packet scheduler. In particular, we show how to counterbalance the lack of causality in designing the RSU network when it is used for the online scheduling of incoming transmission requests. The comparisons include those using energy-optimal offline scheduling obtained by solving an integer linear program (ILP) formulation. It is shown that the CA Algorithm is an efficient way to assign RSU radio capacity that achieves the desired performance objectives.
High performance grid computing is a key enabler of large scale collaborative computational science. With the promise of exascale computing, high performance grid systems are expected to incur electricity bills that g...
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This paper proposes a new scheduling scheme which based on user perception, Channel- and QoS-Aware (known as E-MQS scheduler) for real-time traffics in LTE downlink direction. The proposed scheduling scheme is based o...
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This paper proposes a new scheduling scheme which based on user perception, Channel- and QoS-Aware (known as E-MQS scheduler) for real-time traffics in LTE downlink direction. The proposed scheduling scheme is based on the extension of the E-model and the consideration of Maximum Queue Size (MQS) as a an essential factor for the metric. The proposed scheduling scheme is evaluated in LTE heterogeneous traffic with mobility. The simulation results show that the proposed scheduler not only satisfies QoS requirements of real-time services but also outperforms the Frame Level Scheduler (FLS), Modified Largest Weighted Delay First (M-LWDF) and Exponential/Proportional Fair (EXP/PF) schedulers in terms of delay, cell throughput, Fairness Index (FI) and Spectral Efficiency (SE), especially for Video flow. The proposed scheduler also significantly improves the Packet Loss Rate (PLR) in comparison with the M-LWDF and EXP/PF schedulers for both VoIP and Video flows.
A hot topic recently attracted much interest in 3GPP community is ultra reliable low latency communications. While specific protocols for such type of communications are under development, in this paper we evaluate ho...
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ISBN:
(纸本)9781509050505;9781509050499
A hot topic recently attracted much interest in 3GPP community is ultra reliable low latency communications. While specific protocols for such type of communications are under development, in this paper we evaluate how well we can meet strict quality of service requirements in the current LTE/LTE-Advanced networks. Specifically, we design a new two-step radio resource management algorithm for reliable low latency communications. At the first step, the algorithm forms a high-priority group of users which can be reliably served within the given delay budget. At the second step, the algorithm solves a linear optimization problem and allocates resource blocks to meet quality of service requirements at least for the users from the high-priority group. With simulations, we show that the proposed algorithm outperforms existing ones in terms of goodput, PLR and the number of satisfied users.
Performance of a Heterogeneous Computing Environment (HCE) mainly depends on the efficiency of application workflow scheduling algorithms. Achieving high efficiency of application workflow scheduling algorithms in HCE...
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Performance of a Heterogeneous Computing Environment (HCE) mainly depends on the efficiency of application workflow scheduling algorithms. Achieving high efficiency of application workflow scheduling algorithms in HCE is an NPComplete problem. A novel application workflow scheduling algorithm called Heterogeneous Dynamic List Task scheduling (HDLTS) for HCE is proposed in this paper. The functionality of HDLTS majorly relies on the following three pillars; first, duplicate the entry task only if it helps to reduce the overall application execution time; second, for mapping, consider only those tasks that have all the necessary input conditions to start the execution and find out the heterogeneity of their execution time on the computational resources; third, select the task that has higher execution time heterogeneity, and map it to a resource that takes minimum time to execute the task. The HDLTS task selection and mapping policies dynamically consider the resource utilization and task assignment that makes it more efficient and enables it to produce good quality schedules. The performance of the HDLTS is evaluated against popular list scheduling algorithms on randomly generated application workflows and real world application workflows. Experimental results prove that the HDLTS outperforms well-known list scheduling algorithms, such as in terms of schedule length and efficiency.
We discuss one of the most fundamental scheduling problem of processing jobs on a single machine to minimize the weighted flow time (weighted response time). Our main result is a O(log P)-competitive algorithm, where ...
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The worldwide installation of Fiber-to-the-premises (FTTP) access network solutions is hindered by the high upfront cost of deploying ubiquitous fiber infrastructure. While passive optical networks can provide lower c...
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ISBN:
(纸本)9781509040063
The worldwide installation of Fiber-to-the-premises (FTTP) access network solutions is hindered by the high upfront cost of deploying ubiquitous fiber infrastructure. While passive optical networks can provide lower cost compared to point-to-point solutions, their total cost of ownership is still high for most operators to justify a mass scale deployment. Sharing passive optical network (PON) infrastructure has thus been proposed as a solution for network operators to reduce the cost of running FTTP services. In addition, the ability for operators to offer business services (including for example mobile backhaul) in addition to residential services, is crucial to increase the overall PON network revenue. However running services with highly diverse requirements over a physical infrastructure shared among multiple operators (which we now refer to as virtual network operators -VNOs) requires VNOs to have a tight control over PON capacity scheduling. In this paper, we introduce a novel upstream PON capacity sharing algorithm called Frame Level Sharing (FLS). FLS is based on the idea of virtual Dynamic Bandwidth Assignment (vDBA), and allows sharing the upstream frame among multiple VNOs to maximize bandwidth utilization, minimize latency, and provide a high level of service isolation among the VNOs sharing the PON. Our simulation results show that FLS outperforms other benchmark algorithms proposed in the literature.
With the advancement of health care and technology, establishing a highly fast, accurate, and efficient medical system has been an ultimate goal for a country or a government. When a large-scale disaster with dozens o...
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With the advancement of health care and technology, establishing a highly fast, accurate, and efficient medical system has been an ultimate goal for a country or a government. When a large-scale disaster with dozens of patients or more occurs, it often results in short supply of immediate medical resources to the patients, such as long waiting time for ambulances that causes a patient's death. In this paper, we establish a hybrid resource allocation system to model the problem as a hard real-time problem, and analyze two current scheduling algorithms for real-time system, namely clock driven (e.g. hospital assignment for emergency patients, HAEP) and priority driven (e.g. earliest deadline first, EDF). We further design a medical resource allocation algorithm which aims to reduce the computing time of the system and improve the accuracy of the allocation of medical resources. By making it suitable for large-scale disaster, it is hoped to be adopted by the disaster relief personnel and the government.
As the development of processors/SoCs (Systemon-Chips), NoC (Network-on-Chip) consumes an increasing fraction of the modern processors/SoCs power. Thus, designing energy-efficient NoC architecture is imperative. Multi...
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ISBN:
(纸本)9781509055081
As the development of processors/SoCs (Systemon-Chips), NoC (Network-on-Chip) consumes an increasing fraction of the modern processors/SoCs power. Thus, designing energy-efficient NoC architecture is imperative. Multi-NoC (Multiple Network-on-Chip) behaves well in power gating for reducing leakage power, which constitutes a significant fraction of NoC power. In this paper, we propose CRA, a novel Multi-NoC design with distinct routing algorithms for different subnets. Integrated with a congestion-aware power gating and packet scheduling policy, CRA is able to achieve low power without degrading performance at varying network utilization. Our experimental results show that CRA consumes an average of 15.58% less power than Catnap, the state of the art power efficient Multi-NoC design, and the EDP (energy delay product) is 8.59% lower than Catnap on average.
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