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In this paper, we propose, a new scheduling algorithm for LTE-A uplink systems entitled Multi-user Resource Allocation Process (MURAP). The latter supports uplink multi-user transmissions. Indeed, the main contribution of this work is to allocate the Physical Resources Blocks (PRBs) of all Component Carriers (CCs) to Real Time (RT) and-non Real Time (NRT) users using various criteria. Our proposed...
This paper investigates the joint user association (UA) and user scheduling (US) for load balancing in a wireless downlink heterogeneous network by formulating a network-wide utility maximization problem. In order to efficiently solve the problem, we first approximate the original non-convex throughput function to a concave function, and demonstrate that the gap for such approximation approaches zero...
Random linear network coding (RLNC) has been shown to efficiently improve the network performance in terms of reducing transmission delays and increasing the throughput in broadcast and multicast communications. However, it can result in increased storage and computational complexity at the receivers end. In our previous work we considered the broadcast transmission of large file to N receivers. We...
Governing how network resources are shared among various traffic flows is not a completely solved problem. The ideal system can implement a wide variety of detailed and flexible policies; enforces those policies under all possible offered traffic combinations and scales well with the number of flows. In this paper we introduce a framework that approximates the ideal system well. It consists of flow-aware...
Scheduling is one of the most important resource allocation for networked systems. Conventional scheduling policies are primarily developed under light-tailed (LT) traffic assumptions. However, recent empirical studies show that heavy-tailed (HT) traffic flows have emerged in a variety of networked systems, such as cellular networks, the Internet, and data centers. The highly bursty nature of HT traffic...
Storm has been a popular distributed real-time computation system for stream data processing, which currently provides an even scheduler to distribute all executors and workers of topology among all worker nodes. In this paper, we find that the even scheduler ignores the allocation and dependence relationship among slots. This would bring the load-unbalancing problem when the topology run failed and...
Data analytics frameworks shift towards larger degrees of parallelism. Efficient scheduling of data-parallel jobs (tasks) is critical for improving job performance such as response time, and resource utilization. It is an important challenge for large scale data analytics frameworks in which jobs are more complex and have diverse characteristics (e.g., diverse resource requirements). Prior work on...
A distributed scheduling algorithm for millimeter wave (mmW) mesh networks is studied in this paper. The suggested algorithm starts initially with a random feasible schedule determined in a cooperative way between the nodes then tries to reach better feasible schedules via parallel and successive local search for better schedules in a defined range for each node without violating the feasibility constraints...
In recent times, there has been an increase in the number of mobile devices to access a variety of services on radio access network, and the trend is expected to continue. In addition, ultra-low latency services require much bandwidth and often characterized by having extremely short delay constraints. Hence, satisfying required strong QoS requirement becomes challenging task. Existing scheduling...
The smart grid is a modern electricity grid that uses wireless technologies to control and supervise the substation and the electricity generation and consumption sides. Several wireless technologies can be used for smart grid communication such as Long-Term evolution (LTE) and Worldwide Interoperability for Microwave Access (WiMAX). However, LTE is the most compatible network for the smart grid because...
Power is quickly becoming a first class resource management concern in HPC. Upcoming HPC systems will likely be hardware over-provisioned, which will require enhanced power management subsystems to prevent service interruption. To advance the state of the art in HPC power management research, we are implementing SLURM plugins to explore a range of power-aware scheduling strategies. Our goal is to...
Orthogonal Frequency Division Multiple Access (OFDMA) has been adopted in the newest fifth generation radio networks (5G) such as Cloud Radio Access Networks (C-RANs) and Heterogeneous Cloud Radio Access Networks (H-CRANs). Therefore, new scheduling strategies should be projected. In 5G radio networks, restricted requirements must be considered to implement an effective service to users such as throughput,...
Hadoop MapReduce has nowadays become the de-facto standard for the Big-Data processing within Cloud datacenters. However, little is known about the influence of datacenter network topology on Hadoop performance, and suitability of various topologies for different workload distributions. By extending a publicly available simulator CloudSim, we simulate six well-known or recently proposed topologies...
This paper proposes a high-speed radio-resource scheduling scheme that achieves higher system throughput in ultra-high-density distributed antenna systems for 5G mobile communications systems. In 5G systems, the best combination of a huge number of antennas and user equipment for communications should be decided in the scheduling. The proposed scheme can search for the most suitable combination. It...
With development of wireless communication technologies, mobile devices are commonly equipped with multiple network interfaces and ready to adopt emerging transport layer protocols such as multipath TCP (MPTCP). The protocol is specifically useful for Internet of Things streaming applications with critical latency and bandwidth demands. To achieve full potential of MPTCP, major challenges on congestion...
Quality of service (QoS) requirements have paved the way to a great deal of research about scheduling and resource allocation mechanisms. The fairness and throughput maximization have been considered as classical techniques. These techniques fail to fit with different QoS requirements over the Long Term Evolution (LTE) systems. These QoS requirements are presented in the form of scheduling priorities,...
Coordinated Multi-Point (CoMP) transmission aims to improve the quality of service of User Equipments (UEs) at cell-edge. To achieve this, some Joint-Processing (JP) CoMP categories use more spectrum resources and thus reduce the spectrum resource for non-CoMP UEs. From the point of view of user experience, it is inappropriate that UEs which cannot benefit from CoMP or legacy UEs are penalized (by...
This paper proposes hybrid TDMA-CSMA for virtualized wireless networks, aiming to meet their isolation requirements. In this scheme, high-load users with non-empty queues are proper and potential candidates for TDMA, while others can compete using p-persistent CSMA. At each superframe, AP decides on TDMA-CSMA scheduling by taking into account traffic parameters of users and slice reservations to maximize...
In LTE, resource scheduling algorithm is one of the key parameters that determine the overall system and UE performances in terms of throughput and fairness respectively. Multiple scheduling techniques are available that emphasizes on optimizing any one of the key system performance parameters. Among them the most potential algorithms are proportional fair (PF) and round robin (RR). PF optimizes UE...
One of the ways to harness the radio bands that are not used by their primary owners, is to allow opportunistic use of the bands to be used by secondary users such that they do not interfere with the primary users. Most often, multiple secondary users contend to acquire the bands that are available. Proper scheduling techniques can resolve such contentions. However, all scheduling techniques have...
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