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Latency-critical workloads such as web search engines, social networks and finance market applications are sensitive to tail latencies for meeting Service Level Objectives (SLOs). Since unexpected tail latencies are caused by sharing hardware resources with other co-executing workloads, a service provider executes the latency-critical workload alone. Thus, the data center for the latency-critical...
Due to energy efficiency, heterogeneous computing is gaining more and more attention. Since FPGA implementations are time consuming, high-level synthesis (HLS) is used to close the productivity gap. OpenCL has become accepted as a good programming model for HLS, due to its portability, good capability of design verification and rich instruction set. This work implements different optimization strategies...
The increasing demand for underlaying cellular network has benefit form Device-to-Device (D2D) communication, where one need to apply productive plan for resource allocation to increase system capacity and mitigate interference. The bipartite graph matching strategy is used for optimizing the resource allocation among all other strategies; Kuhn-Munkres (KM) is one of algorithm applied to increase...
Over the past few years, Mobile Ad hoc net-works(MANETs) have gained importance in mission critical environments. Software defined radios(SDRs) have provided MANETs a platform for using Narrowband networking wave-form(NBNW) for concurrent voice and data transmissions. Traditional TDMA MAC protocols are not appropriate for such applications. In this paper we have proposed a distributed TDMA slot assignment...
Network virtualization is a promising solution to overcome the resistance to architectural changes in Internet, and virtual network embedding (VNE) is a remarkable challenge. Virtualization makes possible resource sharing as an effective energy saving technology, but few works consider energy consumption in the mapping. In addition, important QoS metrics, such as availability, are usually neglected...
In this paper, we propose a new power allocation method on non-orthogonal multiple access (NOMA) schemes in cellular uplink network. It is known that NOMA could be a promising candidate as a wireless access scheme for future 5G radio access technology. To enhance the spectrum efficiency, NOMA adopts a successive interference cancellation (SIC) receiver as the baseline receiver scheme for robust multiple...
In this paper, a novel Cross-layer Dynamic Bandwidth Allocation Algorithm Based on Convex Optimization Theory(CO-CDBA) in Digital Video Broadcast-Return Channel via Satellite system is proposed. A novel utility function by taking application layer, Data Link Layer and physical layer(PHY) parameters into account is established. The Dynamic Bandwidth Allocation(DBA) problem is converted to a convex...
We present a heuristic algorithm to address the optimization problem of routing and spectrum allocation, aimed at traffic protection and restoration in an elastic optical network. The algorithm searches for working and backup disjoint paths, using the shared path protection scheme. It divides the spectrum into two partitions and prioritizes slots in one of them for backup path traffic. The way the...
In Elastic Optical Net-works (EONs), dynamic allocation and release of lightpaths will lead to frequency spectrum fragment issue which making the optical spectrum into non-aligned, isolated and small-sized spectrum segments. Defragmentation strategies are key issues to minimize this problem. In this paper, we investigate the states of spectrum when the bandwidth blocking probability (BBP) is high,...
A mode conversion-based crosstalk-aware routing, spectrum and mode assignment (MC-CA RSMA) algorithm is introduced in space-division multiplexing elastic optical networks (SDM-EONs) over few-mode fibers. Simulation results show the MC-CA RSMA algorithm can greatly reduce the impact of inter-mode crosstalk on network performance compared with benchmark algorithms.
Large-scale disasters (such as earthquake, flood, tornado) may cause severe network failures, leading to massive disruptions and data loss. Particularly, the aftermaths of disasters may further threaten the residual network and impact the existing/survived service connections. In this paper, we study a reliability based restoration scheme for recovering the impacted (disrupted and/or reliability-decreased)...
Recently, CPU and graphics processors have been increasing the degree of on-chip parallelism in order to combat the decrease in traditional Moore's Law scaling. As a result, these new processors are increasing their appetite for faster memory devices with higher bandwidth. Component manufacturers have resorted to disparate or hierarchical fast memory device architectures such as shared local memory...
We address the problem of optimizing global shared memory usage in deeply heterogeneous accelerators in the context of HPC systems running multiple applications with different quality of service levels. We explore predictive memory allocation algorithms, allowing to serve up to 28% more high priority requests when using a moving average based prediction in a low-workload scenario.
The rapid growth of mobile network traffic has posed a serious challenge to the limited spectrum. The United States Federal Communications Commission (FCC) allowed the utilization of unused TV White Space (TVWS) by unlicensed secondary users (SUs). Particularly, the IEEE 802.19.1 standard is proposed to regulate the coexistence of dissimilar or independently operated SU networks and devices on the...
Resource competition, a serious problem in many actual networks, largely influence the network performance and may lead to network congestion. The allocation of link's bandwidth resource is a key process to relieve the situation. Researchers have put forward some strategies to improve the network capacity. They thought that the allocation strategies were determined by the importance of each link which...
Smart Cloud resource management has gained much research interest in recent years. Optimized resource allocation is necessary while moving from existing computing infrastructure to smart cloud infrastructure. This will allow cloud service providers to get more benefits out of what they already have, increasing capacity and efficiency of existing cloud infrastructure. Optimal Virtual Machine (VM) allocation...
With the maturity and proliferation of Software-Defined Networking (SDN), there has been an increasing number of network deployments that provide dedicated connections through on-demand and in- advance scheduling in support of data-intensive applications for global scientific collaboration. In such dedicated network environments, bandwidth scheduling serves as a key technique to improve the utilization...
Disasters, such as earthquake, tsunami, tornado, and malicious attack, may cause large-area, geographically correlated and/or cascading failures in telecom networks, leading to massive connection disruptions and instability of network state. In this paper, we study survivability strategies to alleviate the effect of disasters to telecom networks, e.g., Wavelength-Division-Multiplexing (WDM) optical...
This paper proposed a novel DWBA scheme for wavelength-agile based NG-EPON to cater frame resequencing problem and to improve fairness among ONUs while maintaining low packet delay for online scheduling upstream bandwidth on multiple wavelengths.
We propose an inter-core crosstalk-aware routing, spectrum and core allocation scheme with spectrum bands and spatial Sp-Chs in multi-dimensional optical networks to get higher SE and lower XT. 15% reduction in XT is achieved.
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