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Virtual machine (VM) consolidation and switch/path consolidation are two typical techniques for improving energy efficiency in data centers (DCs). Most of existing work separately optimize VM consolidation and switch consolidation which results in inferiority of the optimization performance. Moreover, these work usually handle a user application as a VM flow (i.e., a source VM is connected to a destination...
With the development of satellite communication technologies and user requirements for pervasive network access, there is a trend to integrate satellites into the terrestrial network infrastructure. Such kind of satellite-terrestrial network is often used for content delivery services as satellites are with wide-area coverage. In terrestrial networks such as Internet, in-network caching has been proved...
The developments of network infrastructures and personal intelligent devices, e.g., smart phones, makes the multimedia related services play an important role in network user applications. However, users are still troubled by limited bandwidth, burst of incoming service requests, and imbalance of content dissemination while enjoying the multimedia services. In this paper, we proposed a user grouping-based...
Load-balancing and network optimization in SDN networks require efficient flow splitting during the path computation phase. The way flow splitting is typically implemented in switches is to map the output of an hash function computed on the headers of incoming flows to the content stored in a Ternary Content Addressable Memory (TCAM), a very efficient but scarce resource. Although a large TCAM budget...
Traffic engineering (TE) has long been used by network providers to reduce network congestion and improve resource utilization. Due to its significance, several traffic engineering algorithms have been proposed in literature. However, most of these algorithms optimize maximum link utilization (MLU) in network, and/or assume that network has the capability to route demands on arbitrary paths. Optimizing...
Heterogenous wireless networks (Hetnets) provide a powerful approach to meet the massive growth in traffic demands, but also impose a significant challenge on backhaul. Caching at small base stations (BSs) and wireless small cell backhaul have been proposed as attractive solutions to address this new challenge. In this paper, we consider the optimal caching and user association to minimize the total...
As more and more data-intensive applications have been moved to the cloud, the cloud network has become the new performance bottleneck for cloud applications. To boost application performance, the concept of coflow has been proposed to bring application-awareness into the cloud network. A coflow consists of many individual data flows, and a coflow is completed only when all its component flows are...
An important class of modern big data applications is distributed data production in High Energy and Nuclear Physics (HENP). Such data intensive computations heavily rely on geographically distributed resources featuring hundreds of thousands CPUs and petabytes of storage. Unfortunately, classical job scheduling approaches either do not address all the aspects of the case or do not scale appropriately...
Nowadays, data centers deploy a large number of servers and network devices to provide various service functions (e.g. firewalls, deep packet inspection, content caches, WAN optimizers, etc.) and sufficient network connection. Most traffic in data centers is subject to treatment by multiple service functions (SFs) which form an ordered service function chain (SFC). In this paper, we study the energy-aware...
Spectrum aggregation provides a promising approach to improve the network capacity for Cognitive Radio Ad-Hoc Networks (CRAHNs). Resource allocation for spectrum aggregation-based CRAHNs has become one of the main issues. In this paper, we propose a cross-layer optimization for CRAHNs with the spectrum aggregation. The main objective of our paper is to maximize the network throughput under the network...
Cloud service providers are building out geographically distributed networks of datacenters around the world. It is customary for cloud service providers to distribute their data replicas at multiple geographic locations to mitigate user latency and to increase service availability. In this paper, we treat the content distributed from one datacenter to multiple datacenters as a multicast session....
This paper studies the design of standard CMOS two-stage operational amplifiers under power consumption and area constraints. The focus of the work is unity-gain bandwidth optimization, which is achieved by means of a procedure based on numerical analysis that allows determining the optimum sizing of op-amp transistors and the compensation capacitance as well as the best splitting of the allowed bias...
The Ultra Dense Network (UDN), as a key enabler for future wireless networks (such as 5G), is comprised of a massive number of small cells in the network. Nonetheless, energy consumption will be non-negligible when a large number of smallcell Base Stations (BSs) are densely deployed. One practical and effective approach to reduce the energy consumption of the UDN is through dynamically controlling...
For achieving various network optimization and management goals in data centers, some VMs need to be migrated from the initial servers to the target ones. Live VM migration is an effective technique to achieve these goals. When multiple VMs need to be migrated at the same time, the migration order and migration bandwidth has a great impact on migration performance. For making an effective VM migration...
Software-Defined Network (SDN) allows a centralized controller to globally plan packets forwarding according to the operator's objectives. It may require more forwarding rules, and multi-path routing which is allowed in SDN to improve network utilization and throughput means more forwarding rules. However, the forwarding table in TCAM-based SDN switch is an important but limited resource. With this...
Arterial coordinated control has practical significance for transit priority control when intersection spacing is relatively short and similar. In this paper we purpose a two-way green-wave optimal signal priority control model for rail transit, the objective is to maximize passenger vehicles' bandwidth of green wave under the constraint of transits' bandwidth with the consideration of transits' and...
We study the design of moderate-length discrete-time pulse-shaping filters used in data communications, focusing on the tradeoff between ISI, out-of-band power, and filter length. Oversampling ratio M=2 and 4 is studied for both symmetric and asymmetric impulse responses. Numerical minimization of out-of-band power, subject to constraints on ISI, is our primary tool.
One of the central problems in machine learning and pattern recognition is how to deal with high-dimensional data either for visualization or for classification and clustering. Most of dimensionality reduction technologies, designed to cope with the curse of dimensionality, are based on Euclidean distance metric. In this work, we propose an unsupervised nonlinear dimensionality reduction method which...
We consider the problem of designing probing signals for a Multi-Input Multi-Output (MIMO) radar. The goal is to design a signal vector with a desired covariance while ensuring the side-lobes of the ambiguity functions are small. We will also consider cases in which a bandwidth constraint is placed on the signal. Since covariance matrices are structurally constrained, they form a manifold in the signal...
Sufficient dimension reduction (SDR) is a popular framework for supervised dimension reduction, aiming at reducing the dimensionality of input data while information on output data is maximally maintained. On the other hand, in many recent supervised classification learning tasks, it is conceivable that the balance of samples in each class varies between the training and testing phases. Such a phenomenon,...
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