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Network Function Virtualization (NFV) explores the virtualization technologies to offer Network-as-a- Service (NaaS) through connected virtual network functions. The network operations that were previously performed by specialized hardware are consolidated as software-based virtual network functions (VNFs). These VNFs can be implemented in the telecom clouds with high volume servers, switches and...
Delay-tolerant sensor networks (DTSNs) require efficient MAC transmission strategies that include energy constraint, relaxed latency, mobility support and diverse traffic load. Reservation-based and contention-based MAC schemes are used to improve throughput and energy consumption. In this paper, we propose a traffic adaptive, energy-efficient MAC protocol to achieve better data transmissions and...
To make full use of space/air resources, a Space-Air Integrated Network (SAIN) which is a hierarchical network with satellites, airships and hovering Unmanned Aerial Vehicles (UAVs) is constructed. Nowadays, Free Space Optical (FSO) links have been widely applied in SAINs since they provide high-rate and large-capacity data transmission. Unfortunately, the FSO links across the atmosphere would perform...
Determining an optimal placement for active measurement points in an arbitrary network topology is challenging. Software-defined infrastructure and the virtualization of network functions imply that re-optimized placement is needed frequently to keep up with dynamic changes in the infrastructure. We present a novel genetic algorithm that was defined for optimizing the placement of active measurement...
Network Function Virtualization (NFV) is promising to lower the network operator's capital expenditure and operational expenditure by replacing proprietary hardware-based network equipment with software-based virtual network functions that can be consolidated into telecom clouds. In particular, NFV provides an efficient way to deploy network services using service function chains that consist of a...
Distributed stream processing platforms is a new class of real-time monitoring systems that analyze and extracts knowledge from large continuous streams of data. This type of systems is crucial for providing high throughput and low latency required by Big Data or Internet of Things monitoring applications. This paper describes and analyzes three main open-source distributed stream- processing platforms:...
In recent years, a significant amount of research has been conducted to explore the benefits of network coding in different scenarios, from both theoretical and simulation perspectives. In this paper, we utilize queueing theory to propose an analytical framework for bidirectional unicast flows in multi-hop wireless mesh networks, and study throughput of inter-flow network coding. We analytically determine...
In fat-tree data center networks, routing a packet from its source to destination includes two phases, upstream (i.e. from source to watershed switch) and downstream (i.e. from watershed switch to destination). The throughput/non-blocking performance of networks hinges much on the effects of two phases above. In this paper, we propose a new routing algorithm called Global Round Robin (GRR) for fat-tree...
In recent years a large number of LEO (Low Earth Orbit) satellites have been launched into space for various applications, such as weather forecast, environment monitoring and military surveillance. One important task of these satellites is to collect data and download them to Earth Stations (ESs) for further processing. Since LEO satellites fly at high speeds and have very limited contact time with...
Due to the irregular topology of ultra dense cellular network (UDN), base station (BS)-centric methods are usually with low spectrum efficiency and not flexible for quality-of-service (QoS) guaranteeing. This paper investigates the QoS-aware interference coordination in UDN from a user-centric way (UCQA-IC). Targeting at enhancing the spectrum efficiency and user experience with controlled inter-cell-interference...
With the explosive growth of mobile traffic demand, device-to-device (D2D) communication offers a promising approach to reduce cellular congestion by offloading users' traffic to D2D network. In this paper, we consider a relay- assisted D2D communication in underlay cellular networks, where D2D users access a proportion of the spectrum occupied by cellular users. This poses two fundamental issues...
Betweenness centrality is a popular metric in social science, and recently it was adopted also in computer science. Betweenness identifies the node, or the nodes, that are most suitable to perform critical network functions, such as firewalling and intrusion detection. However, computing centrality is resource-demanding, we can not give for granted that it can be computed in real time at every change...
This paper proposes the Topology-aware Virtual Machine Selection (TAVMS) algorithm to choose sets of communicating groups of virtual machines (VMs) to be migrated to other data centers, aiming at global energy savings. It considers the migration of groups of VMs as well as the data center network topology, selecting VM groups with network proximity in order to increase the potential number of equipments...
As online social networks grow in both size and connectivity, epidemic information dynamics in such networks is attracting considerable research interests, due to its impact on both the network and individuals. This paper studies control of malicious information (virus) epidemic with replicable antidote information, taking topological characteristics of the underlying graph into consideration. Specifically,...
Abstract-Optical data center network architectures are be- coming attractive because of their low energy consumption, large bandwidth, and low cabling complexity. In [1], an AWGR-based passive optical data center architecture (PODCA) is presented. Compared with other optical data center architectures, e.g., DOS [2], Proteus [3], and Petabit [4], PODCA can save up to 90% on power consumption and 88%...
With the proliferation of cloud computing and the expected requirements of future Internet of Things (IoT) and 5G network scenarios, more efficient and scalable Data Centers (DCs) will be required, offering very large pools of computational resources and storage capacity cost-effectively. Looking at todays' commercial DCs, they tend to rely on well-defined leaf-spine Data Center Network (DCN) topologies...
Multipath routing, which is increasingly common in today's Internet, can lead two end-hosts to own multiple routing paths. This will impose adverse effects on most of the current network measurement methods, as they generally need to assume a single active path between any pair of end-hosts at any given time. In this paper, we attempt to identify whether multipath routing exists between two end-hosts...
With the increasing popularity of cloud computing, the huge amount of energy consumed by data centers has gained much attention. Current proposals address the energy efficiency problem by two major methods: optimizing the allocation of physical servers and network elements (routers or switches). In order to improve resource utilization and minimize the energy consumption, the former method focuses...
In this paper, a cooperative diffusion-based molecular communication system is considered where distributed receivers collaboratively determine a transmitter's signal. In this system, the receivers first make local hard decisions about the current transmitted bit and then report these decisions to a fusion center (FC). The FC combines the local hard decisions to make a global decision using an N-out-of-K...
This paper presents an eigendecomposition approach for virtual resource embedding in cloud infrastructures. Instead of relying on combinatorial or iterative approaches, the method uses structural description of resource graphs to achieve near optimal joint node and link mapping. The solution extends and generalizes prior work on eigendecomposition of the adjacency matrices for undirected graphs to...
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