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Biological molecules (e.g. DNAs, RNs, proteins, etc.) do not function in isolation themselves but in a sophisticated manner of various interactions between them to carry out every biological processes in living cells. Data about these interactions are exponentially increased thanks to advanced technologies. Analyzing biological interaction networks is essential to get insights into how biological...
This paper investigates the leader-following consensus problem of the switched multi-agent systems with general second-order dynamics. In the switched systems, we consider two subsystems, CT (continuous-time) subsystems and DT (discrete-time) subsystems. A linear distributed control algorithm is proposed for leader-following consensus in the multi-agent systems with switched dynamics. Moreover, based...
The ability to continuously detect the interesting subgraph patterns over dynamic graph-structured data in real time is crucial to many applications. Generally, the edges of such subgraphs have temporal relation. In this paper, the stream model is used to describe the dynamic graph, in which the edges are processed in chronological order. In order to reduce the intermediate results, we propose a topological...
Distributed practical node-to-node state consensus problem is studied in this paper for a class of two-layer multi-agent systems. It is supposed that there are two layers, i.e., the leaders' layer and followers' layer, in the considered multi-agent systems. Unlike most existing results on distributed consensus of multi-agent systems, the control objective in this paper is to make the states of each...
Network virtualization provides a flexible solution to reduce costs, share network resources and improve recovery time upon failure. An important part of virtual network management consists in migrating them in order to optimize resource allocation and react to link failures. However, the migration process might entail the loss of security properties in the virtual network, such as confidentiality...
Virtual Network Embedding (VNE) is widely considered as a longstanding challenge in Network Virtualization: how to efficiently embed multiple virtual networks (VNs), with node-link resource requirements, onto the shared substrate network (SN), having finite underlying resources. Most heuristic VNE algorithms in the literature, only considering single network topology attribute and local network resources,...
Some rheumatoid arthritis patients are not clinical response to Rituximab treatment, so the identification of candidate genes for Rituximab response is very important which might contribute to improve the response chance. This paper identifies the candidate genes in a module view, which is more robust and biologically meaningful compared to the conventional gene differentially expressed analysis....
H∞ consensus is investigated for multi-agent systems with linear dynamics and impulsive effects in this paper. First of all, by considering the effects of distributed impulses, the model of linear multi-agent systems with impulsive effects and external disturbances has been obtained. Then, in view of the average impulsive interval and the Lyapunov stability theory, an algorithm has been given to solve...
We present a Las Vegas algorithm for dynamically maintaining a minimum spanning forest of an n-node graph undergoing edge insertions and deletions. Our algorithm guarantees an O(n^{o(1)})} worst-case} update time with high probability. This significantly improves the two recent Las Vegas algorithms by Wulff-Nilsen \cite{Wulff-Nilsen16a} with update time O(n^{0.5-≥ilon}) for some constant...
In Software Defined Networking (SDN), connections between the controller and the switches are maintained in two ways: out-of-band and in-band. In out-of-band controlling, the control channels are constructed via separate links. However, due to several reasons, sometimes in-band controlling is needed instead of out-of-band controlling. In in-band controlling, the data paths are used for control channels...
In this paper, we develop an access controller management model which provides new opportunities for further reducing the computation repetition and data transmission redundancy for Mobile Edge Computing (MEC) in 5G network. We propose novel algorithms for solving the offloading problem with consideration of tradeoff between energy consumption and the amount of offloaded data under constraint of overall...
With the migration of computational powers and applications to the cloud, Data Center Networks (DCNs) have become the backbone of the underlying infrastructure. Operation of the data centers relies on huge computational resources and bandwidth, that often undergo high operational costs, frequent link congestions, and imbalanced traffic loads. Software Defined Networking (SDN) based traffic load management...
Inferring fine-grained link metrics by using aggregated path measurements, known as network tomography, is essential for various network operations, such as network monitoring, load balancing, and failure diagnosis. Given a set of interesting links and the changing topologies of a dynamic network, we study the problem of calculating the link metrics of these links by end-to-end cycle-free path measurements...
This paper proposes a mixed-integer quadratic programming (MIQP) model for optimal day-ahead distribution networks dispatch considering Wind Generators (WGs) and topology reconfiguration. Firstly, linearized current injection model is introduced for generators by a series of approximations. Then the day-ahead Switching Operations (SOs) of reconfiguration could be calculated in a linear form based...
Virtual Network Embedding (VNE) problem has been widely considered as an important challenge in Network Virtualization (NV): how to embed virtual networks onto the shared substrate network effectively and efficiently. Previous VNE algorithms, only considering single network topology attribute and local resource of each node, may lead to inefficient resource utilization of the substrate network in...
Average-consensus filter problem is investigated for a mixed-order multi-agent system, which consists of first-order and second-order agents, and the proportional-integral consensus filter algorithms are proposed for the agents with different constant inputs. Based on generalized Nyquist stability criterion, sufficient convergence conditions are obtained for the multiagent system under a fixed, symmetric...
Recent rapid scale out of high performance computing systems has rapidly and continuously increased the scale and complexity of the interconnects. As a result, current static and over-provisioned interconnects are becoming cost-ineffective. Against this background, we have been working on the integration of network programmability into the interconnect control, based on the idea that dynamically controlling...
Task mapping is an important problem in parallel and distributed computing. The goal in task mapping is to find an optimal layout of the processes of an application (or a task) onto a given network topology. We target this problem in the context of staging applications. A staging application consists of two or more parallel applications (also referred to as staging tasks) which run concurrently and...
Stream processing applications continuously process large amounts of online streaming data in real-time or near real-time. They have strict latency constraints, but they are also vulnerable to failures. Failure recoveries may slow down the entire processing pipeline and break latency constraints. Upstream backup is one of the most widely applied fault-tolerant schemes for stream processing systems...
This paper presents algorithm for optimal reconfiguration of distribution networks using hybrid heuristic genetic algorithm. Improvements introduced in this approach make it suitable for real-life networks with realistic degree of complexity and network size. The algorithm introduces several improvements related to the generation of initial set of possible solutions as well as crossover and mutation...
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