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Wide Area Network monitoring has become increasingly important to deliver QoS demanded by customers of Skype, Facebook, Twitter etc or to detect/prevent attacks on networks carrying out sensitive tasks e.g. SCADA networks controlling the electrical grid. Unfortunately the task of monitoring paths becomes increasingly prohibitive as the size of the network increases. Fortunately, recent research has...
A complex software system may have hundreds of tuning parameters with both itself and its runtime environments. To perform optimally at runtime, a self-adaptive system often needs to employ a series of controllers to tune different parameters. In most cases, these parameters are not independent but interact with each other, thus demanding effective coordination among different controllers. Due to...
Considering physical sensors with certain sensing capabilities in an Internet-of-Things (IoT) sensory environment, in this paper, we propose an efficient energy management framework to control the duty cycles of these sensors under quality-of-information (QoI) experience in a multi-task-oriented IoT sensory environment. Contrary to past research efforts, our proposal is transparent and compatible...
Network resources are often limited, so how to use them efficiently is an issue that arises in many important scenarios. Many recent proposals rely on a central controller to carefully orchestrate resources across multiple network locations. The central controller gathers network information and relative levels of usage of different resources and calculates optimized task allocation arrangements to...
We consider a high density of sensors randomly placed in a geographical area for event monitoring. The monitoring regions of the sensors may have significant overlap, and a subset of the sensors can be turned off to conserve energy, thereby increasing the lifetime of the monitoring network. Prior work in this area does not consider the event dynamics. In this paper, we show that knowledge about the...
The design and optimization of a communication network is a complex task, because it involves a lot of factors. The two most important factors are the network cost and the communications delay. We have tackled this NP-hard multi-objective optimization problem using two metaheuristics not used before: NSGA-II and SPEA-II, demonstrating that SPEA-II offers better results than NSGA-II. In order to facilitate...
The field of ballistocardiography seems to be enjoying a recent resurgence, most notably through the development of novel technologies and signal processing methods for measurement and analysis. After the method almost vanished in the late 80's and 90's, it is reasonable to wonder what is different this time, and if the technique has now more chances of becoming what its pioneer always wanted — a...
The problem of cooperative intrusion detection in resource constrained wireless networks (e.g., adhoc, sensor) is challenging, primarily because of the limited resources available to participating nodes. Although the problem has received some attention from the research community, little is known about the tradeoffs among different objectives, e.g. network performance, power consumption, delay in...
Network evolution towards self-aware autonomous adaptive networking aims at reducing the burden of configuring and managing networks, which leads to performance degradation. In order to optimize network operations, the introduction of self-awareness, self-management, and self-healing into the network was proposed, leading to a novel paradigm in networking - known as cognitive networking. This paper...
The characteristic of dramatic fluctuation in the resource provisioning for real-time applications calls for an elastic delivery of computing services. Current data center deployment schemes, which feature a strong tie between servers and applications, are increasingly challenged to ensure power efficiency in terms of multiple peak loads provisioning, optimal average resources utilization, variable...
Recent developments in the field of transmission line monitoring system have led to a renewed interest in wireless sensor networks, which is characterized by the strong real time, high reliability, adaptability, load balancing and so on. However, the bottleneck problem of network transmission which is likely to occur around the sink node must be taken into account. This paper proposes a new cross-layer...
Quickest detection schemes are geared toward detecting a change in the state of a data stream or a real-time process. Classical quickest detection schemes invariably assume knowledge of the pre-change and post-change distributions that may not be available in many applications. In this paper, we present a distribution free nonparametric quickest detection procedure based on a novel distance measure,...
Monitoring global states of an application deployed over distributed nodes becomes prevalent in today's datacenters. State monitoring requires not only correct monitoring results but also minimum communication cost for efficiency and scalability. Most existing work adopts an instantaneous state monitoring approach, which triggers state alerts whenever a constraint is violated. Such an approach, however,...
Several attempts have been made to optimize a link layer of wireless local area networks. Most of them focus on one parameter at a time and propose optimizing approaches which rely on network state information usually not directly available at network nodes. In this paper, we propose a cognitive link layer optimization capable of taking large number of parameters into account and perform optimization...
When disaster happens, it is necessary to employ efficient and accurate methods to select the best service from many service backed sites to control DR (Disaster Recovery) activities. Aim at the service deployment algorithm is not suit for MultiObjective DR of policy and target distinct. This paper presents a novel algorithm MOGOSD (MultiObjective Global Optimal Service Deployment) to resolve service...
This paper presents a purely empirical approach to estimating the effective bandwidth of aggregated traffic flows independent of traffic model assumptions. The approach is shown to be robust when used in a variety of traffic scenarios such as both elastic and streaming traffic flows of varying degrees of aggregation. The method then forms the basis of two quality of service related traffic performance...
The Reliable Server Pooling (RSerPool) architecture is the IETF's new standard for a lightweight server redundancy and session failover framework to support availability-critical applications. RSerPool combines the ideas from different research areas into a single, resource-efficient and unified architecture. Server pools are maintained by redundant management components, which are called registrars...
We propose information aggregation as a method for summarizing the resource-related information, used by the task scheduler. Through this method the information of a set of resources can be uniformly represented, reducing at the same time the amount of information transferred in a Grid network. A number of techniques are described for aggregating the information of the resources belonging to a hierarchical...
Body sensor networks are emerging as a promising platform for healthcare monitoring. These systems are composed of battery-operated embedded devices which process physiological data. The reduction in the power consumption is an important factor to increase the lifetime for such systems and to enhance their wearability through reducing the size of the battery. In this paper, we develop an energy-efficient...
This paper compares the results of two different procedures, Doppler Ultrasound and Transthoracic Impedance, to monitor the left ventricular stroke volume on a group of heart failure patients submitted to electrical resynchronization therapy. The two procedures have been applied in parallel on 9 patients by changing the stimulation delays between the septal and posterior ventricular walls and the...
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