The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Small-cells are rapidly emerging as the mobile operators' choice to provide additional capacity in current and future mobile networks. However, in order to fully deliver on their promises, small-cells need to address severe interference control and coordination challenges. By centralizing base-band processing in large high-volume computing infrastructures, Cloud-RAN can effectively enable advanced...
The Cloud has allowed an evolution in the design, deployment and management of services. Applying a Cloud model at the network level involves incorporating into the life cycle of network services the new processes that take into account the virtualization. To take advantage of advances such as SDN (Software-Defined Networking) and NFV (Network Functions Virtualization), we must not only take into...
Failure in the physical network can cause a temporal or permanent unavailability of some resources, which can lead to a quality of service (QoS) degradation and loss of revenue. While much work has been dedicated to the survival of delay-constrained applications, little attention has been paid to enhancing the performance of the post-failure recovery scheme by maintaining the performance for the affected...
Achieving energy-efficient “Green” operations within data centers used for applications such as Cloud Computing requires matching the power consumed to the data processed at each server in real-time. Beyond having a high efficiency in the server power supplies, it is vitally important to only draw power when the server is actually processing data. To operate at maximum energy efficiency, in the times...
Datacenter networks are commonly structured with hierarchical topologies in which multipaths are provided to create redundant paths between end-to-end servers. Without a dedicated flow control mechanism, different sizes of traffic flows are statically allocated to links without sensing the current link utilization, which can result in transient network congestion that impacts on the latency experienced...
Though SDN (Software Defined Network) provides the executive building blocks for programming data-plane appliances, controller decisions must be grounded in an accurate outlook on the network topology and performance. In this context, we focus on the possibility of providing accurate measurements for the end-to-end (E2E) delay in SDN networks. In practice, like many variable quantities, a good description...
This work investigates factors that can impact the elasticity of bare-metal resources. We analyse data from a real bare-metal deployment system to build a deployment time model, which is used to evaluate how provisioning time impacts the reservation of bare-metal resources. Climate/Blazar, a reservation framework designed for OpenStack, is discussed. Simulation results show that reservations can help...
Performing system diagnosis is a critical task in modern datacenters. Investigating individual resource behavior may not be efficient in detecting abnormal behavior in large and complex datacenters. In this paper, we propose a scalable graph based diagnosis framework to detect system anomalies in Software-Defined Infrastructure running in SAVI testbed. We have leveraged Graph Mining and Machine Learning...
Infrastructure as a Service (IaaS) clouds provide users with the ability to easily and quickly provision servers. A recent study found that one in three data center servers continues to consume resources without producing any useful work. A number of techniques have been proposed to identify such unproductive instances. However, those approaches adopt the strategy to identify idle cloud instances...
The Domain Name System Security Extensions (DNSSEC) are steadily being deployed across the Internet. DNSSEC extends the DNS protocol with two vital security properties, authenticity and integrity, using digital signatures. While DNSSEC is meant to solve security issues in the DNS, it also introduces a new one: the digital signatures significantly increase DNS packet sizes, making DNSSEC an attractive...
In this paper, we present a security analytics framework that augments host compliance reports with network configuration to assess the risk globally and devise cost-effective mitigation plans. We define metrics to measure the global enterprise risk based on network assets' vulnerabilities, their inter-dependencies, and network configurations. Our framework takes the decision burden away from administrators...
Diagnosis functionality as a key component for automated Network Management (NM) systems allows rapid, machine-level interpretation of acquired data. In existing work, network diagnosis has focused on building “point solutions” using configuration and performance management, alarm, and topology information from one network. While the use of automated anomaly detection and diagnosis techniques within...
Web pages and web-based services are becoming more and more complex. The average page size for the Alexa top 1000 websites in 2016 has reached 2.1 MB and fetching a page requires requests for 128 different objects. Although the bandwidth has been increasing exponentially in the last few years, the web experience is not improving at the same pace because of latency issues in HTTP/1. The HTTP/2 protocol...
Since network attacks become more sophisticated, it is difficult to discover them using traditional analysis tools. For some kinds of attacks, it is necessary to analyze Application Layer (L7) information in order to detect them. However, there is a lack of existing tools capable of L7 processing and manipulation. Therefore, we propose a flow-based modular Network Measurements Analysis (NEMEA) system...
Smartphone manufacturers often release software upgrades to their users for improving service performance, patching security vulnerabilities, enhancing device stability, fixing bugs, increasing battery life, or even enriching the graphical user interface. It is crucial to monitor the smartphones after software upgrades to either confirm their expected impacts, or quickly identify any undesirable behaviors...
To preserve consistent throughput, smartphones are equipped with a network switch feature (handover in heterogeneous networks). Frequent switching is often blamed to be a QoE downgrader in populated areas. In this paper, we measured auto switch occurrences between Wi-Fi and mobile data networks. We deployed an Android monitoring application for 89 participants and collected network status information...
The Virtual Network Embedding (VNE) problem has atracted a lot of attention in the last decade. Moreover, recent analysis demonstrates that the performance of VNE solutions decreases drastically with large scale substrate networks. This paper proposes a VN migration approach intended to enhance the performance of online VNE in terms of VN acceptance ratio, whose enhancements are more accentuated in...
The Cresco distributed agent-based framework is designed to address the challenges of edge computing. We present an actor-model implementation for the management of large numbers of geographically distributed services, comprised from heterogeneous resources and communication protocols, in support of low-latency realtime streaming applications. We present the purpose of our work, the basic methodology,...
Predicting Web service response time percentiles is often an important aspect of service level management exercises. Existing techniques can be very time consuming since they involve the manual construction of complex analytic or simulation models. To address this problem, we propose Prospective, a fully automated and data-driven approach for predicting Web service response time percentiles. Prospective...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.