Edge computing: A survey

https://www.cl.cam.ac.uk/~awm22/publications/li2008efficient.pdf

Efficient application identification and the temporal and spatial stability of classification schema

User activity monitoring is a major problem in ambient assisted living, since it requires to infer new knowledge from collected and fused sensor data while dealing with highly dynamic environments, where devices continuously change their availability and (or) physical location. In the context of the European project PERSONA, we have developed an activity monitoring sub-system characterized by high modularity, little invasiveness of the environment and good responsiveness. In this paper we first illustrate the functional architecture of the proposed solution from a general point of view, discussing the motivations of the design. Then we describe in details the software components—sensor abstraction and integration layer, human posture classification, activity monitor—and the resulting activity monitoring application, presenting also a performance evaluation.

Sensor data fusion for activity monitoring in the PERSONA ambient assisted living project

Edge computing is a promising paradigm that enhances the capabilities of cloud computing. In order to continue patronizing the computing services, it is essential to conserve a good atmosphere free from all kinds of security and privacy breaches. The security and privacy issues associated with the edge computing environment have narrowed the overall acceptance of the technology as a reliable paradigm. Many researchers have reviewed security and privacy issues in edge computing, but not all have fully investigated the security and privacy requirements. Security and privacy requirements are the objectives that indicate the capabilities as well as functions a system performs in eliminating certain security and privacy vulnerabilities. The paper aims to substantially review the security and privacy requirements of the edge computing and the various technological methods employed by the techniques used in curbing the threats, with the aim of helping future researchers in identifying research opportunities. This paper investigate the current studies and highlights the following: (1) the classification of security and privacy requirements in edge computing, (2) the state of the art techniques deployed in curbing the security and privacy threats, (3) the trends of technological methods employed by the techniques, (4) the metrics used for evaluating the performance of the techniques, (5) the taxonomy of attacks affecting the edge network, and the corresponding technological trend employed in mitigating the attacks, and, (6) research opportunities for future researchers in the area of edge computing security and privacy.

Systematic Review on Security and Privacy Requirements in Edge Computing: State of the Art and Future Research Opportunities

We present a per-flow packet sampling method that enables the real-time classification of high-speed network traffic. Our method, based upon the partial sampling of each flow (i.e., performing sampling at only early stages in each flow's lifetime), provides a sufficient reduction in total traffic (e.g., a factor of five in packets, a factor of ten in bytes) as to allow practical implementations at one Gigabit/s, and, using limited hardware assistance, ten Gigabit/s.

/pdf/per-flow-packet-sampling-for-high-speed-network-monitoring-41isi591b9.pdf

Per flow packet sampling for high-speed network monitoring

Building situational awareness for network threats in fog/edge computing: Emerging paradigms beyond the security perimeter model

An architecture to manage security operations for digital service chains

The availability of a large number of personal, wireless multimedia devices enables the users to benefit multimedia content while moving. A further enhancement is given by the availability of context information (in terms of users' location, environment, etc.) that enables the adaptation of the multimedia content to the context and to the availability of alternative renderers. In this paper, we propose a context-aware mobility framework that supports context-dependent, multimedia interactive applications. This framework manages mobility of multimedia sessions by introducing the concept of Personal Address, that is a network identifier assigned to users and their sessions. The mobility framework also leverages on the concept of context server to interact with heterogeneous context sources on a wide area network. We describe the implementation of this framework for Voice-over-IP sessions and we report the performance results.

Automatic multimedia session migration by means of a context-aware mobility framework

Streaming of multimedia data is a common application in today's Internet. The trend towards ubiquitous computing raises expectations from the users about enjoying multimedia contents everywhere and with any device. However, current protocols for streaming data (e.g., RTSP) have not been designed for this purpose, thus they fail in providing the user with a transparent and seamless media experience in nomadic life.

In this paper we propose a framework for multimedia delivery and adaptation in mobile environments.We introduce the concept of Personal Address (PA), which is a network address associated to the user instead of a network interface; the proposed framework works at the network layer; it moves the PA among networks and devices to deliver media in a seamless and transparent way.

Streaming Multimedia Contents to Nomadic Users in Ubiquitous Computing Environments

Nowadays the majority of Internet traffic is generated by peer-to-peer (P2P) file sharing applications. As the popularity of these applications has been increasing dramatically over the past few years, it becomes increasingly important to analyze their behavior and to understand their effects on the network. The ability to quantify their impact on the network is fundamental to a number of network operations, including traffic engineering, capacity planning, quality of service, forecasting for long-term provisioning, etc. We present here a measurement study on the characteristics of the traffic associated with two different P2P applications. Our aim is to provide useful insight into the nature of P2P traffic from the point of view of the network. To achieve this, we introduce a novel meauserement, Content Transfer Index (CTI), to distinguish two classes of behavior associated with P2P traffic: the download and the signaling traffic profile. Next we apply the CTI to our data sets and show that it effectively offers a general characterization of P2P traffic. Finally, we present a number of statistical measurements that are significantly unbiased due to having considered the distinction between the two classes. To the best of our knowledge, this is the first study to follow this approach. We believe such a study will help researchers better understand the impact of P2P applications on the network and how to improve their performance.

Riccardo Rapuzzi

Papers

Building situational awareness for network threats in fog/edge computing: Emerging paradigms beyond the security perimeter model

An architecture to manage security operations for digital service chains

Automatic multimedia session migration by means of a context-aware mobility framework

Streaming Multimedia Contents to Nomadic Users in Ubiquitous Computing Environments

Characterizing the network behavior of P2P traffic