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.
The usage of the service selection approaches across different dynamic service provisioning environments has increased the challenges associated with an effective method that can be used to select a relevant service. The use of service selection approach should depend on certain factors. In order to address this challenge, the literature analysis is conducted on various service selection approaches...
A new era of automated services has permeated user's daily lives thanks to paradigms such as Smart City and the Internet of Things. This shift from traditional applications is possible due to the massive amount of heterogeneous devices that constitute the Internet of Things. To provide newly improved characteristics to these services, such as mobility support, high resilience, and low latency, an...
In this paper, we elaborate an SDN orchestration solution aiming at the dynamic adaptation of service chain paths thereby addressing high-availability requirements of 5G applications. We present an SDN orchestrator that periodically monitors the availability of the network and, if necessary, promptly adapts service chain paths to recover from congestion events and to preserve network QoS performance...
Deploying composite applications to Fog nodes in a QoS- and context-aware manner is challenging due to the heterogeneity, scale and dynamicity of Fog infrastructures.
This report contains a brief overview of the main concerns addressed by the authors of the Cloud-Based Collaborative Technologies in IoT Age track, held at WETICE 2017 conference. A presentation of the main topics is given and a summary of the papers accepted for this conference track is reported.
The recent deployment of novel network concepts, such as M2M communication or IoT, has undoubtedly stimulated the placement of a new set of services, leveraging both centralized resources in Cloud Data Centers and distributed resources shared by devices at the edge of the network. Moreover, Fog Computing has been recently proposed having as one of its main assets the reduction of service response...
Internet of Things (IoT) and Cloud computing paradigm is a new research area. On the other hand, it has been identified as one of the emerging technologies in the field of computer science and Information Technology. The complementarity of these two technologies plays a major role in accessing any services and applications anywhere, anytime in the many smart environments. It is obvious that the integration...
Internet of Things (IoT) systems produce great amount of data, but usually have insufficient resources to process them in the edge. Several time-critical IoT scenarios have emerged and created a challenge of supporting low latency applications. At the same time cloud computing became a success in delivering computing as a service at affordable price with great scalability and high reliability. We...
The evolution of the Internet of Things (IoT) is bringing Cloud services closer to the networks' edge. Thus, fog networking presents itself as an approach aiming to utilize more and more resources in network edge devices to provide various networking tasks. This work presents an optimization formulation that minimizes the cost of executing a set of services, taking into account the availability of...
Sensor-cloud was introduced to create a cloud environment where a geographically distributed pool of sensors (physical or logical) and cloud resources can be shared between numerous applications. In addition, sensor-cloud hides the complexity and heterogeneity of underlying physical/logical sensors from applications. Based on the applications' requirements, the sensor-cloud creates virtual sensors...
Fog computing provides a decentralized approach to data processing and resource provisioning in the Internet of Things (IoT). Particular challenges of adopting fog-based computational resources are the adherence to geographical distribution of IoT data sources, the delay sensitivity of IoT services, and the potentially very large amounts of data emitted and consumed by IoT devices. Despite existing...
While reducing costs and improving sustainability, a common goal for Smart Cities is to become more “liveable” for their citizens. By taking advantage of new information sources offered by the Internet of Things (IoT), cities can rely on sensing platforms to improve their service offer. These sensing platforms, however, raise new research challenges, in particular regarding Quality of Information...
This paper presents a location-based interactive model for Internet of Things (IoT) and cloud integration (IoT-cloud). In the model, IoT-cloud provides sensing service on demand based on interest and location of mobile users. Cloud plays a role as a virtual sink which makes schedule for physical sensor networks on-demand based on locations of mobile users. Through extensive analysis results, we show...
Fog computing brings cloud close to end-users and data sources by enabling computation and storage at the edges of the network. An application can have some of its components running in a “distant” cloud and interacting with the other components running in the fog, closer to end-users and data sources such as wireless sensors. Low latency is the main benefit. Applications spanning cloud and fog, such...
The evolutionary trends of the Information Society have lead to the definition of the so-called Smart City, an environment characterized by the interaction of several heterogeneous technologies aiming at providing unprecedented services and efficiency. The Smart City is one of the most challenging scenarios for the Internet of Things (IoT) applicability. Among several things composing a Smart City,...
Internet of Things (IoT) is now transitioning from theory to practice. This means that a lot of data will be generated and the management of this data is going to be a big challenge. To transform IoT into reality and build upon realistic and more useful services, better resource management is required at the perception layer. In this regard, Fog computing plays a very vital role. With the advent of...
This work focuses on an automated selection of Cloud Service Provider (CSP) for a naive end-user in an IoT scenario. In traditional cloud computing model, the end-users are knowledgeable about the Virtual Machines (VMs) and are technically aware of their requirements in terms of the computing cores, processing abilities, and storage requirements. In case of IoT, the users are envisioned to be widespread...
A vast majority of modern applications and systems have taken advantage of cloud computing, however, a general lack of performance and reliability assurances from the cloud have deterred applications from the realm of cyber physical systems (CPS) and Internet of Things (IoT) that have stringent Quality of Service (QoS) requirements avail the cloud capabilities. To address these limitations, we propose...
Cloud of Things (CoT) is a vision inspired by Internet of Things (IoT) and cloud computing where the IoT devices are connected to the clouds via the Internet for data storage, processing, analytics and visualization. CoT ecosystem will encompass heterogeneous clouds, networks and devices to provide seamless service delivery, for example, in smart cites. To enable efficient service delivery, there...
5G networks will be a key enabler for the Internet of Things by providing a platform to connect a massive number of devices with heterogeneous sets of network quality requirements. In this environment, 5G network operators will have to solve the complex challenge of managing network services for diverse customer sectors (such as automotive, health or energy) with different requirements throughout...
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.