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.
In the context of the Open Network Automation Platform (ONAP), we develop in this paper a resource allocation strategy for deploying Virtualized Network Functions (VNFs) on distributed data centers. For this purpose, we rely on a three-level data center hierarchy exploiting co-location facilities available within Main and Core Central Offices. We precisely propose an active VNFs' placement strategy,...
Utility computing models such as cloud computing provide a variety of computing services using several pricing options. Flexibility of requirements and availability of pricing options, enable a consumer to make trade-offs between cost and time. These trade-offs are governed by consumers' behavior with respect to how they discount price vis-à-vis time of delivery. In this paper, we study this trade-off...
We consider the problem of proactive (i.e. predictive) content caching that is aware of the costs of retention of the content in the cache. Prior work on caching (whether proactive or reactive) does not explicitly take into account the storage cost due to the duration of time for which a content is cached. This new problem, which we call retention aware caching, is motivated by two recent technological...
We consider a cloud service based on spot instances and explore bidding and pricing strategies aimed at optimizing users' utility and provider's revenue, respectively. Our focus is on jobs that are heterogeneous in both valuation and sensitivity to execution delay. Of particular interest is the impact of correlation in these two dimensions. We characterize optimal bidding and pricing strategies under...
We analyze the conditions in which offloading computation reduces completion time. We extend the existing literature by deriving an inequality that relates computation offloading system parameters to the bits per instruction ratio of a computational job. This ratio is the inverse of the arithmetic intensity. We then discuss how this inequality can be used to determine the computations that can benefit...
This proposal for demonstration focuses on the realization of the mobile edge cloud for low latency 5G applications by means of a game to engage the audience. Through the use of intelligent application level migration techniques, we demonstrate an agile migration of a tron-like game between multiple potential edge cloud servers, while the game is running, with uninterrupted user interaction. The following...
Nowadays, the demands for composite services with devices such as sensors/actuators and Web services have increased [1]. Many kinds of cloud services that can connect to real world, as typified by image recognition or speech recognition has come into widespread use to address the limitation in information processing on devices. In that situation, sensors are also provided as sensor services that senses...
There are several research projects ongoing to apply cloud computing to industrial systems. The main focus of them is real-time performance of virtual machines (VMs) since it is important to guarantee a time-critical feature of industrial systems. However, there is another important issue that how much computing resource (CPU, memory, etc.) should be allocated to each VM which runs processes of an...
In the era of the Internet-of-Vehicles (IoV), all components in an Intelligent Transportation System (ITS) can be connected to improve the traffic safety and transportation efficiency. In order to maximize the utilization of the resources, e.g., computation, communication and storage resources, the cloud computing technique could be integrated into vehicular networks. Meanwhile, a cloud-assisted vehicular...
Recently, involving wireless communication technologies in deployment of new vehicular networks becomes more attracting to the research community and vehicle manufacturers. It is beneficial in providing intelligent transportation system as well as new assistant services to drivers. However, the limitation of resources in mobile vehicles is a significant technical challenge in the deployment of new...
In a cloud computing environment, it is necessary to simultaneously allocate both processing ability and network bandwidth needed to access it. The authors proposed the joint multiple resource allocation method in a cloud computing environment that consists of multiple data centers and each data center provides the different network delay. It is also highly likely that each data center would provide...
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.