Tag Archive: 'ns3 network simulator'
Cloud computing and virtualization are two key technology priorities for telecom service providers. Besides total cost reduction, there are many strategic objectives while adopting cloud technology into the telecom sector. Telecom service providers core assets and strength lies in their communicationnetworks, but these alone are not enough to maintain the industry in the higher level […]
Software Defined Networking (SDN) and Named Data Networking (NDN) are two topics which have received lots of attention in the networking research community in recent years. While both have emerged independently from each other we believe that their core features can be well aligned to each other. Hence combining both may hold potential benefits for network operators. In this paper we investigate the advantage […]
The performance of wide area network (WAN) has a direct impact on user experience of cloud usage. In order to provide on-demand and performance-assured WAN connections, we design and implement a SDN-based system called Grace, which abstracts the underlying network resources into life-cyclenetwork services to provide the predefined network performance via open APIs.With the advantages of this system, we demonstrate that WAN […]
We experimental validated a Hierarchical Controlled Software Defined Networks Architecture for IP over Optical Transport Network. OpenDayLight is chosen as the basic SDN controller for our extensions. Our implementation includes interaction between controllers and three function module extensions inside OpenDayLight to control the optical network. An successful experimental of end to end dynamic connection establishment is […]
As power consumption of the Internet has been growing quickly in recent years, saving energy has become an important problem of networking research, for which the most promising solution is to find the minimum-power network subsets and shut down other unnecessary network devices and links to satisfy changing traffic loads. However, in traditional networks, it is difficult to implement a coordinated strategy […]
We consider a multihypothesis social learning problem in which an agent has access to a set of private observations and chooses an opinion from a set of experts to incorporate into its final decision. To model individual biases, we allow the agent and experts to have general loss functions and possibly different decision spaces. We characterize the […]
Vital signs obtained from people playing various types of sports can be exploited not only for diagnosing their physical conditions but also for learning the best practice to be followed to enhance their sporting abilities and skills. In this paper, focusing on a framework to collect vital data from a human group consisting of a […]
The introduction of ubiquitous systems, wearable computing and ‘Internet of Things’ technologies in our digital society results in a large-scale data generation. Environmental, home, and mobile sensors are only a few examples of the significant capabilities to collect massive data in real-time from a plethora of heterogeneous social environments. These capabilities provide us with a unique opportunity to understand […]
This paper lays the ground work for assistive navigation using wearable sensors and social sensors to foster situational awareness for the blind. Our system acquires social media messages to gauge the relevant aspects of an event and to create alerts. We propose social semantics that captures the parameters required for querying and reasoning an event-of-interest, such as what, where, who, when, severity, and action […]
This work focuses on mitigation of the network congestion in a Machine to Machine (M2M) cloud. Since the inception of M2M cloud communication technology, the number of M2M devices has radically increased. This has consequently increased the overall traffic of the network which, in turn, makes the entire network congestion prone. The work assumes an underlying clustered network topology of the M2M devices. […]
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