In this paper, we propose a comprehensive scalable algorithm simultaneously assessing the routing, scheduling and virtualization in Time-Domain Wavelength Interleaved Network (TWIN).
In this paper we summarize our recent research regarding a novel characterization of large-scale real-life informational networks which can be leveraged to speed computations for network analytics
In this paper, we propose a set of novel Distributed Collaborative Streaming (DCS) algorithms that allow scalable and efficient monitoring of aggregated traffic without the need for raw aggregation
This paper presents the test instruction set architecture (TISA), an invention that can enable scalable interactive testing to leverage the experience of embedded computing.
We consider the problem of virtualization of telecommunication (telco) services, which are session-oriented by nature and currently run on dedicated hardware.
We consider the problem of virtualization of telecommunication (telecom) services, which are session-oriented by nature and currently run on dedicated hardware.
A legacy WiFi shows poor scalability and waste of energy due to a high contention level in case of a large number of STAs.
In this paper, we propose a new approach for fault diagnosis in operator networks. The approach consists in an inter cluster inference while preserving the end-to-end dependency condition.
Comparison of mammalian brain parts has often focused on differences in absolute size, revealing only a general tendency for all parts to grow together.
Comparison of mammalian brain parts has often focused on differences in absolute size, revealing only a general tendency for all parts to grow together.
