• Publications
  • Influence
Network Function Virtualization: State-of-the-Art and Research Challenges
Network function virtualization (NFV) has drawn significant attention from both industry and academia as an important shift in telecommunication service provisioning. By decoupling network functionsExpand
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VIME: Variational Information Maximizing Exploration
Scalable and effective exploration remains a key challenge in reinforcement learning (RL). While there are methods with optimality guarantees in the setting of discrete state and action spaces, theseExpand
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#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Count-based exploration algorithms are known to perform near-optimally when used in conjunction with tabular reinforcement learning (RL) methods for solving small discrete Markov decision processesExpand
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Design and evaluation of algorithms for mapping and scheduling of virtual network functions
Network function virtualization has received attention from both academia and industry as an important shift in the deployment of telecommunication networks and services. It is being proposed as aExpand
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VNF-P: A model for efficient placement of virtualized network functions
  • H. Moens, F. Turck
  • Computer Science
  • 10th International Conference on Network and…
  • 1 November 2014
Network Functions Virtualization (NFV) is an upcoming paradigm where network functionality is virtualized and split up into multiple building blocks that can be chained together to provide theExpand
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AIOLOS: Middleware for improving mobile application performance through cyber foraging
As the popularity of smartphones and tablets increases, the mobile platform is becoming a very important target for application developers. Despite recent advances in mobile hardware, most mobileExpand
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Optical Networks for Grid and Cloud Computing Applications
The evolution toward grid and cloud computing as observed for over a decennium illustrates the crucial role played by (optical) networks in supporting today's applications. In this paper, we startExpand
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Design and Evaluation of a Self-Learning HTTP Adaptive Video Streaming Client
HTTP Adaptive Streaming (HAS) is becoming the de facto standard for Over-The-Top (OTT)-based video streaming services such as YouTube and Netflix. By splitting a video into multiple segments of aExpand
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Adaptive Task Checkpointing and Replication: Toward Efficient Fault-Tolerant Grids
A grid is a distributed computational and storage environment often composed of heterogeneous autonomously managed subsystems. As a result, varying resource availability becomes commonplace, oftenExpand
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HTTP/2-Based Adaptive Streaming of HEVC Video Over 4G/LTE Networks
In HTTP Adaptive Streaming, video content is temporally divided into multiple segments, each encoded at several quality levels. The client can adapt the requested video quality to network changes,Expand
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