Resource Allocation

DyCroNO: Dynamic Cross-layer Network Orchestration and Real-time Deep Learning-based Network Load Prediction
In this paper, we present Dynamic Cross-layer Network Orchestration (DyCroNO), a dynamic service provisioning and load balancing …
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Dynamic network simulation using DeepRMSA in Elastic Optical Networks
In optical networks, simulation is a cost-efficient and powerful way for network planning and design. It helps researchers and network …
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Resource Allocation and QoS Guarantees for Real World IP Traffic in Integrated XG-PON and IEEE802.11e EDCA Networks
Globally, there is a significant rise in the number of connected devices. Every device has an access to wide variety of telecom …
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APRIL: An Application-Aware, Predictive and Intelligent Load Balancing Solution for Data-Intensive Science
In this paper, we propose an application-aware intelligent load balancing system for high-throughput, distributed computing, and …
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Large Data Transfer Predictability and Forecasting using Application-Aware SDN
Network management for applications that rely on large-scale data transfers is challenging due to the volatility and the dynamic nature …
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The Case for Using Content-Centric Networking for Distributing High-Energy Physics Software
Named Data Networking (NDN) is one of the promising future internet architectures, which focuses on the data rather than its location …
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Budget-Optimized Network-Aware Joint Resource Allocation in Grids/Clouds Over Optical Networks
Resource allocation is an important component of many Cloud computing and datacenter management problems. For infrastructure as a …
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A Tabu search based heuristic for optimized joint resource allocation and task scheduling in Grid/Clouds
Nowadays the development of Grid/Cloud networks has accelerated to meet the increasing requirements for large-scale computing, storage …
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Budget-Minimized Resource Allocation and Task Scheduling in Distributed Grid/Clouds
The need for large-scale computing, storage and network capabilities by the scientific or business community has resulted in the …
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Joint Computing and Network Resource Scheduling in a Lambda Grid Network
Data-intensive grid applications require huge data transfers between grid computing nodes. These computing nodes, where computing jobs …
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