Abstract

The amount of resources necessary for genome processing services in clouds is huge. The introduction of suitable service orchestration procedures in cloud networks is therefore essential. The current achievements on SDN and NFV for cloud management are a valuable starting point for research. In this paper, we consider different classes of genome processing services and, for each of them, formulate an integer linear programming problem. The proposed solutions leverage network replacement caching, which is a key element for improving scalability of service deployment all the optimization strategies. Results show significant reduction of exchanged traffic volume and transfer time.

Keywords:
Orchestration Cloud computing Computer science Scalability Leverage (statistics) Software deployment Distributed computing Integer programming Key (lock) Computer network Service (business) Linear programming Database Operating system Artificial intelligence

Metrics

2
Cited By
0.39
FWCI (Field Weighted Citation Impact)
16
Refs
0.63
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Caching and Content Delivery
Physical Sciences →  Computer Science →  Computer Networks and Communications
Software-Defined Networks and 5G
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications

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