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.
Orchestration of Cloud Genomic Services
Reali G.
Writing – Original Draft Preparation
;Femminella M.Methodology
;Felicetti L.Methodology
;Pergolesi M.Methodology
2019
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
