Disaster-aware datacenter placement and dynamic content management in cloud networks
Autor: | Massimo Tornatore, Biswanath Mukherjee, Sifat Ferdousi, M. Farhan Habib, Ferhat Dikbiyik |
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Přispěvatelé: | Ferdousi, S, Dikbiyik, F, Habib, MF, Tornatore, M, Mukherjee, B, Sakarya Üniversitesi/Bilgisayar Ve Bilişim Bilimleri Fakültesi/Bilgisayar Mühendisliği Bölümü, Dikbıyık, Ferhat |
Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Engineering
Replication cost business.industry Computer Networks and Communications Cloud network Datacenter placement Disaster risk Dynamic content management Cloud computing Data loss Service provider Network topology Networking hardware Network planning and design Telecommunications business Expected loss Computer network Content management |
Popis: | Recent targeted attacks and natural disasters have made disaster-resilient cloud network design an important issue. Network operators are investigating proactive and reactive measures to prevent huge data loss and service disruptions in case of a disaster. We present novel techniques for disaster-aware datacenter placement and content management in cloud networks that can mitigate such loss by avoiding placement in given disaster-vulnerable locations. We first solve a static disaster-aware datacenter and content placement problem by adopting an integer linear program with the objective to minimize risk, defined as expected loss of content. It is a measure of how much, in terms of cost or penalty, a network operator may lose probabilistically due to possible disasters in a cloud network. We also show how a service provider's budget constraint can affect disaster-aware placement design. Since disaster scenarios, content popularity, and/or importance are always changing in time, content placement should rapidly adapt to these changes. We propose a disaster-aware dynamic content-management algorithm that can adjust the existing placement based on dynamic settings. Besides reducing the overall risk and making the network disaster-aware, reducing network resource usage and satisfying quality-of-service requirements can also be achieved in this approach. We also provide a cost analysis of employing a dynamic disaster-aware placement design in the network based on real-world cloud pricing. |
Databáze: | OpenAIRE |
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