Kademlia: A Peer-to-Peer Information System Based on the XOR Metric
IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
Peer-to-peer internet telephony using SIP
NOSSDAV '05 Proceedings of the international workshop on Network and operating systems support for digital audio and video
SOSIMPLE: A Serverless, Standards-based, P2P SIP Communication System
AAA-IDEA '05 Proceedings of the First International Workshop on Advanced Architectures and Algorithms for Internet Delivery and Applications
Communication challenges in emergency response
Communications of the ACM - Emergency response information systems: emerging trends and technologies
Failover, load sharing and server architecture in SIP telephony
Computer Communications
Queue - SIP
A cooperative SIP infrastructure for highly reliable telecommunication services
Proceedings of the 1st international conference on Principles, systems and applications of IP telecommunications
SERvartuka: Dynamic Distribution of State to Improve SIP Server Scalability
ICDCS '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems
Future Generation Computer Systems
Characterizing session initiation protocol (SIP) network performance and reliability
ISAS'05 Proceedings of the Second international conference on Service Availability
Emergency telecommunication support for IP telephony
IPOM'05 Proceedings of the 5th IEEE international conference on Operations and Management in IP-Based Networks
Internet telephony: services, technical challenges, and products
IEEE Communications Magazine
An overview of statistical learning theory
IEEE Transactions on Neural Networks
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The fixed-line and mobile telephony network is one of the crucial elements of an emergency response to a disaster event. However, frequently the phone network is overwhelmed in such situations and is disrupted. It is not cost-effective to maintain an over-provisioned IT infrastructure for such rare events. Cloud computing allows users to create resources on-demand and can enable an IT infrastructure that scales in response to the demands of disaster management. In this paper, we introduce a system that uses the Amazon EC2 service to automatically scale up a software telephony network in response to a large volume of calls and scale down in normal times. We demonstrate the efficacy of this system through experiments based on real-world data.