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Modern embedded systems generate a large volume of data that require a highly scalable and available framework that enables computing, storage, and data analysis. Many cloud providers offer unlimited storage as well as a flexible processing infrastructure, allowing for executing a large number of tasks with high performance. This paper presents a framework for extending the local resources of embedded...
Network Function Virtualization (NFV) is utilized to simplfy the deployment and management of constantly evolving and highly complex networking services. In this paper, we propose a dynamic load management framework for IMS networks using NFV, where IMS functions are created within a single virtual machine (VM) instance and moved to the cloud environment. Requests coming from the IMS clients are first...
This paper outlines a scalable architecture that supports datacenter-wide resource management for elastic Internet applications in a mega data center. Our architecture includes a scalable load-balancing fabric and provides effective knobs to balance load among the applications, servers, access links, as well as the load-balancing components themselves -- the low-level resource managers and switches...
Real-time online interactive application (ROIA) is an emerging large scale distributed application in recent years. To satisfy the high demands on performance, ROIA needs a highly robust and efficient architecture to cope with the huge concurrent users. Previous works are almost based on the C/S and P2P mode, and these architectures cannot be simply copied to cloud computing environment. In this paper,...
Massively Multiuser Virtual Environments (MMVEs) are attracting millions of players from all over the world. Currently used Client/Server infrastructures and technologies are reaching their limits of flexibility and scalability. We propose an approach that combines the technological advantages of two different paradigms, namely P2P networking and Cloud Computing. Our proposal leverages known P2P techniques...
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