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Modern stream processing frameworks, such as Spark Streaming, are designed to support a wide variety of stream processing applications, such as real-time data analytics in social networks. As the volume of data to be processed increases rapidly, there is a pressing need for processing them across multiple geo-distributed datacenters. However, these frameworks are not designed to take limited and varying...
Fair and efficient coflow scheduling improves application-level networking performance in today's datacenters. Ideally, a coflow scheduler should provide isolation guarantees on the minimum coflow progress to achieve predictable networking performance. Network operators, on the other hand, strive to decrease the average coflow completion time (CCT). Unfortunately, optimal isolation guarantees and...
It is typical for enterprises to rely on services from cloud providers in order to build a scalable platform with abundant available resources to satisfy user demand, and for cloud providers to deploy a number of datacenters inter-connected with high-capacity links, across different geographical regions. In this paper, we propose that video conferencing, even with its stringent delay constraints,...
The increasingly popular online hosting systems are designed to provide versatile and convenient platforms for content hosting and sharing. To guarantee adequate levels of service quality while conserving prohibitive server costs, such systems are often designed to integrate peer bandwidth contributions with strategic server resource provisioning in a complementary and transparent manner. This paper...
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