Learn More
We present a software-based solution to the multi-dimensional packet classification problem which can operate at high line speeds, e.g., in excess of 10 Gbps, using high-end multi-core desktop platforms available today. Our solution, called Storm, leverages a common notion that a subset of rules are likely to be popular over short durations of time. By(More)
Ternary Content-Addressable Memories (TCAMs) has become the industrial standard for high-throughput packet classification. However, one major drawback of TCAMs is their high power consumption, which is becoming critical with the boom of data centers, the growing classifiers and the deployment of IPv6. In this paper, we propose a practical and efficient(More)
The quality factor (Q), mode volume (V eff), and room-temperature lasing threshold of microdisk cavities with embedded quantum dots (QDs) are investigated. Finite element method simulations of standing wave modes within the microdisk reveal that V eff can be as small as 2(λ/n) 3 while maintaining radiation-limited Qs in excess of 10 5. Microdisks with a 2(More)
We describe a large-scale and long-term measurement study of a popular mobile Massively Multiplayer Online Role Playing Game (MMORPG), called Parallel Kingdom, which has over 600,000 unique users distributed across more than 100 countries. Our study covers important aspects of the game including (i) characteristics of its population, (ii) players' game(More)
We present a long term and large scale study of the experience of mobile users through two popular but contrasting applications in the wild. To conduct this study, we implemented a measurement framework and library, called Insight, which has been deployed on these two applications that are available through Apple's App Store and Google's Android Market. One(More)
—Geographically distributed storage is an important method of ensuring high data availability in cloud computing and storage systems. With the increasing demand for moving file systems to the cloud, current methods of providing such enterprise-grade resiliency are very inefficient. For example, replication based methods incur large storage cost though they(More)
—Mobile users often connect through WiFi access points and frequently find themselves behind NATs that are built into common off-the-shelf home access points or enterprise wireless deployments. Punching a hole through the NATs to establish a P2P connection can be a challenging task for lay users. We present our system, ANT, that utilizes Audio signaling for(More)
Introducing SDN into an existing network causes both deployment and operational issues. A systematic incremental deployment methodology as well as a hybrid operation model is needed. We present such a system for incremental deployment of hybrid SDN networks consisting of both legacy forwarding devices (i.e., traditional IP routers) and programmable SDN(More)
Resource conflicts are inevitable on any shared infrastructure. In Software-Defined Networks (SDNs), different controller modules with diverse objectives may be installed on the SDN controller. Each module independently generates resource requests that may conflict with the objectives of a different module. For example, a controller module for maintaining(More)
Software Defined Networking (SDN) and cloud automation enable a large number of diverse parties (network operators, application admins, tenants/end-users) and control programs (SDN Apps, network services) to generate network policies independently and dynamically. Yet existing policy abstractions and frameworks do not support natural expression and(More)