The Lync Call Quality Methodology (CQM) is a practical approach that applies the broad guidance we have published in the Lync Networking Guide. CQM is a data driven framework backed by SQL queries and an operational process to systematically improve and maintain call quality. CQM was derived from Microsoft and some of our largest customer deployments. CQM was published in v2 of the Networking Guide complete with queries and an updated set of 2010/2013 KHIs. This session will go through the individual components of CQM, describe our recommended process for implementing it, show findings from using CQM and go into detail on how the SQL queries work and how you can customize them for you or your customer's needs.
Jednym z głównych założeń podczas tworzenia Windows 10 była uniwersalność systemu i uruchamianych w nim aplikacji. Jedną z najważniejszych nowości tego systemu są uniwersalne aplikacje, czyli programy, które napisane raz mogą być z powodzeniem wykorzystywane na komputerach, smartfonach, tabletach, Xboksie, a nawet na HoloLens. Podczas tej sesji dowiesz się więcej o tych rodzajach aplikacji oraz o sposobach ich tworzenia.
Every business considering Lync looks at the business case to purchase and deploy differently based on its particular vertical industry, internal environment, and communication strategy and goals. Join us to see how to develop a business case for Lync and get insight into real world examples of how customers in multiple industries have developed successful business cases to deploy Lync, including examples of areas for cost savings for different types or organizations._x000D_
A primary use case for C++ is low latency, low overhead, high performance code. But C++ does not give you these things for free, it gives you the tools to control these things and achieve them where needed. How do you realize this potential of the language? How do you tune your C++ code and achieve the necessary performance metrics?
This talk will walk through the process of tuning C++ code from benchmarking to performance analysis. It will focus on small scale performance problems ranging from loop kernels to data structures and algorithms. It will show you how to write benchmarks that effectively measure different aspects of performance even in the face of advanced compiler optimizations and bedeviling modern CPUs. It will also show how to analyze the performance of your benchmark, understand its behavior as well as the CPUs behavior, and use a wide array of tools available to isolate and pinpoint performance problems. The tools and some processor details will be Linux and x86 specific, but the techniques and concepts should be broadly applicable. -- Chandler Carruth leads the Clang team at Google, building better diagnostics, tools, and more. Previously, he worked on several pieces of Google's distributed build system. He makes guest appearances helping to maintain a few core C++ libraries across Google's codebase, and is active in the LLVM and Clang open source communities. He received his M.S. and B.S. in Computer Science from Wake Forest University, but disavows all knowledge of the contents of his Master's thesis. He is regularly found drinking Cherry Coke Zero in the daytime and pontificating over a single malt scotch in the evening.