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OST OF THIS BOOK has been dedicated to specific mechanisms and M best practices used when building concurrent programs Algorithms

that use these mechanisms are important to understand too but, until this point, we've only touched on this topic in passing That's what this chapter is about We'll look at many algorithms that are common to concurrent pro grams and will see various ways that sequential algorithms can be decom posed into subproblems suitable for parallel execution Whenever writing an algorithm to use concurrency, the first and most important design choice that needs to be made is how to partition the orig inal problem into individual sub-parts There are three broad approaches that we will look at in this chapter: data, task, and message based paral lelism These classifications can help to frame your thoughts

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uilding an encoder can be very challenging if you are not familiar with the industry I have been building encoding systems since 1997 and have yet to find an easy way to keep up with the ever-changing technology In general, however, the steps for building an encoder will include identifying the components, assembling them, connecting your encoder to your local area network (LAN), and installing and initializing the software, including server updates All these topics, and a listing of recommendations for the purchase of bundled encoding systems, are the subject of this chapter

to partition into smaller pieces, either because there is a large amount of data to process, the processing operation is costly, or a combination of both Data is divvied up among the available hard ware processors in order to achieve parallelism This partitioning step is often followed by replicating and executing some mostly independent program operation across these partitions Typically it's the same operation that is applied concurrently to the elements in

the dataset Optionally, a final aggregation step i s used to combine the multiple independent results into a single result All of this synchronization and coordination is packaged into simple con structs, such as parallel fo r loops and declarative statements This often takes the form of the now popular map/ reduce paradigm (see Further Reading, Dean, Ghemawat)

In this section we shall discuss some of the technology considerations that affect the community network Since individual technologies are dealt with in earlier chapters, we will consider technologies from a very broad perspective There are two broad technology solutions that bifurcate the community network technology space: the LAN technologies and legacy technologies [1] LAN technologies evolved more recently and were proposed as next generation data-centric solutions The primary motivation of LAN technologies was the emergence of data communication and IP traf c as the dominant communication methodology, thanks to the World Wide Web IP traf c and data communication has a unique distribution type being highly bursty in nature The burstiness signi es that predicting the amount of data that will arrive is somewhat dif cult As compared to voice communication, which is modeled as a Poisson distribution, data communication is inherently modeled by a more proli c distribution called the Pareto distribution The distribution results in what is known as long-range variance of the data that ows through, meaning that the arrival of packets is related over long intervals of time The burstiness is then explained by a phenomenon called heavy tailing of the ow LAN technologies are primarily Ethernet dominated, as Ethernet is a method to statistically multiplex and frame any data ow whose distribution may be uncertain Ethernet traf c was rst shown in the late 1970s and today it is estimated that 90 % of the world s LANs run native Ethernet technology The migration of Ethernet from the LAN to the core of networks, typically the metro area where the community space operates, was natural and only a question of time The emergence of standards that facilitated high-speed Ethernet technologies, such as Gigabit Ethernet and eventually 10 Gigabit Ethernet, led to this migratory path of enhancing Ethernet communication from the LAN area to the metro In addition to the standardization process, there was also a push from component vendors to create a portfolio of technologies that facilitated the movement of LAN technologies into the metro, and hence community, area This push included innovations such as Gigabit interface converters, or GBICs GBICs allow.

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