c# ean 13 reader

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State Machines and Time All programs are state machines Not all people think of their programs this way, but it turns out to be a convenient mental model for concurrent pro grams Even if you don't think about your program as a state machine proper, you probably at least think about your program in terms of time and the sequence of program events on a sequential timeline: the order in which reads from and writes to variables occur, the time distance between two such events, and so on A unique problem with concurrency thus arises We are accustomed to reasoning about the code we write on the screen in sequential order, which is necessarily written in a sequential lay out We form mental models and conclusions about the state transitions possible with these assumptions firmly in mind However, concurrency invalidates many such assumptions

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ability to support playout centers and content management and the ability to repurpose assets The use of storage is the same in these two applications It is essential that the systems can scale to store massive amounts of content while at the same time being able to support as many multiple streams of video as possible While the streams may be only MPEG-1 or MPEG-2, the cost per user is the ultimate measure in this business The more streams that the VOD supplier can deliver from a given solution, the more competitive he or she will be

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be created (for Ma r s h a l By R efOb j e c t s ) After marshaling an object in these two cases, code in either AppDomain can safely lock on the resulting object without interfering: one AppDomain locks on the original object, while the other locks on either a copy of the object or a proxy to it (with its own mon itor) But there's a poorly documented case that can break this isolation: the CLR supports another marshaling mechanism, referred to informally as "marshal-by-bleed " With this marshaling mechanism, references in separate domains can refer to the same CLR object in memory If code in the two AppDomains locks on one such object, they will be locking on precisely the same object, with exactly the same monitor And they will clash with each other A lot of code and CLR infrastructure assumes isolation between App Domains, that is, that code in one AppDomain can't corrupt state that is observable by another, totally independent, AppDomain This is why many add-in frameworks and hosts like SQL Server can be confident that failures from one domain can be reliably dealt with by unloading the domain rather than the entire process As soon as you start using marshal-by-bleed objects as the target of Mo n ito r E nt e r, you're possibly invalidating this entire set of assumptions What kind of objects enjoy marshal-by-bleed semantics Domain neu tral Type objects-as well as other reflection types (eg, Membe r l n fo, and so forth) representing domain neutral assembly artifacts-present a nasty sit uation where the same objects are shared across all AppDomains in the process By default, the only assembly that is loaded domain neutral is m s c o r l i b d l l, although this can be overridden by configuration and pol icy, either at the host or program level This is bad because there needn't be any inter-AppDomain communication for a single reference to be bled: two unrelated pieces of code accessing typeof ( I n t 3 2 ) , for example, will sud denly have a reference to the same object in memory CLR strings are also marshal-by-bleed A s t r i n g argument to a remoted Ma r s h a l By RefOb j e ct method invocation might be bled, for instance, as can be process-wide interned string literals The System T h r e a d i n g T h r e a d object is also bled across domains If one AppDomain orphans the lock (forgets to release it), it could cause deadlocks in other AppDomains Even without deadlocks, there will be.

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