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6445 TCP_NODELAY Socket Option This socket option is a flag, the state of which controls whether Nagle's algorithm (RFC 896) is enabled or not Because TCP data is sent over the network using IP datagrams, a fair bit of overhead exists for each packet, such as IP and TCP header information If only a few bytes at a time are sent in each packet, the size of the header information will far exceed that of the data On a local area network, the extra amount of data sent probably won't amount to much, but on the Internet, where hundreds, thousands, or even millions of clients may be sending such packets through individual routers, this adds up to a significant amount of bandwidth consumption The solution is Nagle's algorithm, which states that TCP may send only one datagram at a time When an acknowledgment comes back for each IP datagram, a new packet is sent containing any data that has been queued up This limits the amount of bandwidth being consumed by packet header information, but at a not insignificant cost network latency Since data is being queued, it isn't dispatched immediately, so systems that require quick response times such as X-Windows or telnet are slowed Disabling Nagle's algorithm may improve performance, but if used by too many clients, network performance is reduced Nagle's algorithm is enabled or disabled by invoking the SocketsetTcpNoDelay (boolean state) method For example, to deactivate the algorithm, the following code would be used:

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A big part of the value of an eventually consistent system like SimpleDB lies in the ability to maintain availability during an outage It also lies in being able to reason about the qualities that you want your application to have, and in the ability to choose a database that supports those qualities

// Disable Nagle's algorithm for faster response times someSocketsetTcpNoDelay(false);

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Environmental affinity Is the program well aligned with the programming environment and hardware of choice If the hardware, for example, lacks support for shared memory, an algorithm structure based on shared memory would be a poor choice This issue also comes up when considering programming environments When creating a programming environment, the creators usually have a particular style of programming in mind For example, OpenMP is designed specifically for programs consisting of a series of loops, the iterations of which will be split between multiple threads (loop based parallelism) It is much easier to write software when the program structure employed is well aligned with the programming environment

To determine the state of Nagle's algorithm and the TCP_NODELAY flag, the SocketgetTcpNoDelay() method is used:

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Sequential equivalence Where appropriate, does a program produce equivalent results when run with many UEs as with one If not equivalent, is the relationship between them clear It is highly desirable that the results of an execution of a parallel program be the same regardless of the number of PEs used This is not always possible, especially if bitwise equivalence is desired, because floating point operations performed in a different order can produce small (or, for ill conditioned algorithms, not so small) changes in the resulting values However, if we know that the parallel program gives equivalent results when executed on one processor as many, then we can reason about correctness and do most of the testing on the single processor version This is much easier, and thus, when possible, sequential equivalence is a highly desirable goal

void sign() { PARAMSput("Signature", computeSignature()); } private String computeSignature() { byte[] bytes = getStringToSign()getBytes(); byte[] signature = null; synchronized (HMAC) { signature = HMACdoFinal(bytes); } return encode(Base64encode(signature)); } private String getStringToSign() { StringBuilder toSign = new StringBuilder("POST\n"); toSignappend(URLgetHost())append("\n"); toSignappend(URLgetPath())append("\n"); toSignappend(getParamString()); return toSigntoString(); } String getParamString() { StringBuilder result = new StringBuilder(); for (MapEntry<String, String> p : PARAMSentrySet()) { resultappend('&')append(pgetKey()); resultappend('=')append(pgetValue());

// Get the state of the TCP_NODELAY flag boolean state = someSocketgetTcpNoDelay();

Choosing which program structure pattern to use is usually straightforward In most cases, the programming environment selected for the project and the patterns used from the Algorithm Structure design space point to the appropriate program structure pattern to use We will consider these two factors separately The relationship between the patterns in the Algorithm Structure and Supporting Structures design spaces is shown in Table 51 Notice that the Supporting Structures patterns can be used with multiple Algorithm Structure patterns For example, consider the range of applications using the Master/Worker pattern: In [BCM+91, CG91, CGMS94], it is used to implement everything from embarrassingly parallel programs (a special case of the Task Parallelism pattern) to those using the

} return resultsubstring(1); // omit the leading '&' }

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