THE DATA DELUGE: AN E-SCIENCE PERSPECTIVE in Java

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Even rational businesses invent their own calendars. Many companies observe fiscal years that start on days other than the first of January, and some use a 5-4-4 system as their fiscal calendar. The 5-4-4 system describes the number of weeks in a month, regardless of whether the days actually fall in the calendar month. All of these are examples of calendar systems, whose differences strive to meet different needs. Given the proliferation of calendars, perhaps it shouldn t be surprising that databases handle and manage dates and times in different ways. Each database stores dates in its own internal format. What is the earliest date supported by the database How much storage space does a date column require How accurate is a time stamp The answers are specific to the database implementation. However, databases do all work within the same framework, the familiar Gregorian calendar, with its yearly cycle of twelve months. The next few sections discuss some of the particulars of using these data types.
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[l 11 W. Tighe, K. Chien, E.Solis, P. Robello, D. M. Goebel, and J. S. Snyder, Performance Evaluation of the XIPS 25-cm Thruster for Application to NASA Missions, AIAA-2006-4999, 42nd Joint Propulsion Conference, Sacramento, California, July 9-12,2006.
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On receiving a message, a process marks it as undeliverable and sends the value of the logical clock as the proposed timestamp to the initiator. When the initiator has received all the proposed timestamps, it takes the maximum of all proposals and assigns that timestamp as the final timestamp to that message. This value is sent to all the destinations. On receiving the final timestamp of a message, it is marked as deliverable.
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The toolkit components that are most relevant to OGSA are the Grid Resource Allocation and Management (GRAM) protocol and its gatekeeper service, which provides for secure, reliable service creation and management [18]; the Meta Directory Service (MDS-2) [19], which provides for information discovery through soft-state registration [20, 21], data modeling, and a local registry ( GRAM reporter [18]); and the Grid security infrastructure (GSI), which supports single sign-on, delegation, and credential mapping. As illustrated in Figure 8.1, these components provide the essential elements of a service-oriented architecture, but with less generality than is achieved in OGSA. The GRAM protocol provides for the reliable, secure remote creation and management of arbitrary computations: what we term in this article as transient service instances. GSI mechanisms are used for authentication, authorization, and credential delegation [22] to remote computations. A two-phase commit protocol is used for reliable invocation, based on techniques used in the Condor system [23]. Service creation is handled by a small, trusted gatekeeper process (termed a factory in this article), while a GRAM reporter monitors and publishes information about the identity and state of local computations (registry). MDS-2 [19] provides a uniform framework for discovering and accessing system con guration and status information such as compute server con guration, network status, or the locations of replicated datasets (what we term a discovery interface in this chapter). MDS-2 uses a soft-state protocol, the Grid Noti cation Protocol [24], for lifetime management of published information. The public key-based GSI protocol [25] provides single sign-on authentication, communication protection, and some initial support for restricted delegation. In brief, single sign-on allows a user to authenticate once and thus create a proxy credential that a program can use to authenticate with any remote service on the user s behalf. Delegation allows for the creation and communication to a remote service of delegated proxy credentials that the remote service can use to act on the user s behalf, perhaps with various restrictions; this
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In every area of every solution, the value of documentation increases as the mix of elements and structure becomes more complex, as time passes and memory fades, or as the number of people working on a system increases or changes. In a solution of less than a hundred lines of code, even if you ve never seen it, you can probably comprehend its entire scope and purpose in the space of an afternoon. A solution of a thousand (or 10,000) lines of code, however, is a different proposition. At this point, some well-placed sign posts may be the only thing preventing you from becoming hopelessly lost. A problem, however, arises when you put off documenting your solutions at first because they re small (everything starts small, after all), and then because you re onto the next thing (and, besides, you can remember where you ve been). But soon, a solution grows to the point where retrospectively documenting it is a major undertaking. When it comes to documentation, Don t wait, or it will be too late is an excellent motto.
To get the ball rolling, I begin with a simple example of a VBA procedure. This procedure, named CountCharts, displays a message box that tells you the name of the active sheet and the number of charts on the sheet. Figure 14-1 shows the message box that pops up when this macro is executed.
FIGURE 28.7 Three kinds of traps, from left to right: spreading, choking, and centering, with an untrapped image at the far right that was misregistered during printing.
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