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From Figure 182 we can infer that when the Java nature was configured, it installed the Java builder We will want to create an auto-test nature that will install an auto-test builder The test looks like this We have our usual setup and teardown using a TestProject:

To reduce energy costs, nodes transmit metadata to determine when code is needed However, the cost of periodically transmitting metadata consumes almost the same amount of energy as actually transmitting the code itself Therefore, there is a crucial need for the reprogramming algorithm to be ef cient in this aspect and effectively determine when nodes should propagate code Motivated by this requirement, the authors in reference 15 have identi ed three main properties that a reprogramming algorithm should have They are as follows: r Low Maintenance When a network is in a stable state, metadata exchanges should be infrequent, just enough to ensure that the network has a single program r Rapid Propagation When the network discovers nodes that need update, it should propagate the code as fast as possible and to every node of the network r Scalability.

OPERATING BENEFIT COST What cost measure should you focus on when you manage your pension plan Pension cost as defined by the Financial Accounting Standards Board, minimum contributions level as defined by the Employee Retirement Income Security Act (ERISA), or something else Well, like a lot of things in life, it depends. However, in general, we recommend our clients try to separate decisions they make on the level of benefits from the decisions about the financing of the benefits. We recommend that clients view their total pension plan costs as shown in Table 6.6. For example, if a DB plan is in surplus and has no required minimum contribution ($0), then the cost of making a plan change would be understated if you looked simply at the impact on the minimum contribution requirement. In this case, the minimum may stay at zero, but the future costs of the plan have changed.

The algorithm should obviously be scalable and be robust against any environmental changes and node failures Trickle tries to meet all these requirements Its basic working principle is simple Every so often, a mote transmits code metadata if it has not heard a few other motes transmit the same information Trickle sends all messages to the local broadcast address When a neighbor receives a broadcast, either it is up to date, or it detects the need for an update Detection can be the result of either an out-of-date mote hearing someone having a new code, or an updated mote hearing someone has old code As long as every mote communicates somehow, the need for an update is always detected It does not matter who transmits rst, but as long as some nodes communicate with each other at a nonzero rate, every node would be up to date.

private TestProject testProject; protected void setUp() throws Exception { testProject= new TestProject(); testProjectaddJar("orgjunit", "junitjar"); } protected void tearDown() throws Exception { testProjectdispose(); } We need a home for the logic required to install a nature It doesn't seem to fit smoothly into any of the existing classes In cases like this, where we know we need a well-known entry point, the plug-in class provides a convenient location How can we write a test that will specify the behavior of this method before we try to implement it

More formally, each node maintains a counter c, a threshold k, and a timer t in the range of [0, ] k is a small, xed integer (eg, 1 or 2) and is a time constant When a node hears metadata identical to its own, it increments the counter c At the timepoint t, which is uniformly randomly chosen in the range of [0, ], the mote broadcasts its metadata only if c < k When the interval of size completes, c is reset to zero and t is reset to a new random value in the range [0, ] Thus, Trickle allows each node to broadcast its metadata at most once per period , thus maintaining the politeness of its gossip In each interval , the sum of receptions and sends of each mote is k.

public void testNatureAddAndRemove() throws CoreException { IProject project= testProjectgetProject(); JUnitPlugingetPlugin()addAutoBuildNature(project); assertTrue(projecthasNature(JUnitPluginAUTO_TEST_NATURE)); ICommand[] commands= project()getDescription()getBuildSpec(); boolean found= false; for (int i = 0; i < commandslength; ++i) if (commands[i]getBuilderName()equals( JUnitPluginAUTO_TEST_BUILDER)) found= true; assertTrue(found); JUnitPlugingetPlugin()removeAutoBuildNature(project); assertFalse(projecthasNature(JUnitPluginAUTO_TEST_NATURE)); } We use methods provided by the JUnitPlugin to add and remove our new nature Notice that we pass theIProject and not the IJavaProject, because natures are associated with all projects The assertions state that as a result of adding and configuring an auto-test nature, we should install a new builder