mirror of https://github.com/BOINC/boinc.git
*** empty log message ***
svn path=/trunk/boinc/; revision=6325
This commit is contained in:
parent
d74f627d41
commit
289db963ab
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@ -7596,3 +7596,18 @@ David 8 June 2005
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cs_apps.C
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cs_benchmark.C
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net_stats.C
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David 9 June 2005
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- Changed variable names from "work_done" to "wall_cpu_time";
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it's important to emphasize that debt accounting
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is done on the basis of how long a process is running,
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NOT how much CPU time it actually or reportedly got.
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- don't count non-CPU-intensive apps in calculation of
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total_wall_cpu_time_this_period
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- fixed crash if you run core client with -attach_project X
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client/
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client_state.C,h
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client_types.C,h
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cs_apps.C
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cs_cmdline.C
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@ -115,7 +115,7 @@ CLIENT_STATE::CLIENT_STATE() {
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cpu_earliest_deadline_first = false;
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cpu_sched_last_time = 0;
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cpu_sched_work_done_this_period = 0;
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total_wall_cpu_time_this_period = 0;
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must_schedule_cpus = true;
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}
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@ -156,8 +156,8 @@ private:
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// CPU sched state
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//
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double cpu_sched_last_time;
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double cpu_sched_work_done_this_period;
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// CPU time since last schedule_cpus()
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double total_wall_cpu_time_this_period;
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// "wall CPU time" accumulated since last schedule_cpus()
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bool work_fetch_no_new_work;
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bool cpu_earliest_deadline_first;
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@ -93,7 +93,7 @@ void PROJECT::init() {
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strcpy(code_sign_key, "");
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user_files.clear();
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anticipated_debt = 0;
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work_done_this_period = 0;
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wall_cpu_time_this_period = 0;
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next_runnable_result = NULL;
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work_request = 0;
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work_request_urgency = WORK_FETCH_DONT_NEED;
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@ -248,9 +248,9 @@ public:
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double anticipated_debt;
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// expected debt by the end of the preemption period
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double work_done_this_period;
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// how much CPU time has been devoted to this
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// project in the current period (secs)
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double wall_cpu_time_this_period;
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// how much "wall CPU time" has been devoted to this
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// project in the current scheduling period (secs)
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struct RESULT *next_runnable_result;
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// the next result to run for this project
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@ -83,7 +83,6 @@ int CLIENT_STATE::app_finished(ACTIVE_TASK& at) {
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char path[256];
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int retval;
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double size;
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double task_cpu_time;
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bool had_error = false;
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@ -157,9 +156,9 @@ int CLIENT_STATE::app_finished(ACTIVE_TASK& at) {
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);
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}
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task_cpu_time = at.current_cpu_time - at.cpu_time_at_last_sched;
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at.result->project->work_done_this_period += task_cpu_time;
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cpu_sched_work_done_this_period += task_cpu_time;
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double wall_cpu_time = now - cpu_sched_last_time;
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at.result->project->wall_cpu_time_this_period += wall_cpu_time;
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total_wall_cpu_time_this_period += wall_cpu_time;
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return 0;
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}
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@ -394,18 +393,29 @@ void CLIENT_STATE::adjust_debts() {
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int count_cpu_intensive = 0;
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PROJECT *p;
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double min_short_term_debt=0, share_frac;
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double elapsed_time = gstate.now - cpu_sched_last_time;
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double wall_cpu_time = gstate.now - cpu_sched_last_time;
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SCOPE_MSG_LOG scope_messages(log_messages, CLIENT_MSG_LOG::DEBUG_TASK);
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// total up work done since last CPU reschedule
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// Total up total and per-project "wall CPU" since last CPU reschedule.
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// "Wall CPU" is the wall time during which a task was
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// runnable (at the OS level).
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//
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// We use wall CPU for debt calculation
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// (instead of reported actual CPU) for two reasons:
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// 1) the process might have paged a lot, so the actual CPU
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// may be a lot less than wall CPU
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// 2) BOINC relies on apps to report their CPU time.
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// Sometimes there are bugs and apps report zero CPU.
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// It's safer not to trust them.
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//
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for (i=0; i<active_tasks.active_tasks.size(); i++) {
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ACTIVE_TASK* atp = active_tasks.active_tasks[i];
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if (atp->scheduler_state != CPU_SCHED_SCHEDULED) continue;
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double task_cpu_time = elapsed_time;
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atp->result->project->work_done_this_period += task_cpu_time;
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cpu_sched_work_done_this_period += task_cpu_time;
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if (atp->result->project->non_cpu_intensive) continue;
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atp->result->project->wall_cpu_time_this_period += wall_cpu_time;
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total_wall_cpu_time_this_period += wall_cpu_time;
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}
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// find total resource shares of runnable and potentially runnable projects
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@ -429,8 +439,8 @@ void CLIENT_STATE::adjust_debts() {
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//
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if (p->potentially_runnable()) {
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share_frac = p->resource_share/potentially_runnable_resource_share;
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p->long_term_debt += share_frac*cpu_sched_work_done_this_period
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- p->work_done_this_period
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p->long_term_debt += share_frac*total_wall_cpu_time_this_period
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- p->wall_cpu_time_this_period
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;
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}
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total_long_term_debt += p->long_term_debt;
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@ -442,8 +452,8 @@ void CLIENT_STATE::adjust_debts() {
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p->anticipated_debt = 0;
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} else {
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share_frac = p->resource_share/runnable_resource_share;
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p->short_term_debt += share_frac*cpu_sched_work_done_this_period
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- p->work_done_this_period
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p->short_term_debt += share_frac*total_wall_cpu_time_this_period
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- p->wall_cpu_time_this_period
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;
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if (first) {
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first = false;
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@ -536,7 +546,7 @@ bool CLIENT_STATE::schedule_cpus() {
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atp = active_tasks.active_tasks[i];
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atp->next_scheduler_state = CPU_SCHED_PREEMPTED;
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}
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expected_pay_off = cpu_sched_work_done_this_period / ncpus;
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expected_pay_off = total_wall_cpu_time_this_period / ncpus;
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for (j=0; j<ncpus; j++) {
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if (cpu_earliest_deadline_first) {
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if (!schedule_earliest_deadline_result(expected_pay_off)) break;
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@ -590,13 +600,13 @@ bool CLIENT_STATE::schedule_cpus() {
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// reset work accounting
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// doing this at the end of schedule_cpus() because
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// work_done_this_period's can change as apps finish
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// wall_cpu_time_this_period's can change as apps finish
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//
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for (i=0; i<projects.size(); i++) {
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p = projects[i];
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p->work_done_this_period = 0;
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p->wall_cpu_time_this_period = 0;
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}
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cpu_sched_work_done_this_period = 0;
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total_wall_cpu_time_this_period = 0;
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set_client_state_dirty("schedule_cpus");
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return true;
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@ -146,7 +146,7 @@ void CLIENT_STATE::parse_cmdline(int argc, char** argv) {
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} else if (ARG(run_cpu_benchmarks)) {
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run_cpu_benchmarks = true;
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} else if (ARG(attach_project)) {
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if (i > argc-2) {
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if (i >= argc-2) {
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show_options = true;
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} else {
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strcpy(attach_project_url, argv[++i]);
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@ -0,0 +1,254 @@
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<?php
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require_once("docutil.php");
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page_head("Client scheduling");
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echo "
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This document describes two related parts of the BOINC core client
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(version 4.36 and later):
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<p>
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<b>CPU scheduling policy</b>:
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Of the set of results that are runnable (see below),
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which ones to execute?
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(On a machine with N CPUs, BOINC will try to execute N results at once).
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<p>
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<b>Work-fetch policy</b>:
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When should the core client ask a project for more work,
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which project should it ask,
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and how much work should it ask for?
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<p>
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The goals of the CPU scheduler and work-fetch policies are
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(in descending priority):
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<ul>
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<li> Results should be completed and reported by their deadline
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(results reported after their deadline
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may not have any value to the project and may not be granted credit).
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<li> Project resource shares should be honored over the long term;
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<li> If a computer is attached to multiple projects,
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execution should rotate among projects on a frequent basis.
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</ul>
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The policies are designed to accommodate all scenarios,
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including those with computers that are slow or are attached
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to a large number of projects.
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<p>
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In previous versions of BOINC,
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the core client attempted to maintain at least one result
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for each attached project,
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and would do weighted round-robin CPU scheduling among all projects.
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In some scenarios (any combination of slow computer,
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lots of projects, and tight deadlines) a computer could
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miss the deadlines of all its results.
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The new policies solve this problem as follows:
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<ul>
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<li>
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Work fetch is limited to ensure that deadlines can be met.
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A computer attached to 10 projects might
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have work for only a few (perhaps only one) at a given time.
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<li>
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If deadlines are threatened,
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the CPU scheduling policy switches to a mode
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(earliest deadline first) that optimizes the likelihood
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of meeting deadlines, at the expense of variety.
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</ul>
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<h2>Concepts and terms</h2>
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<h3>Wall CPU time</h3>
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A result's <b>wall CPU time</b> is the amount of wall-clock time
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its process has been runnable at the OS level.
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The actual CPU time may be much less than this,
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e.g. if the process does a lot of paging,
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or if other (non-BOINC) processing jobs run at the same time.
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<p>
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BOINC uses wall CPU time as the measure of how much resource
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has been given to each project.
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Why not use actual CPU time instead?
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<ul>
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<li> Wall CPU time is more fair in the case of paging apps.
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<li> The measurement of actual CPU time depends on apps to
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report it correctly.
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Sometimes apps have bugs that cause them to always report zero.
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This screws up the scheduler.
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</ul>
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<h3>Result states</h3>
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A result is <b>runnable</b> if
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<ul>
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<li> Neither it nor its project is suspended, and
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<li> its files have been downloaded, and
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<li> it hasn't finished computing
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</ul>
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A result is <b>runnable soon</b> if
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<ul>
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<li> Neither it nor its project is suspended, and
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<li> it hasn't finished computing
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</ul>
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<h3>Project states</h3>
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A project is <b>runnable</b> if
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<ul>
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<li> It's not suspended, and
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<li> it has at least one runnable result
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</ul>
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A project is <b>downloading</b> if
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<ul>
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<li> It's not suspended, and
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<li> it has at least one result whose files are being downloaded
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</ul>
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A project is <b>contactable</b> if
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<ul>
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<li> It's not suspended, and
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<li> its master file has already been fetched, and
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<li> it's not deferred (i.e. its minimum RPC time is in the past), and
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<li> it's no-new-work flag is not set
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</ul>
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A project is <b>potentially runnable</b> if
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<ul>
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<li> It's either runnable, downloading, or contactable.
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</ul>
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<h3>Debt</h3>
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Intuitively, a project's 'debt' is how much work is owed to it,
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relative to other projects.
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BOINC uses two types of debt;
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each is defined related to a set S of projects.
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In each case, the debt is recalculated periodically as follows:
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<ul>
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<li> A = the wall CPU time used by projects in S during this period
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<li> R = sum of resource shares of projects in S
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<li> For each project P in S:
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<ul>
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<li> F = P.resource_share / R (i.e., P's fractional resource share)
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<li> W = A*F (i.e., how much wall CPU time P should have gotten)
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<li> P.debt += W - P.wall_cpu_time (i.e. what P should have gotten
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minus what it got).
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</ul>
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<li> P.debt is normalized (e.g. so that the mean or minimum is zero).
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</ul>
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<b>Short-term debt</b> is used by the CPU scheduler.
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It is adjusted over the set of runnable projects.
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It is normalized so that minimum short-term debt is zero,
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and maximum short-term debt is no greater than 86400 (i.e. one day).
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<p>
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<b>Long-term debt</b> is used by the work-fetch policy.
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It is adjusted over the set of potentially runnable projects.
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It is normalized so that average long-term debt is zero.
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<h2>The CPU scheduling policy</h2>
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<p>
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The CPU scheduler has two modes, <b>normal</b> and <b>panic</b>.
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In normal mode, the CPU scheduler runs the project(s)
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with the greatest short-term debt.
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Specifically:
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<ol>
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<li> Set the 'anticipated debt' of each project to its short-term debt
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<li> Find the project P with the greatest anticipated debt,
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select one of P's runnable results
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(picking one that is already running, if possible)
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and schedule that result.
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<li> Decrement P's anticipated debt by the 'expected payoff'
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(the total wall CPU in the last period divided by #CPUs).
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<li> Repeat steps 2 and 3 for additional CPUs
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</ol>
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Over the long term, this results in a round-robin policy,
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weighted by resource shares.
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<p>
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In panic mode, the CPU scheduler
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schedules the runnable results with the earliest deadlines.
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This allows the client to meet deadlines that would otherwise be missed.
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<p>
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The CPU scheduler runs when a result is completed,
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when the end of the user-specified scheduling period is reached,
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when new results become runnable,
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or when the user performs a UI interaction
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(e.g. suspending or resuming a project or result).
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<h2>The work-fetch policy</h2>
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<p>
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X is the estimated wall time by which the number of
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runnable results will fall below #CPUs.
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<p>
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min_queue is the user's network-connection period general preference.
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<p>
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work_fetch_OK is a flag set by the mode selection algorithm (see below).
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<p>
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The work-fetch policy maintains an 'overall urgency':
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<ul>
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<li>
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<b>NEED_IMMEDIATELY</b>:
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there is at least one idle CPU
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<li>
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<b>NEED</b>:
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X < than min_queue
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<li>
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<b>OK</b>:
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X > min_queue, work_fetch_OK is true
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<li>
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<b>DONT_NEED</b>:
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work_fetch_OK is false
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</ul>
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<p>
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In addition, the work-fetch policy maintains a per-project work-fetch mode:
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<p>
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R(P) = fractional resource share of P
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<p>
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X(P) = estimated wall time when number of runnable results for P
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will fall below #CPUs*R(P)
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<ul>
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<li>
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<b>NEED_IMMEDIATELY</b>:
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no results of P are runnable soon.
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<li>
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<b>NEED</b>:
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X(P) < min_queue * R(P)
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<li>
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<b>OK</b>:
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X(P) > min_queue * R(P),
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and P is not suspended or deferred or no-new-work
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<li>
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<b>DONT_NEED</b>:
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P is suspended or deferred or no-new-work
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</ul>
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<p>
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<h2>Mode selection</h2>
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<p>
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Sort the work units by deadline, earliest first.
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If at any point in this list, the sum of the remaining
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processing time is greater than 0.8 * up_frac * time to deadline,
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the CPU queue is overloaded.
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This triggers both no work requests and the CPU scheduler
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into earliest deadline first.
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<p>
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Sum the fraction that the remaining processing time is of the time
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to deadline for each work unit.
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If this is greater than 0.8 * up_frac, the CPU queue is fully loaded.
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This triggers no work fetch.
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";
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page_tail();
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||||
?>
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