Resolve "Implement Quarkus/Kotlin protype"

This MR resolves most of #109 (closed) and contains the first part of a prototype for a theodolite implementation in Kotlin.

At the moment, this MR contains the following parts:

• #129 (closed) Implementation for search strategies and restrictions
  • Linear search
  • Binary search
  • lower bound restriction
  • simple unit test
• #133 (closed) (merged with !82 (merged)) Adds a logging capability
• #130 (closed) Features of run_uc -> #126 (closed) and #127 (closed)
• #127 (closed) (merged with !79 (closed))
  • Communication with zookeeper, for example for resetting after a experiment run
• #126 (closed) (merged with !81 (closed))
  • Communication with Kafka, for example to create or delete Topics
• an execution package as a starting point for running theodolite
• ability to load Kubernetes resource configuration as yaml files, configure the loaded resource and deploy the modified resources to K8s. And, based on this, the implementation of the benchmark UC1 (I couldn't find a ticket for this, is there one already @stu203404)

Todos before ready to merge:

• apply open reviews (mostly for @stu203404)
• apply open reviews (mostly for @stu200776 and @stu126940)
• replace print statement with logger calls to fully resolve #133 (closed)
• finalize exemplary implementation of UC1
• maybe we should add a basic implementation of the SLOChecker (#135 (closed)) and the MetricFetcher (#139 (closed)) before merge moved to #135 (closed) and #139 (closed)

This MR closes:

Closes #126 (closed), Closes #127 (closed), Closes #133 (closed), Closes #129 (closed)

theodolite-quarkus/src/main/kotlin/theodolite/strategies/searchstrategy/BinarySearch.kt

+package theodolite.strategies.searchstrategy
+
+import theodolite.execution.BenchmarkExecutor
+import theodolite.util.LoadDimension
+import theodolite.util.Resource
+import java.lang.IllegalArgumentException
+
+/**
+ *  Search for the smallest suitable resource with binary search.
+ *
+ * @param benchmarkExecutor Benchmark executor which runs the individual benchmarks.
+ */
+class BinarySearch(benchmarkExecutor: BenchmarkExecutor) : SearchStrategy(benchmarkExecutor) {
+    override fun findSuitableResource(load: LoadDimension, resources: List<Resource>): Resource? {
+        val result = binarySearch(load, resources, 0, resources.size - 1)
+        if( result == -1 ) {
+            return null;
+        }
+        return resources[result]
+    }
+
+    private fun binarySearch (load: LoadDimension, resources: List<Resource>, lower: Int, upper: Int): Int {
+        if (lower > upper) {
+            throw IllegalArgumentException()
+        }
+        // special case:  length == 1 or 2
+        if (lower == upper) {
+            if (this.benchmarkExecutor.runExperiment(load, resources[lower])) return lower
+            else {
+                if (lower + 1 == resources.size) return - 1
+                return lower + 1
+            }
+        } else {
+            // apply binary search for a list with length > 2 and adjust upper and lower depending on the result for `resources[mid]`
+            val mid = (upper + lower) / 2
+            if (this.benchmarkExecutor.runExperiment(load, resources[mid])) {
+                if (mid == lower) {
+                    return lower
+                }
+                return binarySearch(load, resources, lower, mid - 1 )
+            } else {
+              return binarySearch(load, resources, mid + 1 , upper)
+            }
+        }
+    }
+
+}
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