diff --git a/dubbo-cluster/src/main/java/org/apache/dubbo/rpc/cluster/loadbalance/SelfAdaptionLoadBalance.java b/dubbo-cluster/src/main/java/org/apache/dubbo/rpc/cluster/loadbalance/SelfAdaptionLoadBalance.java
new file mode 100644
index 0000000000..d3f7f087a3
--- /dev/null
+++ b/dubbo-cluster/src/main/java/org/apache/dubbo/rpc/cluster/loadbalance/SelfAdaptionLoadBalance.java
@@ -0,0 +1,157 @@
+package org.apache.dubbo.rpc.cluster.loadbalance;
+
+import org.apache.dubbo.common.URL;
+import org.apache.dubbo.common.utils.NamedThreadFactory;
+import org.apache.dubbo.rpc.Invocation;
+import org.apache.dubbo.rpc.Invoker;
+import org.apache.dubbo.rpc.RpcStatus;
+
+import java.util.List;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.ConcurrentMap;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
+import java.util.concurrent.ThreadLocalRandom;
+import java.util.concurrent.atomic.AtomicBoolean;
+
+/**
+ * @Author: Lee
+ */
+public class SelfAdaptionLoadBalance extends  AbstractLoadBalance{
+
+    public static final String NAME = "selfadaption";
+
+    private final int SLIDE_PERIOD = 10000;
+
+    private AtomicBoolean onResetSlideWindow = new AtomicBoolean(false);
+
+    private ConcurrentMap<RpcStatus,SlideWindowCalculat> map = new ConcurrentHashMap<RpcStatus,SlideWindowCalculat>();
+
+
+    private volatile  long lastUpdateTime = System.currentTimeMillis();
+
+    private ExecutorService executorService;
+
+    public SelfAdaptionLoadBalance(){
+        this.executorService = Executors.newCachedThreadPool(new NamedThreadFactory("Dubbo-framework-shared-handler",true));
+    }
+
+    @Override
+    protected <T> Invoker<T> doSelect(List<Invoker<T>> invokers, URL url, Invocation invocation) {
+        int length = invokers.size();
+
+        long leastFailed = Long.MAX_VALUE;
+
+        int leastFaiedCount = 0;
+
+        /**
+         *  the index of invokers having the same estimated shortest response time
+         */
+        int[] leastFailedIndexes = new int[length];
+        /**
+         * 每个服务提供者的权重
+         */
+        int[] weights = new int[length];
+
+        int totalWeight = 0;
+
+        int firstWeight = 0;
+
+        boolean sameWeight = true;
+
+        for (int i = 0;i<length;i++){
+            Invoker<T> invoker = invokers.get(i);
+            RpcStatus rpcStatus = RpcStatus.getStatus(invoker.getUrl(),invocation.getMethodName());
+            SlideWindowCalculat slideWindowCalculat = map.computeIfAbsent(rpcStatus,SlideWindowCalculat::new);
+
+            long estimateFailed = slideWindowCalculat.getEstimateFailGrade();
+
+            int afterWarmup = getWeight(invoker,invocation);
+            weights[i] = afterWarmup;
+
+            if (estimateFailed  < leastFailed && afterWarmup > 0){
+
+                leastFailed = estimateFailed;
+                leastFaiedCount = 1;
+                leastFailedIndexes[0] = i;
+                totalWeight = afterWarmup;
+                firstWeight = afterWarmup;
+                sameWeight = true;
+
+            }else if (estimateFailed == leastFailed){
+
+                leastFailedIndexes[leastFaiedCount++] = i;
+                totalWeight += afterWarmup;
+                if (sameWeight && i >0 && afterWarmup != firstWeight){
+                    sameWeight = false;
+                }
+            }
+
+        }//end for
+
+        if (System.currentTimeMillis() - this.lastUpdateTime > (long) this.SLIDE_PERIOD && this.onResetSlideWindow.compareAndSet(false,true)){
+            this.executorService.execute(() ->{
+                this.map.values().forEach(SlideWindowCalculat::reset);
+                this.lastUpdateTime = System.currentTimeMillis();
+                this.onResetSlideWindow.set(false);
+            });
+        }
+
+        /**
+         * 最优解只有一个的情况
+         */
+        if (leastFaiedCount == 1){
+            return invokers.get(leastFailedIndexes[0]);
+        }
+
+        //最优解不止1个
+        if (!sameWeight && totalWeight > 0){
+            int offsetWeight = ThreadLocalRandom.current().nextInt(totalWeight);
+            for (int i = 0; i < leastFaiedCount;i++){
+                int shortestIndex  = leastFailedIndexes[i];
+                offsetWeight -= weights[shortestIndex];
+                if (offsetWeight < 0 ){
+                    return  invokers.get(shortestIndex);
+                }
+            }
+        }
+
+        /**
+         * 最优解不止1个，且权重相同，最随机选择，兜底；
+         */
+        return invokers.get(leastFailedIndexes[ThreadLocalRandom.current().nextInt(leastFaiedCount)]);
+    }
+
+    protected static class SlideWindowCalculat{
+
+        private long failedOffset;
+        private long  failedElapasedOffset;
+
+        private RpcStatus rpcStatus;
+
+        public SlideWindowCalculat(RpcStatus rpcStatus){
+            this.rpcStatus = rpcStatus;
+            this.failedOffset = 0l;
+            this.failedElapasedOffset = 0l;
+
+        }
+
+        public void reset(){
+            this.failedOffset = this.rpcStatus.getFailed();
+            this.failedElapasedOffset = this.rpcStatus.getFailedElapsed();
+        }
+
+
+        private long getFailAverageElapsed(){
+            long failed = this.rpcStatus.getFailed() - this.failedOffset;
+            return  failed == 0l ? 0l :(this.rpcStatus.getAverageElapsed() - this.failedElapasedOffset) / failed;
+        }
+
+        public long getEstimateFailGrade(){
+
+            int active = this.rpcStatus.getActive() + 1;
+            return  this.getFailAverageElapsed() * (long)active;
+        }
+
+    }
+}
diff --git a/dubbo-cluster/src/main/resources/META-INF/dubbo/internal/org.apache.dubbo.rpc.cluster.LoadBalance b/dubbo-cluster/src/main/resources/META-INF/dubbo/internal/org.apache.dubbo.rpc.cluster.LoadBalance
index 1bb371b7f7..c8475e9205 100644
--- a/dubbo-cluster/src/main/resources/META-INF/dubbo/internal/org.apache.dubbo.rpc.cluster.LoadBalance
+++ b/dubbo-cluster/src/main/resources/META-INF/dubbo/internal/org.apache.dubbo.rpc.cluster.LoadBalance
@@ -4,3 +4,5 @@ leastactive=org.apache.dubbo.rpc.cluster.loadbalance.LeastActiveLoadBalance
 consistenthash=org.apache.dubbo.rpc.cluster.loadbalance.ConsistentHashLoadBalance
 shortestresponse=org.apache.dubbo.rpc.cluster.loadbalance.ShortestResponseLoadBalance
 adaptive=org.apache.dubbo.rpc.cluster.loadbalance.AdaptiveLoadBalance
+selfadaption=org.apache.dubbo.rpc.cluster.loadbalance.SelfAdaptionLoadBalance
+