Upgraded fibonacci to deal with large numbers

.github/configs/wordlist.txt

@@ -221,6 +221,7 @@ goroutine
 gradle
 gradlew
 Gratz
+grayscale
 grot
 Grot
 gRPC
@@ -443,6 +444,7 @@ Prefetch
 Prefetched
 Prefetching
 preprocessor
+preprocesses
 priyank
 Priyank
 proc
@@ -483,6 +485,8 @@ recommender
 recommendationservice
 repo
 Repos
+rnn
+RNN
 roadmap
 RPC
 rpc
@@ -535,6 +539,7 @@ Sotiria
 SPECU
 specversion
 Sprintf
+squeezenet
 src
 SSD
 sslip
@@ -647,6 +652,7 @@ zA
 Zhu
 zipkin
 Zipkin
+zlib
 
 EsjWHBuJ
 HZPSfs

benchmarks/fibonacci/go/server.go

@@ -29,6 +29,7 @@ import (
 	"fmt"
 	"net"
 	"strconv"
+	"math/big"
 
 	pb "github.com/vhive-serverless/vSwarm-proto/proto/fibonacci"
 	tracing "github.com/vhive-serverless/vSwarm/utils/tracing/go"
@@ -42,14 +43,19 @@ var (
 	address = flag.String("addr", "0.0.0.0:50051", "Address:Port the grpc server is listening to")
 )
 
-func fibonacci(num int) float64 {
-	var num1 float64 = 0
-	var num2 float64 = 1
-	var sum float64
+func fibonacci(num int) *big.Int {
+	if num <= 0 {
+		return big.NewInt(0)
+	}
+
+	num1 := big.NewInt(0)
+	num2 := big.NewInt(1)
+	sum := big.NewInt(0)
+
 	for i := 0; i < num; i++ {
-		sum = num1 + num2
-		num1 = num2
-		num2 = sum
+		sum.Add(num1, num2)
+		num1.Set(num2)
+		num2.Set(sum)
 	}
 	return num1
 }
@@ -64,7 +70,7 @@ func (s *server) SayHello(ctx context.Context, in *pb.HelloRequest) (*pb.HelloRe
 	// log.Printf("Received: %v", in.GetName())
 	x, _ := strconv.ParseInt(in.GetName(), 10, 64)
 	var y = fibonacci(int(x))
-	resp := fmt.Sprintf("fn: Fib: y = fib(x) | x: %d y: %.1f | runtime: GoLang", x, y)
+	resp := fmt.Sprintf("fn: Fib: y = fib(x) | x: %d y: %s | runtime: GoLang", x, y.String())
 	return &pb.HelloReply{Message: resp}, nil
 }
 

benchmarks/fibonacci/nodejs/server.js

@@ -41,16 +41,16 @@ var hello_proto = grpc.loadPackageDefinition(packageDefinition).fibonacci;
 
 
 function fibonacci(num) {
-  var num1 = 0;
-  var num2 = 1;
-  var sum;
+  let num1 = BigInt(0);
+  let num2 = BigInt(1);
+  let sum = BigInt(0);
   var i = 0;
   for (i = 0; i < num; i++) {
     sum = num1 + num2;
     num1 = num2;
     num2 = sum;
   }
-  return num1;
+  return num1.toString();
 }
 
 /**

benchmarks/fibonacci/python/server.py

@@ -58,6 +58,8 @@
     tracing.grpcInstrumentClient()
     tracing.grpcInstrumentServer()
 
+sys.set_int_max_str_digits(500000)
+
 def fibonacci(num):
     num1=0
     num2=1
@@ -79,7 +81,7 @@ def SayHello(self, request, context):
             y = fibonacci(x)
 
         gid = syscall(104)
-        msg = "fn: Fib: y = fib(x) | x: %i y: %.1f | runtime: python" % (x,y)
+        msg = "fn: Fib: y = fib(x) | x: %i y: %i | runtime: python" % (x,y)
         return fibonacci_pb2.HelloReply(message=msg)
 
 

benchmarks/video-analytics-standalone/README.md

@@ -1,6 +1,6 @@
 # Video Analytics Standalone Benchmark
 
-The video analyics standalone benchmark preprocesses an input video and runs an object detection model (squeezenet) on the video. An input video can be specified, but if nothing is given, a default video is used. This benchmark also utilises and depends on a database to store the videos that can be used, which in turn uses MongoDB. 
+The video analytics standalone benchmark preprocesses an input video and runs an object detection model (squeezenet) on the video. An input video can be specified, but if nothing is given, a default video is used. This benchmark also utilises and depends on a database to store the videos that can be used, which in turn uses MongoDB. 
 
 The `init-database.go` script runs when starting the function and populates the database with the videos from the `videos` folder.