Cloud Computing Projects in Java

Cloud Computing Projects in Java

      Cloud Computing Projects in Java is established by our momentous skill development company to provide best in world-class real-time final year projects for research professoriates and students pursing BE, BTech, BCA, ME, MTech, BSC, MSC, MCA, MS and PhD. We help and support scholars to complete their Cloud Computing Projects in Java with an in-depth explanation on real-world project development. If you have any queries in your project or about our service, you can send it via mail. We will endeavor to respond to you within 24 hours by dint of our live-in care service. Here, we underlined our extremely quality

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Cloud Computing Projects in Java

     Cloud Computing Projects in Java is our world’s famous service which is introduced to help worldwide researchers and students society to conquer excellent position in their future living. Through our Cloud Computing Projects in Java service, mass of scholars have much benefits from world’s each and every corners. Every year, we deliver 5000+ Cloud Computing Projects in Java using advanced cloud computing research concepts.

Our Java Technology Experts Expertise in following areas:

  • Development Tools: Jdeveloper, RAD, Netbeans, Eclispse, etc.
  • Databases: Oracle, MS SQL Server, Hibernate, MySQL, etc.
  • Java Programming: Enterprise Java Beans (EJB), JSP& JSF, JMS, Java Applets and Servlets
  • J2EE Application Server: Tomcat/Apache, IBM Websphere, JBOSS Application Server, WebLogic, etc.
  • Web Application Frameworks: STRUTS and TILES, GWT, Tapestry, MVC Framework, etc.

Our Java Development Services in Java:

  • Java CMS Development
  • Java Web Application Development
  • Java Enterprise Application Development
  • Java Internet Applications
  • Java Application Migration and Integration
  • Java Application Maintenance and Support

Cloud Computing Vendors:

  We support the following cloud computing vendors for cloud computing projects (Application/Research based):

  • Amazon Web Services-EC2 (.NET, C#, Java)
  • Salesforce -Force.com (Visualforce, Apex, Java)
  • Google App Engine (Python, Java)
  • Micrposoft-Windows Azure Platform (C++, Java, .NET)
  • Many Others like Rackspace, Skytap, Heroku, VMWare

Here’s we provide few best examples for cloud computing projects in Java:

Example 1: Top-K Ranking with Index based Multi-keyword Search over Cloud

// Multi Keyword Search Over Untrusted Cloud

Public static Map parseCommandLineArguments(String[] args) {

Map<String, String> result = new HashMap<>();

String key, value;

for (int i = 0; i < args.length; i++) {

key = args[i];

if (key.charAt(0) == ‘-‘) {

if (i + 1 < args.length) {

value = args[i + 1];

if (value.charAt(0) != ‘-‘) {

result.put(key, value);

i++;

} else {

result.put(key, null);

}

} else {

result.put(key, null);

}

}

}

return result;

}

Public static String stripNonAlphaNumerics(String orig) {

StringBuilder sb = new StringBuilder();

char c;

for (int i = 0; i < orig.length(); i++) {

c = orig.charAt(i);

if ((c >= ‘a’ && c <= ‘z’) || (c >= ‘A’ && c <= ‘Z’) || (c >= ‘0’ && c <= ‘9’)) {

sb.append(c);

}

}

return sb.toString();

}

Public static void printStringOneCharPerLine(String s) {

for (int i = 0; i < s.length(); i++) {

int c = s.charAt(i);

System.out.println(c + ” \'” + (char) c + “\’ “);

}

}

Public static String escapeString(String s, char[] charsToEscape, char escapeChar) {

StringBuilder result = new StringBuilder();

for (int i = 0; i < s.length(); i++) {

char c = s.charAt(i);

if (c == escapeChar) {

result.append(escapeChar);

} else {

for (int j = 0; j < charsToEscape.length; j++) {

if (c == charsToEscape[j]) {

result.append(escapeChar);

break;

}

}

}

result.append(c);

}

return result.toString();

}

 //Map Function For Multikeyword Search

Public static Map<String, String[]> argsToMap(String[] args, Map<String, Integer> flagsToNumArgs) {

Map<String, String[]> result = new HashMap<>();

List<String> remainingArgs = new ArrayList<>();

String key;

for (int i = 0; i < args.length; i++) {

key = args[i];

if (key.charAt(0) == ‘-‘) { // found a flag

Integer maxFlagArgs = flagsToNumArgs.get(key);

int max = maxFlagArgs == null ? 0 : maxFlagArgs.intValue();

List<String> flagArgs = new ArrayList<>();

for (int j = 0; j < max && i + 1 < args.length && args[i + 1].charAt(0) != ‘-‘; i++, j++) {

flagArgs.add(args[i + 1]);

}

if (result.containsKey(key)) { // append the second specification into the args.

String[] newFlagArg = new String[result.get(key).length + flagsToNumArgs.get(key)];

int oldNumArgs = result.get(key).length;

System.arraycopy(result.get(key), 0, newFlagArg, 0, oldNumArgs);

for (int j = 0; j < flagArgs.size(); j++) {

newFlagArg[j + oldNumArgs] = flagArgs.get(j);

}

} else

result.put(key, flagArgs.toArray(new String[] {}));

} else {

remainingArgs.add(args[i]);

}

}

result.put(null, remainingArgs.toArray(new String[] {}));

return result;

}

Example 2: Multi-Factor Authentication in Cloud Computing

//Bioauthentication

List imageCollection;

imageCollection = new ArrayList();

List imageCollection1;

imageCollection1 = new ArrayList();

File [] files = path.listFiles();

File [] files1 = path1.listFiles();

int fz=files.length;

int sz=files1.length;

for(int i=0;i<fz;i++)

{

for(int j=0;j<sz;j++)

{

file1=files[i].getAbsolutePath();

file2=files1[j].getAbsolutePath();

Image image1 = Toolkit.getDefaultToolkit().getImage(file1);

Image image2 = Toolkit.getDefaultToolkit().getImage(file2);

try

{

PixelGrabber grab1 = new PixelGrabber(image1, 0, 0, -1, -1, false);

PixelGrabber grab2 = new PixelGrabber(image2, 0, 0, -1, -1, false);

int[] data1 = null;

if (grab1.grabPixels())

{

int width = grab1.getWidth();

int height = grab1.getHeight();

data1 = new int[width * height];

data1 = (int[]) grab1.getPixels();

}

int[] data2 = null;

if (grab2.grabPixels()) {

int width = grab2.getWidth();

int height = grab2.getHeight();

data2 = new int[width * height];

data2 = (int[]) grab2.getPixels();

}

System.out.println(“Pixels equal: ” + java.util.Arrays.equals(data1, data2));

Boolean result=java.util.Arrays.equals(data1, data2);

Date date = new Date();

// display time and date using toString()

System.out.println(date.toString());

String datee=date.toString();

String att=”Present”;

String falsatt=”Absent”;

Calendar cal = Calendar.getInstance();

cal.clear(Calendar.HOUR_OF_DAY);

cal.clear(Calendar.AM_PM);

cal.clear(Calendar.MINUTE);

cal.clear(Calendar.SECOND);

cal.clear(Calendar.MILLISECOND);

if(result==true)

{

res=true;

// DB_Form.addAcount(mac,att,datee);

System.err.println(“Match found”);

break;

}

else{

//}

res=false;

}

//

} catch (InterruptedException e1) {

e1.printStackTrace();

}

}

}

return res;

}

  Students can use this code for your final year cloud computing projects in Java. Now, you can view the list of available topics developed using Java.

  • Towards Cloud SaaS for Genetic Algorithm Based Web Service Composition Optimization
  • A Novel Architecture for PSO (Particle Swarm Optimization) andDynamic Queries Based Task Scheduling in Cloud Computing
  • Multi-Purpose Applications Using Service Differentiation and Collision Avoidance at the Wireless Sensor Network Mac Layer
  • A Decision Support Model Enabling Proactive Cloud Computing Adoption Vision
  • Mobile Networks Operators Towards Adopting Big Data Technology on Cloud
  • Online Multi-Instance Acquisition in infrastructure as a Service (IaaS) Clouds for Cost Optimization
  • Load Balancing by Using Markov Chain Model Approaches and MDCA in Cloud Service Selection
  • Data Quality Management Framework Based on Model Driven Architecture for IoT (Internet of Things)
  • Number of Response Time SLO Violations Reducing by Cloud HPC Convergence Scheduler
  • Collaborative Framework in Cloud Computing Environment for Detect Intrusion
  • Managing and Mapping Qualitative Data by Scalable Solution
  • Efficient Parallel of Light Weight Data Privacy Method Implementation for Mobile Cloud Users
  • Gfarm File System for Fault Tolerant Pwrake Workflow System Design
  • Data Intensive Workflow Scheduling Optimization Using Task Dependency Based Clustering
  • Hybrid De-duplication in Fog Computing for Secure and Efficient Data Outsourcing