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   <h1><a href="index.html">SHEDS</span> <small>A Simple and Secure Cost Efficient Data Storage in Heterogeneous Multiple Cloud </small></a></h1>
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        <%
String name = null;
	String a = (String) application.getAttribute("cloudName");


	String s = a, usr2 = "";


	//Rackspace
//Amazon S3
//Windows Azure
//Aliyun OSS
	
	if (!(a.equalsIgnoreCase("Amazon S3") || a.equalsIgnoreCase("Windows Azure") || a
			.equalsIgnoreCase("Aliyun OSS"))) {
		usr2 = a;

		application.setAttribute("ocn", usr2);
%>

<h2>Welcome To <%=usr2%> Cloud Server Control Panel</h2>

<%
	}

	if (!(a.equalsIgnoreCase("Rackspace") || a.equalsIgnoreCase("Windows Azure") || a
			.equalsIgnoreCase("Aliyun OSS"))) {

		
		String b=(String)application.getAttribute("cnames2");
		usr2 = b;
		application.setAttribute("ocn", usr2);
		%>

		<h2>Welcome To <%=usr2%> Control Panel</h2>

		<%
	}
	if (!(a.equalsIgnoreCase("Rackspace") || a.equalsIgnoreCase("Amazon S3") || a
			.equalsIgnoreCase("Aliyun OSS"))) {

		
		String c=(String)application.getAttribute("cnames3");
		usr2 = c;
		application.setAttribute("ocn", usr2);
		%>

		<h2>Welcome To <%=usr2%> Control Panel</h2>

		<%
	}
	if (!(a.equalsIgnoreCase("Rackspace") || a.equalsIgnoreCase("Amazon S3") || a
			.equalsIgnoreCase("Windows Azure"))) {

		
		String d=(String)application.getAttribute("cnames4");
		usr2 = d;
		application.setAttribute("ocn", usr2);
		%>

		<h2>Welcome To <%=usr2%> Control Panel</h2>

		<%
	}
%>
        
        
            <p class="infopost"><span class="style3 style2">CloudServer  </span>&nbsp;&nbsp;|<span class="style1">&nbsp;&nbsp;Control Panel </span></p>
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            <p>This paper proposes a novel data hosting scheme (named SHEDS) which integrates two key functions desired. The first is selecting several suitable clouds and an appropriate redundancy strategy to store data with minimized monetary cost and guaranteed availability. The second is triggering a transition process to re-distribute data according to the variations of data access pattern and pricing of clouds. We evaluate the performance of SHEDS using both trace-driven simulations and prototype experiments. .</p>
            <p>The results show that compared with the major existing schemes, SHEDS not only saves around 20% of monetary cost but also exhibits sound adaptability to data and price adjustments</p>
            <p class="spec"><a href="#" class="rm">Read more &raquo;</a></p>
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          <h2 class="star"><span>SHEDS Menu </span></h2>
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          <ul class="ex_menu">
            <li><a href="#">Pricing Models of Mainstream Clouds</a><br />
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            <li><a href="#">Erasure coding</a></li>
            <li><a href="#">Combining Replication and Erasure Coding</a><br />
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            <li><a href="#">Comparison of Data Hosting Modes</a><br />
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        <h2><span>Image</span> Gallery</h2>
        <a href="#"><img src="images/gal1.jpg" width="75" height="75" alt="" class="gal" /></a> <a href="#"><img src="images/gal2.jpg" width="75" height="75" alt="" class="gal" /></a> <a href="#"><img src="images/gal3.jpg" width="75" height="75" alt="" class="gal" /></a> <a href="#"><img src="images/gal4.jpg" width="75" height="75" alt="" class="gal" /></a> <a href="#"><img src="images/gal5.jpg" width="75" height="75" alt="" class="gal" /></a> <a href="#"><img src="images/gal6.jpg" width="75" height="75" alt="" class="gal" /></a> </div>
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        <h2><span>Multi-cloud data hosting</span></h2>
        <p align="justify">Multi-cloud data hosting received wide ttention from researchers, customers, and . The basic principle of multi-cloud (data hosting) is distribute data across multiple clouds to gain enhanced redundancy and prevent the vendor lock-in risk, as shownThe potential prevalence of multi-cloud is illustrated in three<br />
          folds. First, there have been a few researches conducted on multi-cloud. DepSky guarantees data availability and security  on multiple clouds.</p>
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        <h2><span>Vendor lock-in risk</span></h2>
        <p>Facing numerous cloud vendors as well 
          as their heterogenous performances/policies, customers may 
          be perplexed with which cloud(s) are suitable for storing their 
        data and what hosting strategy is cheaper.</p>
        <p>The general status
          quo is that customers usually put their data into a single cloud 
        and then simply trust to luck.</p>
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