Altiscale-Technology : The Future Of The Internet

Wireless communication has become a major part of communication for businesses. Dirt Bikes can benefit from wireless communication in more ways than one. It helps to keep in touch with suppliers, customers and employees. Wireless communication are like personal computers. Employees can use their smart phones to download pictures, information management or email important information or pictures to potential buyers. Dirt Bikes can provide wireless access to employees which will also help with productivity. Wireless printers can be placed in one department and used by several

Hadoop \cite{white2012hadoop} is an open-source framework for distributed storage and data-intensive processing, first developed by Yahoo!. It has two core projects: Hadoop Distributed File System (HDFS) and MapReduce programming model \cite{dean2008mapreduce}. HDFS is a distributed file system that splits and stores data on nodes throughout a cluster, with a number of replicas. It provides an extremely reliable, fault-tolerant, consistent, efficient and cost-effective way to store a large amount of data. The MapReduce model consists of two key functions: Mapper and Reducer. The Mapper processes input data splits in parallel through different map tasks and sends sorted, shuffled outputs to the Reducers that in turn groups and processes them using a reduce task for each group.

MapReduce Parallel programming model if we ever get a chance. In Hadoop, there are two nodes in the cluster when using the algorithm, Master node and Slave node. Master node runs Namenode, Datanode, Jobtracker and Task tracker processes. Slave node runs the Datanode and Task tracker processes. Namenode manages partitioning of input dataset into blocks and on which node it has to store. Lastly, there are two core components of Hadoop: HDFS layer and MapReduce layer. The MapReduce layer read from and write into HDFS storage and processes data in parallel.

An important characteristic of Hadoop is the partitioning of data and computation across many (thousands) of hosts, and the execution of application computations in parallel close to their data. A Hadoop cluster scales computation capacity, storage capacity and I/O bandwidth by simply adding commodity servers. Hadoop clusters at Yahoo! span 40,000 servers, and store 40 petabytes of application data, with the largest cluster

Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a Parallel and distributed computing environment. It makes Use of the commodity hardware Hadoop is Highly Scalable and Fault Tolerant. Hadoop runs in cluster and eliminates the use of a Super computer. Hadoop is the widely used big data processing engine with a simple master slave setup. Big Data in most companies are processed by Hadoop by submitting the jobs to Master. The Master distributes the job to its cluster and process map and reduce tasks sequencially.But nowdays the growing data need and the and competition between Service Providers leads to the increased submission of jobs to the Master. This Concurrent job submission on Hadoop forces us to do Scheduling on Hadoop Cluster so that the response time will be acceptable for each job.

Information and Communication: This focuses on the “nature and quality” of information that is needed in order to effectively control the systems used to develop such information and reports used to communicate effectively.

The internet has changed the world like nothing before it. It has changed communications and computer technologies, and allowed other technologies to come along. The invention of the telegraph, telephone, radio, and the computer in the past brought about the invention of the internet. Internet is one of the most successful commitments to research and development of information capabilities.

Every organization has many projects, and you rely heavily on technology to solve your business needs. You have probably heard to focus on a project that gives you the big bang for your buck. For Hadoop, Identify identify a small project with an immediate need for Hadoop. Too many times I have witnessed projects fail in companies due to the level of complexity, lack of resources, and high expenses. By sSelecting a small project to get started which allows the IT and business staffs to become familiar with the interworking of this emerging technology. The beauty of Hadoop is that it allows you to start small and add nodes as you go.

Overview: This section describes the purpose of this research, the rationales for undertaking it and the background knowledge that is relevant to this research. It provides the research background that describes the polemic in the Database Management Systems (DBMS); research question in regards of performance of MySQL (non cluster) and Hadoop; the research aim; the research objectives; and the research outline.

Over the years it has become very essential to process large amounts of data with high precision and speed. This large amounts of data that can no more be processed using the Traditional Systems is called Big Data. Hadoop, a Linux based tools framework addresses three main problems faced when processing Big Data which the Traditional Systems cannot. The first problem is the speed of the data flow, the second is the size of the data and the last one is the format of data. Hadoop divides the data and computation into smaller pieces, sends it to different computers, then gathers the results to combine them and sends it to the application. This is done using Map Reduce and HDFS i.e., Hadoop Distributed File System. The data node and the name node part of the architecture fall under HDFS.

Now that the general idea of open web standards is understood, another question to be asked is what are the benefits of this? Well there are several answers to that question. The most common would be cost; mainly that one could save on cost. If one compares the web standards to older style websites it can save cost by

Big data has become enduring as cost effective approaches have emerged to five V’s in Big Data, the five V’s are: high Volume, high Velocity, high Variety, Veracity and Value of information. Within this data lie valuable patterns and information previously hidden because of the amount of work required extract them. In the era of technology the commodity hardware, cloud architechers and open source software bring Big data processing into the reach of the less well resourced. Big data processing is the eminently feasible even the small garage startups, who can cheaply rent server time in the cloud. The frame work to process and analyze stored Big data is named Hadoop. HDFS in Hadoop is used to store the data and Map Reduce is the tool to process the data. Hadoop ecosystem (including Pig, Hive, Mahout, and Hadoop), stream mining, complex-event processing, and NoSQL databases are enabling the analysis of large-scale, heterogeneous datasets at unprecedented scales and speeds. These technologies are transforming security analytics by facilitating the storage, maintenance, and analysis of security information. For instance, the WINE platform [1] and Bot-Cloud [2] allow the use of Map Reduce to efficiently process data for security analysis. Earlier Security Information and Event Management (SIEM)[3] tools were not developed

The IPv4 has run out of addresses due to the rapid growth of number of devices connected to internet every year. Thus, IPv6 is in needed. IPv6 uses 128 bit for providing space for addresses whereas IPV4 uses 32 bit addressing which results in IPv6 having a very large increase in the availability of IP addresses and creating a lot of advantages(Reddy et al., 2012).But the advantage of IPv6 over IPv4 is not limited to this point. There are many other points that prove that IPv6 has advantages over IPv4. Some of them are as follows:

From the very beginning the internet was considered to be an emerging ideal and an emerging technology. According to internetsociet.org “the Internet has revolutionized the computer and communications world like nothing before. The invention of the telegraph, telephone, radio, and computer set the stage for this unprecedented integration of capabilities. The Internet is at once a world-wide broadcasting capability, a mechanism for information dissemination, and a medium for collaboration and interaction between individuals and their computers without regard for geographic location”. The internet got its start in 1960s-1970s through the invention done by the government of the United States to be used as a weapon in the Cold War. Over the

The Internet's evolution and growth have been rapid. Even though its beginnings date back to 1960s, the Internet as we know it has been around for some 20 years. The Internet really took off with the advent of the World Wide Web and first Web browsers in the early 1990s. Yet, to many of us, especially to the young people under 25, it seems like it's always been there. Most of them can't imagine the world without Internet and social networks. I mean, how did the people do their homework before Wikipedia?!