Wait a second!
More handpicked essays just for you.
More handpicked essays just for you.
Impact of social media on organization
Impact of social media on organization
Don’t take our word for it - see why 10 million students trust us with their essay needs.
Recommended: Impact of social media on organization
Network Management in Big Data
In day today world social media and social networking has received much attention from every people, like almost everyone has a Facebook account. This is where huge amount of data is being processed every day, in fact every second where Social networks accounts for large amount of consumer "big data". The average global Internet user spends two and a half hours daily on social media, in this scenario just consider how much data is being generated every minute by every user. The leading social networking sites are handling this big data in efficient way, when it reaches a comparison stage there's no beating Facebook in driving traffic to publishers. According to the data form US news the world's largest social network directed 15.4% of traffic in the history ever. Twitter is processing 143,199 tweets per second universally. Facebook's "like" button is pushed 2.7 billion times every single day.
Stats of Social Media Traffic
All this data created and handling process leads to huge amount of network traffic and questions every network managers “How to Manage?”, this leads us towards the concept of “FlowComb”.
FLOWCOMB
FlowComb is a network management framework that helps Big Data processing applications, such as Hadoop. It helps those applications in achieving high utilization and low data processing times and also it predicts application network transfers. This is achieved by a centralized decision engine collects data movement information from agents and schedules upcoming flows on paths such that the network does not become congested. Network transfers and software defined networking are detected using domain Knowledge to update the network paths to support these transfers without creating congestion...
... middle of paper ...
...ocessing.
DESIGN
FlowComb improves job processing times and prevents network congestion in Hadoop MapReduce clusters by predicting network transfers and scheduling them dynamically on paths with sufficient available bandwidth.
FlowComb consists of three modules:
• Flow prediction,
• Flow scheduling
• Flow control.
Flow Prediction
FlowComb detects data transfers between nodes in a Hadoop cluster using domain knowledge about the interaction between Hadoop components.
Flow Scheduling
The scheduler receives periodically a list of current or pending data transfers (i.e., source and destination IPs and volume), detects if any of them creates congestion on their default path and if it does, schedules them on a new path.
Flow Control
To exploit the full potential of FlowComb, the switches in the network must be programmable from a centralized controller.
In this lab, we used Transmission Control Protocol (TCP) which is a connection oriented protocol, to demonstrate congestion control algorithms. As the name itself describes, these algorithms are used to avoid network congestion. The algorithms were implemented in three different scenarios i.e. No Drop Scenario, Drop_Fast Scenario and Drop_NoFast Scenario.
Facebook is the current leader in the trend of online segregation of face to face interaction between us and others. 84 million users are registered Facebook enablers. In 2010 Facebook generated $3.7 billion in revenue. Facebook has earned the title of being the first website to obtain 1 trillion page views in a month. Users are estimated to project 2.7 billion likes and comments every day, in the first three months of 2011.
Netflix consumes about 29.7% of peak downstream traffic because of its online video streaming service. (Adhikari, et al., 2012). The network architecture of Netflix should be well organized to support the features of high availability and scalability. Netflix previously had its own data center to host the services and functions required for efficient video streaming availability to its customers. Currently, Netflix has adopted cloud techn...
Data mining techniques discovers the novel, valid, frequent pattern from the large data set. The problems of data mining range from association rule mining, classification to feature extraction and others. Now in the era of internet, the data generated can be measured in terabytes or petabytes. This large amount of data contain huge amount of hidden information that can be useful to many businesses. On this account, there is requirement of efficient and cost-effective approaches and techniques of data mining that can handle this large scale data. The cloud computing provide the environments that are suitable for the tasks of large data mining. The cloud data mining has applications in various domains of biology, banking, pharmacy, chemoinformatics, marketing and many more.
The requirement of end-to-end congestion control,and requirement of router mechanisms in network to identify and avoid unresponsive and high bandwidth best effort flows in times of congestion.
Qiang Duan; Yuhong Yan; Vasilakos, A.V., "A Survey on Service-Oriented Network Virtualization Toward Convergence of Networking and Cloud Computing," Network and Service Management, IEEE Transactions on , vol.9, no.4, pp.373,392, December 2012
Big data originated with web search companies that encountered problems with querying large amounts of both structured and unstructured data. With regard to its background, “big data came into being when web search companies developed ways to perform distributed computing on large data sets on computer clusters” Floyer (2014: 1). Big data then spread to enterprises due to their adoption of developing, processing and dissemination of data.
Computers in technological development demand more efficient networking. In a very short period it has changed the way we have looked at things since centuries. It is one industry that is going to shape our future for centuries to come Coming from a background of Electronics and Communication Engineering, I have developed an interest to probe into the area of Networking and Computer Networks. Hence I wish to do Masters in Computer Science (CS) as my major.
Social media has become a major epidemic in today’s society. According to millions of people have signed up on social media websites, allowing their basic information to be shared with the world wide web. Two of the biggest social media websites today are Facebook and Twitter. The new generation tends to use Twitter over Facebook, the older generation prefer Facebook over Twitter. Though Facebook and Twitter serve the same purpose and have many similarities, they both differ in many ways.
Nowadays, we are living in the “ technology world”, digital’s century, science and technology are being devolopped like a rain-storm, people try their best effect to serve for human’s infiniti demand. Internet in general and social network in particular are exceedingly funtional tools. Indeed, with over 1.3 billion active users in June,2014 ( Wikipedia), there is no suprise that Facebook has been becoming a leading social network in the world, “Facebook was not originally created to be a company. It was built to accomplish a social mission - to make the world more open and connected” – CEO of Facebook: Mark Zuckerberg (google). Facebook truthly brought many useful; however, it is still “ a double-edged sword”.
Networking is another way that advances in computer engineering and software has paved a way for the advancement of communication, industry, and our lives in general through technological advancements. Just as the utilization of fire and carving of the wheel gave us advantages over the perils of life, the networking of computers has brought an unreachable far off world closer to each and every one of us. First and foremost we are now able to nearly instantaneously share information with an unreachable world. The engineering that made this possible began not on some other planet, or from the depths of a holy shrine. But from the ingenuity of a partnership of companies that sought to find a reasonable (and soon profitable) solution to the proprietary incompatibility of emerging information system networks.
Social media is becoming the most important and influential technological advancement in our country since the internet was created in the 1960s. For the longest time people were only limited to e-mails to make communication to one another and there were no large scale social media sites available. However, the internet started taking off in the early 2000s as new generations started bringing to the table new and more advanced ideas. Facebook was invented in 2004, where people were able to connect with whoever they wanted throughout the world to communicate and be able to share anything. On their
Forbes estimated that in 2011, Facebook and its founder Mark Zuckerberg were worth an estimated 50 billion dollars as a result of its growing popularity. It went from a social network just for Harvard Student to a worldwide phenomenon. Twitter as well has famous celebrities and personalities who are followed by millions. Lady Gaga, Justin Bieber and Katy Perry are the top 3 most followed people on Twitter, with over 14 million people following them and updated on their every single move. Besides the elite list of celebrities and famous companies such as Google or The New York Times using social media sites as an outlet to gain customers, one of the main reasons it is so successful is its worldwide and global appeal. People from first and third world countries are aware of it, and statistics show that one in every nine people on Earth is on Facebook, and Twitter is adding up to 500,000 users each day. Search engine giant Google, perhaps the most famous name on the internet has started their own social networking experiment, Google+, which experts have predicted will also become a powerhouse.
System design in a data center network provides the tools for addressing the challenges that occur with expansion of data center infrastructure. This includes support for the rapid growth of applications and their data and storage bandwidth, managing and modifying data storage requirements, optimize server-processing resources and access information
The TCP/IP is the most important internet operation protocol in the world. While IP protocol performs the mass of the functions which is needed for the internet to work. It does not have many capabilities which are essential and needed by applications. In TCP/IP model these tasks are performed by a pair of protocols that operate at the transport layer. The Transmission Control Protocol (TCP) and the User Datagram Protocol (UDP). These two protocols are vital when it comes to delivering and managing the communication of numerous applications. To pass on data streams to the proper applications the Transport layer must identify the target application. First, to be able to attain this, Transport layer assigns an application an identifier. In the TCP/IP model call this identifier a port number. Every individual software process needing to access the network is assigned a un...