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
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Schedule computation or schedule communication helps to optimize utilization and keep running time low. Several works propose to improve job scheduling by preserving data locality maintaining fair allocation among multiple resource types or discarding time-consuming tasks. Even with optimal computation scheduling, the cluster network can still become a blockage. The optimization of network transfers can be done by improving the flow bandwidth allocation or by dynamically changing paths in response to demand. These approaches need accurate and timely application demand information, obtained either from the application itself through instrumentation, which is quick and accurate but intrusive, or from the network through monitoring , which does not require application involvement, but can be expensive, slow, and detects changes in demand only after they have occurred.
FlowComb also uses MapReduce framework to influence the design of the system. MapReduce provides a divide and conquer data processing model, where large workloads are split into smaller tasks, each processed by a single server in a cluster (the map phase). The results of each task are sent over the cluster network (the shuffle phase) and merged to obtain the final result (the reduce phase). The network footprint of a MapReduce job consists pre dominantly of traffic sent during the shuffle
Social media, Facebook specifically, has become one of the most successful forms of websites on the Internet. According to Facebook Company statistics (Info, 2016) there are over 1.65 billion monthly active users as of March 31, 2016. Additionally there are 1.09 billion daily active users for
Technology, especially social networking, has formed a huge part in society’s daily lives for the last several years. Facebook, one of the major social media platforms, as stated by Mark Hall in his article Facebook American Company, has become the largest social network with more than 1 billion users across the nations, and most of these users fall into the
Facebook, being the most popular, has over 24 million active users per day, which is 37.5% of the population. The beauty of social media is that users have an environment where they can share posts, photos, videos, and even music to people around the world instantly. Social media is evolving
In this day and age, social media has become an integral part of our lives. It has created a platform for people to share information instantly and communicate with people all around the world. Facebook is the most outstanding example of successful social media network. According to the first quarter 2015 earnings announcement by Facebook, the site has achieved 1.44 billion active users per month, and 65% of which are daily active users. Other social networking sites such as Twitter, Instagram and LinkedIn are also a powerful means of communication. With such a large audience, social networking sites provide ample opportunities to acquire information, network, and connect with friends.
In a fast paced, business ordinated technological world the overall welfare of a company is tied to the success or failure to make the tough decisions. On one instance a company’s CEO might be able to make the choices based on experience, advice, or simple gut instinct. However, this is not the only skill one needs. There is a great deal of information to be found in being able to see investments in data and analytics. These decisions are based off of big data. Big data is a catch-phrase, used to describe a massive volume of both structured and unstructured data that is too large to process using traditional database and software techniques. The volume of data is in most cases is too big, moves too fast or it exceed the processing capacity the company has. Despite these potential drawbacks, big data contains the potential to help companies by improving operations and making faster, more intelligent decisions. This can be broken into three key parts, knowledge, data, and information.
According to Forbes, there are about 1 billion social media accounts all over the world, these accounts makes almost all of the countries of the world connected with each other.Social media is a very common in today’s modern world, social media is considered to be one of humanity’s greatest achievements and accomplishments. Never before humans were connected to each other as in today’s world. and almost everybody has a Facebook account, there are about 500 million Facebook accounts. Facebook allow its users to chat with each other, to see each other’s pictures, and to comment on any post. Which is very useful in the business and marketing world.
Parallel programming, the utilisation of many small tasks to complete a larger one, has become far more prevalent in recent times as problems call for systems with higher performance, faster turnover times, easy access, and lower costs. While this has previously been cost-prohibitive, given that one would have had to purchase a large number of physical machines to work on, the development of cloud computing systems has largely answered this call, providing resources and computing power as a service to users, rather than a product. The addition of hardware virtualisation has further increased the availability of massively-parallel collections of computers as flexible networked platforms for computing large-scale problems.
To figure out the future of Facebook we need to dive into the past Internet, the fast growth and even faster decline of earlier social networks like Myspace can show us what we should be looking for. It was only May of 2009 when Facebook surpassed Myspace with nearly 70 million users, a number dwarfed by current “populations”, but was newsworthy at the time. Every social network needs one thing, to be cool. The glitches or unused features can be overlooked, but if something’s cool it will gain a huge following. This reason was responsible for Myspace’s success and directly related to its demise.
Due to Facebook, Twitter, Instagram and a variety of other social networking sites and apps, millions of online users can connect and share their lives with each other. However, in a complex network where millions of people can create and post their daily lives, the collection and analysis of personal information by online social networking sites has been controversial due to its potential to weaken individual privacy. The online platforms are owned by businesses that have the goal to optimize performance for users but also can turn the masses of users into monetary value by data mining. Global multimedia networks and the advertising industry have become interested in the information about their online consumers due to the fact that people use the Internet on a daily basis for multiple reasons and produce significant amounts of usable data for strategic marketing. Revenue for social network sites is acquired from various companies who are eager to pay to advertise and market their own respective company. There is a great challenge that users face on social media as they try to manage their privacy against the power of the social networks companies that can affect their information and behavior. Popular social network sites—especially Facebook—have created impressive technological ways for many to be connected. However, the potential for social network sites to gather and utilize personal and private data from their users makes it a risky and unjust action for human
provisioning, pay-as-you-go model making it reliable to run applications on the cloud. On the cloud environment, the running scientific applications are modeled as a workflow graph whereon completing one task, beginning of another task takes place which results in the formation of a Directed Acyclic Graph (DAG). One of the key
5.2.1 Facebook business model .................................................................................. 61 5.2.2 Myspace business model .................................................................................... 70 5.2.3 Business models comparison............................................................................. 76 5.3 Performance Measurement ....................................................................................... 82 5.3.1 User activity and engagement metric ................................................................ 82 5.3.2 User geo-socio-demographic metric ................................................................. 83 5.3.3 Social media content metric ............................................................................... 85 5.3.4 Business metric .................................................................................................... 88 5.4 Business Models Innovation ...................................................................................... 90 5.4.1 Potential models assessment............................................................................. 90 5.4.2 Identification of risks
System performance is one of the most important metrics to measure system efficiency. Organizations that need high-performance computing such as scientific ones can use cloud computing to perform their tasks faster. In the cloud there are many machines works together in parallel to provide high processing speed. Now, most of organizations use only 15 percent of their machines capacity. Moreover, cloud computing provides services for data-intensive applications such as data mining. Salesforce.com which provides cloud CRM applications says that the performance is faster five times comparing to traditional cline-server infrastructure.
According to Pew Research, 95% of teens are Internet users with an astonishing 85% using Social Media. Social Media is defined as “websites and applications that enable users to create and share content or to participate in social networking.” Social media is a huge platform for cultural revolutions and controversies. There is a large amount of potential issues with this revolution including the possibility of cyberbullying as well as the depression that can be developed by only seeing the best part of everyone’s daily life. This creates a false image that everyone has a perfect life that users believe is impossible to attain. They, in turn, view their life as dull or not as exciting as others simply because they cannot go on their summer break to swim with dolphins or skydive, because they are not committing to a college on a full-ride for Football, because they don’t have that seemingly perfect relationship with their parents or siblings. On the other side of the spectrum, Social Media can be used for many great causes such as activism, it can be used to stay in touch with old friends, and it can be used to encourage others or bring to light issues that no one would have heard about it they were not Facebook friends with Joe Schmo. Social Media is a trade-off that western culture, and increasingly the world, must learn to deal with or restrict. Social Media is dangerous to dictators, it is helpful to helping hands, and it is hurtful to those
Distributed computing is a technique where computing tasks are processed by a collection of networked computers and therefore can be seen a cluster of computers Grid computing creates a fast virtual computer from a network of computers by using their idle cycles.Even though grid computing is an important successor to distributed computing, the computing environments are essentially different. For distributed computing, resources are homogeneous and are reserved, leading to guaranteed processing capacity. On the other hand, grid environments are
Today’s online services such are social networking, web search, etc. are based on massive working sets, real-time constraint and high level of parallelism. To simulate real-world online services in the field of cloud and data-centric computing Cloud Suite [11] is a widely used benchmark. It covers a wide range of application categories in today’s data centre i.e. media streaming, data serving, etc. Cloud Suite provides an effortless way to deploy benchmark into public and private cloud system using Docker containers. It is also integrated with Google Perfkit Benchmark.