Adopting MapReduce and Hummingbird for Information Retrieval

Adopting MapReduce and Hummingbird for Information Retrieval Adopting MapReduce and Hummingbird for Information Retrieval in dedicated cloud Environment Dr. Piyush Gupta Chandelkar Kashinath K. Abstract: Data collected in section 3 indicated the number of active internet users across the globe. The collected chunks of information termed as Big Data not only utilizes physical resources into the network, but also leads to increase in human and financial resources. Cloud computing being a technology with IaaS (Infrastructure as a Service), PaaS (Platform as a Service) and SaaS (Software as a Service) provides virtual resources on pay per use policy. MapReduce being widely used Algorithm is used in line with Hummingbird Search engine for information retrieval. Keywords: MapReduce, SaaS, IaaS, PaaS, Hummingbird, Big data 1. Introduction One of the papers published in International conference at Jaipur, entitled â€Å"The Need and Impact of Hummingbird Algorithm on Cloud based Content Management System† [21] elaborates on existence of humming bird algorithm on 15th birthday of Google. In existence with previous Google algorithms like panda 3.5, page rank and penguin, hummingbird is a new replacement of full engine instead of repairing individual modules. This has affected 90% of data across the globe. Migrating MapReduce algorithm on cloud environment using Hadoop, not only improves performance due to cloud features but also the efficiency is increased with cost minimization. 2. Problem Fig-1: Data center Source: IBM Enterprise System Fig-1 gives a snapshot of engineers working at data centers who manages information from diverse platforms and resources. Managing hardware and Network with virtualized resources needs dedicated young talent. When it comes to end user, he gets an average service as a result of improper management of data centers. MapReduce is one of the best known algorithms used for IR (Information Retrieval) in addition with existing algorithms as explained in section 7. Due to exponential increase in smart devices that supports voice based search, definitely needs fast and efficient searching algorithm for information retrieval. The voice based search assists to make smart decisions in real time applications like place identification, weather forecast and medical assistance using android based applications. 3. Why problem is important Fig-2: Global Internet users Source: W3 Foundation Looking at data increase across the globe as shown in Fig-2 (data collected till July 1, 2014) [19], the pilled content in repositories is increasing worldwide. It requires huge amount of hardware resources running for years to extract information and knowledge for decision making. The big challenge in big data is ever increasing content utilizing human resource and cost to create chunks in available networks across the globe, which needs attention. 4. It is an unsolved problem From the following relevant reviewed literature (table-1), it gives a blueprint that the problem has still remained unsolved. The authors have either focused on cloud components [6] [11] or had used traditional Google Components during the analysis. Since Hummingbird Algorithm [10] is not keyword based the searching criteria have changed. When combined with MapReduce [1] [3] [15] in cloud environment shall definitely yield efficient results with minimum cost and resources. Table-1: Existing Systems compared 5. Here is my idea Fig-3: Proposed Information Retrieval System Being cloud computing [4] [6] is upcoming Technology as discussed in section -7.2, is a good source of virtualized resources that helps to manage content on diverse platform irrespective of geographical boundaries. An instance of Hadoop that supports MapReduce Algorithm (elaborated in sec-7) is migrated in cloud environment using SaaS (Software as a Service) to whom input is diverted for processing. Hummingbird (more in section-7) Algorithm is a brand new search engine designed to understand meaning from acquired query instead of word, is imparted to collect output from MapReduce instance. The collected output on Amazon S3 cluster is efficiently and effectively delivered to end user based on voice based request, in addition to traditional systems for efficient decision making in the field of medicine, scientific research and so on. 6. My idea works To confirm the working of proposed idea, a hosted instance of Hadoop was used that supports MapReduce Algorithm and S3 data cluster from Amazon. It also has Qubole [20] managed database to test the instance in cloud environment. Qubole has an API (Application programming Interface) that gives overview of running instances through dashboard. A user shall give input as a database or can manually select file in addition to query wizard. Once the input is given to MapReduce cluster, data analysis shall be done by using hive query in addition to pig script. Following results were collected by using existing database. Fig-4: Cloud based Hadoop Instance Source: Qubole Figure -4 shows a dashboard running Hadoop instance, in which 2 queries have finished data analysis. It communicates at runtime with Amazon S3 bucket where data is stored for input. The mapper [1][3][15] scans the data files from the source and extends the output to reducer. The reducer further processes data and is sent back to S3 cluster for further processing. This information shall be accessed by end user through web access and with the support of Hummingbird Algorithm. Fig-5: Running Hadoop Cluster Source: Qubole Fig-5 shows a single running Hadoop Instance in cloud environment. Qubole supports metrics of instances running simultaneously that enhances performance their by increasing efficiency. The graph in the above figure indicates time spent to complete single job. Every task is monitored by master DNS having unique ID. To each DNS a list of queries shall be given as input for further analysis. Fig-6 shows process getting started on Hadoop Cluster that combines both map and Reduce session together. The jobs performed uses batch processing system for single instance. Running multiple instances on different clusters in cloud environment makes process more efficient without investing much is physical infrastructure. As a result of which end user shall enjoy the benefits of information retrieval with minimum time, cost and physical resources. As cloud supports pay per use policies resource allocation as per requirements becomes easier. Fig-6: Hadoop Master DNS Source: Qubole Detail explanation about concepts existing algorithms used for information retrieval BFS(Bredth First Search) Redundant BFS. ISN (Intelligent Search Machine) Directed BFS Random walker search Randomized Gossiping Centralized approach Distributed Information retrieval Searching Object identifier Following explanations shall help to elaborate more about specific areas. 7.2 Cloud Architecture Fig-7: Cloud Architecture Source: NIST Cloud is an upcoming technology that supports IaaS (Infrastructure as a Service) PaaS (Platform as a Service) and SaaS (Software as a Service) as shown in Fig-7. For any hosted instance in cloud, open source software is used as a server that supports virtualization and Grid technology. Virtual private network is used in addition to broadband network13] [16]. As a service provider SLA (Service level Agreement) is signed between an organization and service provider. Distributed computing is one of the known components as data transferred across the network requires secure, authentic and efficient service in a given network. The type of cloud includes public, private, community and hybrid cloud [2]. Private clouds are hosted in dedicated environment having firewall and other authentication features. Updating existing system and taking backup remains responsibility of the owner. Hybrid clouds may be hosted in private environment in synchronization with public resources. The end user held responsible for resources used in public cloud with minimum security. 7.3 MapReduce Algorithm Fig-8: MapReduce Algorithm Source: Jimmy Lin, University of Maryland The algorithm takes data input as a file or database in the form of query. A list of mapper instances are activated which travels across the database in search of information. The jobs or data values are shuffled based on keys and aggregated as an input to reducers. These reducers understand the key inputs and reshuffle to get unique relevant information for further processing as shown in Fig-8[1]. 7.4 Hummingbird Algorithm Hummingbird Algorithm [10] [21] is the latest birthday gift from Google. Panda 3.5 and penguin were basically filters applied to searching criteria in the form of web pages and hyperlink. The traditional search engine extracts information based on keywords. Considering a sentence â€Å"How many times does hummingbird flap their wings per second?† the traditional search engine being keyword based tries to extract word like times, flap and per second. Based on collected keywords the web pages are searched in database. The collected content undergoes filtering from panda and penguin. Resultant results are displayed to user in the form of hyperlinks. Being hummingbird is innovation in the field of search and meant for voice based information retrieval, it accepts query as a single sentence instead of keywords. The engine tries to understand meaning and creates knowledge base from provided information or query. Fig-9: Hummingbird Search Source: Google.com In fig-9, the query asked to Google was where am i? Using voice search. The search engine had found my current location based on IP address or physical location and displayed map for the same. 8. Conclusion and future work The paper is continuation to hummingbird Algorithm [21] that supports MapReduce Algorithm with Hummingbird search engine in dedicated cloud environment. Qubole a hosted Hadoop instance is used to confirm working of MapReduce in support with Amazon S3 for data during. A single hive query instance on single DNS is tested which shall be extended for testing multiple instances of hive and pig script simultaneously as future work. References [1] Rahul Prasad Kanu , Shabeera T P , S D Madhu Kumar 2014- Dynamic Cluster Configuration Algorithm in MapReduce Cloud, International Journal of Computer Science and Information Technologies, Vol. 5 (3), 2014, 4028-4033. [2] Mr. Kulkarni N. N., Dr. Pawar V. P., Dr. K.K Deshmukh -2014 Evaluation of Information Retrieval in Cloud computing based services, Asian Journal of Management Sciences 02 (03 (Special Issue)) [3] Brian Hellig, Stephen turner, rich collier, long zheng-2014- beyond map educe: the next generation of big data analytics HAMR.Eti.com. [4] Ismail Hmeidi, Maryan Yatim, Ala’ Ibrahim, Mai Abujazouh, 2014 Survey of Cloud Computing Web Services for Healthcare Information Retrieval Systems , International conference on Computing Technology and Information Management, Dubai, UAE. [5] Anil Radhakrishnan and Kiran kalmadi -2013- Big Data Medical engine in the cloud, Infosys Lab Briefing Vol-11, No-1. [6] Dr. Sanjay Mishra, Dr. Arun Tiwari 2013 A Novel Technique for Information Retrieval Based on Cloud Computing, international Journal of information technology. [7] Yu Mon Zaw, Nay Min Tun 2013-Web Services Based Information Retrieval Agent System for Cloud Computing. International Journal of Computer Applications Technology and Research Volume 2– Issue 1, 67-71. [8] Gautam Vemuganti 2013- Metadata Management in Big data, Infosys lab Briefing. [9] Aaditya Prakash 2013-Natured Inspired visualization of unstructured big data, Infosys lab briefing, Vol-11, No-1. [10] Xinxin Fan, Guang Gong,Honggang Hu-2011- Remedying the Hummingbird Cryptographic Algorithm, IEEE. [11] Mosashi Inoue 2009- image retrieval: research and use in the information retrieval, National Institute of Informatics. [12] Jeff Dean Google Fellow 2009- Challenges in Building Large-Scale Information Retrieval Systems. [13] Tsungnan Lin, Pochiang Lin, Hsinping Wang,Chiahung Chen-2009-Dynamic Search Algorithm in Unstructured Peer-to-Peer Networks, IEEE. [14] William Hersh -2008 Future perspectives Ubiquitous but unfinished: grand challenges for information retrieval, Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, Oregon, USA. [15] Jeffrey Dean and Sanjay Ghemawat 2004-MapReduce: Simplified Data Processing on Large Clusters, Google.com. [16] Mehran Sahami Vibhu Mittal Shumeet Baluja Henry Rowley 2003-The Happy Searcher: Challenges in Web Information Retrieval, google.com [17] James Allan 2002-Challenges in Information Retrieval and Language Modeling, Report of a Workshop held at the Center for Intelligent Information Retrieval, University of Massachusetts Amherst [18] Amit Singhal 2001- Modern Information Retrieval: A Brief Overview IEEE Computer Society Technical Committee on Data Engineering. [19] tp://www.internetlivestats.com [20] https://api.qubole.com [21] Dr. Piyush Gupta, kashinath Chandelkar 2012- The Need and Impact of Hummingbird Algorithm on Cloud based Content Management System, vol-2, issue-12, IJARCSSE journal.

What Makes an Effective Executive

Karrie Sebring BU531: Session 2 Harvard Article Review â€Å"What Makes an Effective Executive? † by Peter F. Drucker What is this article about as a whole? There is no science on how to improve effectiveness; effectiveness is a disciple and therefore can be learned by anyone. Drunker concludes that you don’t have to be a leader or possess specific personalities, strengths, values or beliefs to be an effective executive. Utilizing the following eight simple practices allows executives to be effective: Asking, â€Å"What needs to be done? † Asking, â€Å"What is right for the enterprise? † Developing action plans Taking responsibility for decisions Taking responsibility for communicating Focusing on opportunities rather than problems Running productive meetings Speaking as â€Å"We† rather than â€Å"I† The first two practices give executives the knowledge they need. The next four help them convert this knowledge into effective action. The last two ensure that the whole organization feels responsible and accountable. What are the essential points in this article? Executives need to ask what is right for the enterprise, rather than what is right for the owners, stock price, the employees or the executives. Asking this question does not guarantee the correct decision will be made; however failure to ask this question will nearly guarantee the wrong decision. Knowledge is useless until it has been translated into actions but actions need to first be planned to identify possible restraints and implications. The action plan should be a statement of intention rather than commitment and should be revised often because every success and failure creates new opportunities. The action plan needs to have a system for checking results against expectations. Lastly, the action plan has to become the basis for the executive’s time management, which is an executive’s most scarce and valuable resource. Executives need to take responsibility for communicating; executives need to share their plans, ask for feedback and indicate specifics on what information they need from their subordinates to get the job done. Good executives focus on opportunities rather than problems; they treat change as an opportunity rather than a threat. Effective executives ensure problems do not overwhelm opportunities and put their best people onopportunity tasks. Executives must make meetings productive and ensure that meetings are work sessions rather than bull sessions. A few key notes are to decide in advance what kind of meeting each session will be, end each session when the purpose has been accomplished and lastly, follow-up on each meeting. Effective executives have authority because they have the trust of the organization and therefore think of the organizations needs and opportunities before their own. Lastly, one rule stands; listen before you speak. How can you apply what you learned to business? What Makes an Effective Executive Karrie Sebring BU531: Session 2 Harvard Article Review â€Å"What Makes an Effective Executive? † by Peter F. Drucker What is this article about as a whole? There is no science on how to improve effectiveness; effectiveness is a disciple and therefore can be learned by anyone. Drunker concludes that you don’t have to be a leader or possess specific personalities, strengths, values or beliefs to be an effective executive. Utilizing the following eight simple practices allows executives to be effective: Asking, â€Å"What needs to be done? † Asking, â€Å"What is right for the enterprise? † Developing action plans Taking responsibility for decisions Taking responsibility for communicating Focusing on opportunities rather than problems Running productive meetings Speaking as â€Å"We† rather than â€Å"I† The first two practices give executives the knowledge they need. The next four help them convert this knowledge into effective action. The last two ensure that the whole organization feels responsible and accountable. What are the essential points in this article? Executives need to ask what is right for the enterprise, rather than what is right for the owners, stock price, the employees or the executives. Asking this question does not guarantee the correct decision will be made; however failure to ask this question will nearly guarantee the wrong decision. Knowledge is useless until it has been translated into actions but actions need to first be planned to identify possible restraints and implications. The action plan should be a statement of intention rather than commitment and should be revised often because every success and failure creates new opportunities. The action plan needs to have a system for checking results against expectations. Lastly, the action plan has to become the basis for the executive’s time management, which is an executive’s most scarce and valuable resource. Executives need to take responsibility for communicating; executives need to share their plans, ask for feedback and indicate specifics on what information they need from their subordinates to get the job done. Good executives focus on opportunities rather than problems; they treat change as an opportunity rather than a threat. Effective executives ensure problems do not overwhelm opportunities and put their best people onopportunity tasks. Executives must make meetings productive and ensure that meetings are work sessions rather than bull sessions. A few key notes are to decide in advance what kind of meeting each session will be, end each session when the purpose has been accomplished and lastly, follow-up on each meeting. Effective executives have authority because they have the trust of the organization and therefore think of the organizations needs and opportunities before their own. Lastly, one rule stands; listen before you speak. How can you apply what you learned to business?

Australia is physically and culturally unique

Australia’s multicultural attitude respects all cultures and races. Australia’s government is amazing because it was federated and democratic. Its climate varies throughout Australia because of its size. Australia is a truly fascinating continent/country/island. Its uniqueness is due to its flora with its many different plants. Its fauna and its many creatures only found in Australia. Australia’s lifestyle is also sought after because it can’t be found anywhere else. Also it landscape is almost unpredictable and also classifies Australia as a continent, country, and island. Its final asset is its development and technology, since Australia is a major contributor to medical studies and are leaders in sports technology. Now that you know briefly why Australia is unique, the rest of this report will elaborate further on them. Australia has a unique climate. It sits in many climate zones because of its large size. These zones include tropical, sub-tropical, temperate, and sub-temperate. Most of Australia has four seasons, summer, autumn, winter, and spring, in other places it is two seasons and they are the wet and dry seasons. From blistering hot temperatures in Darwin to below zero temperatures in Hobart, Australia’s climate is one of many things that make Australia unique. Next in line is Australia’s landscape. Australia has many different terrains from forests to deserts and this is also because of its large size. The edge of Australia is mostly green except for the western coast; the rest of Australia is mainly dry and arid. Australia’s shape, size, and location also make it a continent, country, and also an island. The flora in Australia is truly amazing. Australia has a wide range of flora, like bottle brushes, waratahs, and eucalyptus trees. All the plants mentioned are unique to Australia, with many more that haven’t been mentioned. These plants are also important to Australia’s fauna for habitat and food. These plants also make Australia a colourful and beautiful place. As mentioned in the above paragraph, Australian fauna is important to Australia. The creatures unique to Australia are the kangaroos, wallabies, wombats, emus, koalas, kookaburras, etc. If u look on the Australian emblem u should see two animals unique to Australia, the emu and the kangaroo. Australian lifestyle is well sought after. It is sought after because of the easy going, laid back nature of all Australians. Everyone seems to be happy and enjoying life while in America everyone is stressed and working very hard. The Australian lifestyle also involves the great outdoors. The dominant male is at the BBQ cooking shrimp and steak holding a VB while a game of cricket is going on in the background. These points make the Australian lifestyle favourable. The reason the Australian lifestyle is as it is now is because of its government. Australia originally had 6 colonies until it was federated in 1900. Since then Australia has improved and has learnt from past mistakes. The Australian government makes sure that all cultures and races are accepted as equals, which makes it a multicultural government. This brings us to the next point, multiculturalism. Australia is unique because it is one of the few countries where all cultures and races are respected for who they are and treated as equals. This makes Australia an ideal country to travel to for non-white people because it guarantees that they would be treated fairly while in this country. Australia is pretty significant when it comes to development and technology. Australia are major contributors to medical research especially in the cancer research section. Australians are also leaders in sports technology, mainly to do with rugby, cricket, and AFL. This makes Australia ideal for people interested in sports and cancer research. The following reasons above make me strongly believe that Australia is a unique country. To live in this amazing country is a privilege and should be respected because of it is a one of a kind country, and is confirmed in the above paragraphs.

Types of Scales in Social Science Research

A scale is a type of composite measure that is composed of several items that have a logical or empirical structure among them. That is, scales make use of differences in intensity among the indicators of a variable. For example, when a question has the response choices of always, sometimes, rarely, and never, this represents a scale because the answer choices are rank-ordered and have differences in intensity. Another example would be strongly agree, agree, neither agree nor disagree, disagree, strongly disagree. There are several different types of scales. We’ll look at four commonly used scales in social science research and how they are constructed. Likert Scale Likert scales are one of the most commonly used scales in social science research. They offer a simple rating system that is common to surveys of all kinds. The scale is named for the psychologist who created it,  Rensis Likert. One common use of the Likert scale is a survey that asks respondents to offer their opinion on something by stating the level to which they agree or disagree. It often looks like this: Strongly agreeAgreeNeither agree nor disagreeDisagreeStrongly disagree Within the scale, the individual items that compose it are called Likert items. To create the scale, each answer choice is assigned a score (for instance, 0-4), and the answers for several Likert items (that measure the same concept) can be added together for each individual to obtain an overall Likert score. For example, let’s say that were interested in measuring prejudice against women. One method would be to create a series of statements reflecting prejudiced ideas, each with the Likert response categories listed above. For example, some of the statements might be, Women shouldn’t be allowed to vote, or Women can’t drive as well as men. We would then assign each of the response categories a score of 0 to 4 (for example, assign a score of 0 to strongly disagree, a 1 to disagree, a 2 to neither agree or disagree, etc.). The scores for each of the statements would then be totaled for each respondent to create an overall score of prejudice. If we had five  statements and a respondent answered strongly agree to each item, his or her overall prejudice score would be 20, indicating a very high degree of prejudice against women. Bogardus Social Distance Scale The Bogardus social distance scale was created by sociologist Emory S. Bogardus as a technique for measuring the willingness of people to participate in social relations with other kinds of people. (Incidentally, Bogardus established one of the first departments of sociology on American soil at the University of Southern California in 1915.) Quite simply, the scale invites people to state the degree to which they are accepting of other groups. Let’s say we are interested in the extent to which Christians in the U.S. are willing to associate with Muslims. We might ask the following questions: Are you willing to live in the same country as Muslims?Are you willing to live in the same community as Muslims?Are you willing to live in the same neighborhood as Muslims?Are you willing to live next door to a Muslim?Are you willing to let your son or daughter marry a Muslim? The clear differences in intensity suggest a structure among the items. Presumably, if a person is willing to accept a certain association, he is willing to accept all those that precede it on the list (those with lesser intensities), though this is not necessarily the case as some critics of this scale point out. Each item on the scale is scored to reflect the level of social distance, from 1.00 as a measure of no social distance (which would apply to question 5 in the above survey), to 5.00 measuring maximize social distance in the given scale (though the level of social distance could be higher on other scales). When the ratings for each response are averaged, a lower score indicates a greater level of acceptance than does a higher score. Thurstone Scale The Thurstone scale, created by Louis Thurstone, is intended to develop a format for generating groups of indicators of a variable that have an empirical structure among them. For example, if you were studying discrimination, you would create a list of items (10, for example) and then ask respondents to assign scores of 1 to 10 to each item. In essence, respondents are ranking the items in order of the weakest indicator of discrimination all the way to the strongest indicator. Once the respondents have scored the items, the researcher examines the scores assigned to each item by all the respondents to determine which items the respondents agreed upon most. If the scale items were adequately developed and scored, the economy and effectiveness of data reduction present in the Bogardus social distance scale would appear. Semantic Differential Scale The semantic differential scale asks respondents to answer a questionnaire and choose between two opposite positions, using qualifiers to bridge the gap between them. For instance, suppose you wanted to get respondents’ opinions about a new comedy television show. Youd first decide what dimensions to measure and then find two opposite terms that represent those dimensions. For example, enjoyable and unenjoyable, funny and not funny, relatable and not relatable. You would then create a rating sheet for respondents to indicate how they feel about the television show in each dimension. Your questionnaire would look something like this:   Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Very Much  Ã‚  Ã‚  Ã‚  Ã‚  Somewhat  Ã‚  Ã‚  Ã‚  Ã‚  Neither  Ã‚  Ã‚  Ã‚  Ã‚  Somewhat  Ã‚  Ã‚  Ã‚  Ã‚  Very MuchEnjoyable  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  X  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  UnenjoyableFunny  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  X  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Not FunnyRelatable  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  X  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Unrelatable