Presenter: Hamed Vahdat-Nejad
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1 Hussein Shirvani Pervasive and Cloud Computing Lab University of Birjand, Birjand, Iran Hamed Vahdat-Nejad Pervasive and Cloud Computing Lab University of Birjand, Birjand, Iran Presenter: Hamed Vahdat-Nejad Fall 2014 PerCAM 14 1 of 17
2 Outline Introduction Problem Statement Proposed Approach Implementation Evaluation Results of Scenario A Results of Scenario B Conclusion References PerCAM 14 2 of 17
3 Introduction Cloud Computing: One of the advanced topics in Computer Science has numerous impact in industry Provide on-demand services Three major models of Cloud: Infrastructure as a Service (IaaS) Platform as a Service (PaaS) Software as a Service (SaaS) Different Clouds: Private Public Hybrid PerCAM 14 3 of 17
4 Introduction Our approach is in Storage as a Service domain Public Cloud Example PerCAM 14 4 of 17
5 Increase Boost resources Boost resources Problem Statement User Yields Using Efficient Approach to Store Data in Cloud Yields Cloud Cloud PerCAM 14 5 of 17
6 Proposed Approach Applicable to any text files.xxx.pdf.doc.docx Single file Return Replace Attach Each user with original file Each user with intermediate file User Request PerCAM 14 Cloud 6 of 17
7 Proposed ApproachSave in advance Extract procedure Bring the original file for user Original File ABCDEFGHIJKLMNO abcdefghijklmnopqrst ABCDEFGHIJKLMNO abcdefghijklmnopqrst User highlight some parts of document Send the edited file to the Cloud for extracting formatting data Get positon of highlighted words Save the spreadsheet document in user account Save the formatting data in a spreadsheet document User account in cloud PerCAM 14 7 of 17
8 Attach Proposed ApproachSave in advance Attach procedure Original File ABCDEFGHIJKLMNO abcdefghijklmnopqrst ABCDEFGHIJKLMNO abcdefghijklmnopqrst User account in cloud Request to access the document What Cloud does! Text document with formatting data will appear to the user Open the spreadsheet and original document Applying the spreadsheet to original document PerCAM 14 8 of 17
9 Implementation Implementing required application using Microsoft C# TM Microsoft C# TM has various libraries for manipulating Microsoft Office TM family file formats Choosing Microsoft Word document as Text document Choosing Microsoft Excel document as Spreadsheet document PerCAM 14 9 of 17
10 Evaluation Traditional Approach: 50 users save a common file with 2.5MB size in their account Proposed Approach: 50 users access a common document file with 2.5MB size and Cloud server save an intermediate file for each user in his/her account Scenario A: the original document will be highlighted in a normal way Scenario B: the entire of the original document will be highlighted PerCAM of 17
11 Results of Scenario A (Average-Case) Traditional Approach Proposed Approach Original file size Total file size for 50 users Intermediate file size Total file size for 50 users 2509 KB KB 22 KB 3609 KB Table 1: Comparison of Traditional Approach and Proposed Approach in Average - Case PerCAM of 17
12 Results of Scenario B (Worst-Case) Traditional Approach Proposed Approach Original file size Total file size for 50 users Intermediate file size Total file size for 50 users 2509 KB KB 440KB 24509KB Table 2: Comparison of Traditional Approach and Proposed Approach in Worst - Case PerCAM of 17
13 File Size (KB) File Size (KB) Evaluation Scenario A (Average Case) Scenario B (Worst Case) KB KB KB KB Traditional Approach Proposed Approach Traditional Approach Proposed Approach Traditional Approach Proposed Approach Traditional Approach Proposed Approach PerCAM of 17
14 Evaluation We define efficiency as follows: Efficiency = 1 - (PA Result / TA Result) Original file size Efficiency in average-case Efficiency in worst-case 2509KB Table 3: Result of Comparison in terms of Efficiency PerCAM of 17
15 Conclusion Using Efficient Approach to Store Data in Cloud Yields Saving significant amount of storage PerCAM of 17
16 References [1] Q. Zhang, L. Cheng, R. Boutaba, "Cloud Computing: state-of-the-art and research challenges", Journal of Internet Services and Applications, Vol. 1, pp. 7-18, May 2010 [2] Microsoft OneDrive, 19 April 2014 [3] Cloud computing on Wikipedia, en.wikipedia.org/wiki/cloud computing, 25 April 2014 [4] W. Voorsluys, J. Broberg, R. Buyya"Introduction to Cloud Computing". In R. Buyya, J. Broberg, A.Goscinski. Cloud Computing: Principles and Paradigms. New York, USA: Wiley Press. pp ISBN [5] A. Berl et al., "Energy-Efficient Cloud Computing", the Computer Journal, Vol. 53, pp , August 2009 [6] A. Beloglazov, J. Abawajy, R. Buyya "Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing", Future Generation Computer Systems, Elsevier, Vol. 28, pp , May 2012 [7] R. Buyya, A. Beloglazov, J. Abawajy "Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges", Future Generation Computer Systems, Vol. 28, pp , May 2012 [8] C. Vecchiola, S. Pandey, and R. Buyya "High-Performance Cloud Computing: A View of Scientific Applications", in: Proceedings of the th International Symposium on Pervasive Systems, Algorithms, and Networks, ACM, pp PerCAM of 17
17 Thank You PerCAM of 17
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