... 10. Summary of project References Abstract The purpose of this project is to identify the impact of power and politics in Dan Mart Inc management decision in choosing information technology architecture that can provide a high availability and clustering in a business environment like Dan Mart Inc, this project will also identify the limitation power and politics, advantages and cost of implementing each one so as to have a choice of choosing from them all. But for the sake of this project the use of Oracle cooperation high availability and clustering technologies will be the target. We would be discussing different types of technologies by Oracle such as real application cluster(RAC), automatic storage management (ASM), data guard, grid infrastructure, grid control, cloud control, Flash back technology, database e-memory that will be suitable for Dan Mart Inc business environment. Brief Company Background DanMart is a high volume customer oriented business organization that require 24/7 availability of their services, they handle online sales...
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...hardware and software environment. Installation and maintenance costs were high, and compiling data for all centers was time consuming and difficult. Each night the thousands of centers would upload their data to the main server for consolidation. With the growing number of centers, there wasn’t enough time in the night to process all of the incoming data. Advance America’s system had run up against a wall. It was time for a change. Advance America decided to invest in a new system based on a grid computing architecture. They installed thin client machines to run in each center, connecting via the Web to a fault-tolerant server cluster running Oracle database software. The server cluster consists of a four-node cluster ofIBM P5 series servers, which include four processors per node for a total of 16 processors. The servers in the cluster work as a grid by sharing the work load of the entire organization equally among them. A pair of Cisco load balancers make sure that processing is distributed evenly among the servers for maximum performance. The new system includes a 2 TB storage area network (SAN) that uses an IBM disk...
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...and configuring licensing on a cluster-enabled server. These steps assume you configured the clustering on the hardware on which you intend to install the license server. A detailed procedure follows. 1. Ensure that the first node has control of the cluster resources. 2. On the first node of the cluster, start the Citrix Licensing installation from the command-line and install it on the first node to the shared cluster drive (not the quorum drive). 3. Move the resources from the active node in the cluster to the second node. 4. Install the license server on the second node to the same shared location as the first node. 5. Obtain license files that specify the cluster name of the license server as the host name. After obtaining license files, you must add them to the license server and then reread them. 6. Configure your Citrix product to use the cluster name—not the node name—of the license server cluster. Note: When a clustered license server fails over, the cluster service renames the lmgrd_debug.log to the name of the node that previously hosted the services. Then it starts the services on the new active node and creates a new lmgrd_debug.log. To install licensing on a cluster-enabled server 1. Install Java on both cluster nodes. You can find a supported version on the Citrix product CD in the Support folder. 2. Ensure that the cluster IP address, cluster name, and a shared disk are configured as cluster resources and that all the cluster resources are owned by the first...
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...When I search the logo company, there are many different price. Some logo company can only quote price from the information provider. I provide one website information with price and service. There are four different price list which is Special, Silver, Golden, Express in LogoBees.com They charge Special service for $249 with 6 different custom initial logo concepts and will ready in 5 business days and will service unlimited revision until customer is satisfied. Silver service charge for $379 with 8 initial concepts will ready in 5 business days and will service unlimited revision until satisfied. Golden service charge for $449 include Stationery Design with 8 initial concepts will ready in 5 business days and will service unlimited revision. Express service charge for $549 include Stationery Design with 8 initial concepts will ready in 2 business and will service unlimited revision until customer is satisfied. 1.Trivas Group company with a new logo with organization name in a stylized, an abstract shape or symbol is used to convey the values of your business. The contest prize is $499. Elite Business Management company wants a new logo with image or shape that is easily recognizable and used to represent your business. The contest prize is $299. RPfB Consulting company wants a new logo with image, shape, letter to recognized their business name using darker gray, white, black, red color. The contest prize is $799. MFS Insurance, Inc wants a new logo with organization name...
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...Open Journal of Social Sciences, 2014, 2, 11-18 Published Online March 2014 in SciRes. http://www.scirp.org/journal/jss http://dx.doi.org/10.4236/jss.2014.23003 Exploring Competitive Strategies of China Ceramic Tile Industrial Cluster in Global Economy Mei-Hor Lo, Dechang Han Business School, Nankai University, Tianjin, China Email: matthew@gearex.com.tw Received November 2013 Abstract In this paper, we discuss the competitive paradigm between globalization and local development in the ceramic tile industrial cluster, based on the Porter’s theory in exploring the factors of the global competitiveness. We analysis the theory of cluster and competitive theory to compare two ceramic tile clusters in different contexts for tracing the mechanism and path constructed ceramic industry international competitiveness and strategy formation. In the study, we discuss what changes come into play addressing the radical changes in world markets, both for ceramic tiles and for surrounding ceramic tile supportive industries. These issues will be discussed with amount of literature reviews through the various perspectives to explore more comprehensive insight to China ceramic tile industry. Keywords Ceramic Tile; Industry Cluster; Agglomeration; Competitive Strategy; Resource Based View 1. Introduction As the world’s largest producer, consumer and exporter of ceramic tiles, the sheer scale of China’s volumes has been driving world growth in production, consumption and exports for...
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...Cluster Computing Name Course name Instructor’s name Date of submission Cluster Computing Cluster computing was first heard in the year 1960 from the IBM, the IBM used cluster computing as the second option for connecting their large mainframe in the servers. These cluster computing was used to provide cheap ways or alternative that was considered cost effective in the commercial parallelism. Cluster is the process where computers are tightly or loosely connected and are working together thus seen as one system. The component that are in the cluster are normally interconnected using a fast or local network that is of high speed. The nodes in the network mostly computer that is used as the server normally run their own instance of the operating system. The whole idea of computer cluster started from coming together of computing development that entailed the presence of cheap microprocessor, network that had high speed and the software’s that was considered having a high performance in the distributed mode of computing. The main use of cluster is to boost the performance and the availability compared to using a single computer. The process is cheap and faster if compared to using a single computer. Computer cluster can be used in many ways to start with small corporate clusters with a minority of nodes to roughly faster mainframes example the IBM. Cluster computing has some outstanding importance...
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...FINAL REPORT DATA MINING Reported by: Nguyen Bao An – M9839920 Date: 99/06/16 Outline In this report I present my study in the Data mining course. It includes my two proposed approaches in the field of clustering, my learn lessons in class and my comment on this class. The report’s outline is as following: Part I: Proposed approaches 1. Introduction and backgrounds 2. Related works and motivation 3. Proposed approaches 4. Evaluation method 5. Conclusion Part II: Lessons learned 1. Data preprocessing 2. Frequent pattern and association rule 3. Classification and prediction 4. Clustering Part III: My own comments on this class. I. Proposed approach • An incremental subspace-based K-means clustering method for high dimensional data • Subspace based document clustering and its application in data preprocessing in Web mining 1. Introduction and background High dimensional data clustering has many applications in real world, especially in bioinformatics. Many well-known clustering algorithms often use a whole-space distance score to measure the similarity or distance between two objects, such as Euclidean distance, Cosine function... However, in fact, when the dimensionality of space or the number of objects is large, such whole-space-based pairwise similarity scores are no longer meaningful, due to the distance of each pair of object nearly the same [5]. ...
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...CLUSTERING STRATEGY IN SME DEVELOPMENT : An Integral Development Supports By: Noer Soetrisno Presented at : 2004 APEC INFORMATIZATION POLICY FORUM FOR SMALL AND MEDIUM ENTERPRISES July, 15-16, 2004 SMEs in Economic Development 1. There is no Regional or Global Consensus on SME The Coverage of SME definition are Commonly Associated With : - SMI (Manufacturing Industry) - SMI + Services (Selected) - All Sectors Except Agriculture - All Sectors Include Agriculture 2. Variable to Measure SME - No of employee (Industry) - Assets (Fixed Asset, Asset other than lands building) - Sales 3. The Role of SME in Economic Development - Contributor to Value added (Growth) : About 57% of GDP - Provider of Employment : Contribute to 99.5% of total employment - Potential Contributor to Export : Share about 16-21% of total export - Flexibility and Resilience to Shocks : continue to survive during the crisis, micro and small enterprises more resilience, but medium enterprises are not fully recovered from the crisis up to 2003 •SME Cluster Development in Indonesia - Cluster development approach has been adopted since 1970’s * Small industry zone * Export processing zone * Agglomeration of SME activities - At present exist about 9800 units of Small Industry Cluster : * 78% Low technology group * Productivity / worker : • Low technology IDR 970 Thousand (100) • Medium technology IDR 2 Million (212) • High technology IDR 8.24 Million (849) Government Policies...
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...stability of the segments. Shoppers have been segmented based on the importance they’ve given to store image. Data collected through mall intercept interviews has been used for it. Segmentation has been done by K-means clustering and fuzzy clustering methods. Membership grades give the samples’ relative position in the cluster. Findings – Various approaches to segment the market has been analysed and the advantages of fuzzy methods has been obtained. Finally the most stable segment, on the other hand the most volatile segment has been found out. Study reveals that fuzzy clustering is potentially useful to assess the stability of segments. Research limitations / implications Research findings are constrained, as the study concentrates on the behaviour of shoppers based on the influence of store images but segmenting based on demographic or lifestyle variables are not considered. However the stability of segments has been analysed for this segments. Practical implications membership grade gives a clear picture of the real market to the marketer. And it helps the marketer to visualize individual’s level of multiple preferences. Hence the marketer can develop new strategies to suit the real market. Originality/ value this research contributes to the world of marketing by analysing the validity of segmentation of market. Comparison of hard segmentation and soft segmentation is a novel thought to the field of segmentation Keywords Market segmentation, stability of segment,...
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...A COMPARITIVE STUDY OF CLUSTER ANALYSIS WITH NATURE INSPIRED ALGORITHMS A PROJECT REPORT Submitted by K.Vinodini 310126510043 I.Harshavardhan 310126510039 B.Prasanth kumar 310126510013 K.Sai Sivani 310126510042 in Partial Fulfillment of the requirements for the Award of the Degree of BACHELOR OF TECHNOLOGY in COMPUTER SCIENCE AND ENGINEERING DEPARTMENT OF COMPUTER SCIENCE AND SYSTEMS ENGINEERING Anil Neerukonda Institute of Technology and Science (ANITS) ANDHRA UNIVERSITY : VISAKHAPATNAM – 530003 APRIL 2014 ANIL NEERUKONDA INSTITUTE OF TECHNOLOGY AND SCIENCES ANDHRA UNIVERSITY : VISAKHAPATNAM-530 003 BONAFIDE CERTIFICATE Certified that this project report “A Comparative study of cluster analaysis with Nature Inspired Algorithms”is the bonafide work of “K.Vinodini, I.Harsha, B.V.PrasanthKumar, K.SaiSivani”who carried out the project work under my supervision. Signature Signature Dr S C Satapathy Dr S C Satapathy HEAD OF THE DEPARTMENT ...
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...Clusters, Innovation, and Competitiveness: New Findings and Implications for Policy Professor Michael E. Porter Institute for Strategy and Competitiveness Harvard Business School Stockholm, Sweden 22 January 2008 This presentation draws on ideas from Professor Porter’s articles and books, in particular, The Competitive Advantage of Nations (The Free Press, 1990), “The Microeconomic Foundations of Economic Development,” (with C Ketels, M Delgado) in The Global Competitiveness Report 2006, (World Economic Forum, 2005), “Clusters and the New Competitive Agenda for Companies and Governments” in On Competition (Harvard Business School Press, 1998), and the Cluster Initiative Greenbook (Ivory Tower, 2004) by C Ketels, O Solvell, and G Lindqvist. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means - electronic, mechanical, photocopying, recording, or otherwise - without the permission of the author. Additional information may be found at the website of the Institute for Strategy and Competitiveness, www.isc.hbs.edu The Changing Nature of International Competition • Falling restraints to trade and investment • Globalization of markets • Globalization of value chains • Shift from vertical integration to relying on outside suppliers, partners, and institutions • Increasing knowledge and skill intensity of competition • Nations and regions compete on becoming the most productive locations for business European...
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...CLUSTER DEVELOPMENT: THE INDIAN EXPERIENCE Prof P Bala Bhaskaran Evolution of Clusters Birds of the same feather, flock together. This must have been the dictum that brought similar enterprises together through the ages. The process of clustering of enterprises and economic activities has been happening across the globe; only the type, scale, scope and timing have been different. In the early stages the driving factors1 were • proximity to raw materials • presence of customers and markets • presence of skilled labour • presence of business development or support services The process of clustering envisages coming together and acquiring some sense of economies of scale as well as acquisition of competitive advantage. It also signified an early stage symptom of industrialization. Once the member entities in a cluster have grown big then the cluster is perhaps less relevant; when they were small they needed the support of each other to achieve economies of scale and the competitive advantage. Developing countries need to look at this process and carefully nurture clusters; this is one of the methods of ushering in industrialization, economic development and growth. India, like other developing countries have been giving fair amount of attention in this direction. Context of SMEs in India Small and Medium Enterprises [SMEs], through their ubiquitous presence have a significant role in the economy. They are responsible to usher in the industrial culture and the process of industrialization...
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...actively seize the opportunities arising from this trend. Based on the article, cluster is a group of firms and institutions of one industrial sector that are complementing each other along a value chain and also overlapping in a limited geographical area. Clusters are considered to increase the productivity with which companies can compete, nationally and globally. Clusters are also very important aspects of strategic management. Business cluster gives many benefits such as productivity benefits, innovation and higher profitability compared to their isolated competitors. The producers that located within clusters can more easily concentrate on their core competencies and increase productivity. In clusters, it is easier for companies to recruit suitable employees and for employees to specialize in terms of their education. However, a wage-spiral may arise in a very dynamic cluster if employees frequently switch from one firm to another. The significance of employees moving from company to company becomes clearer still when viewed as a mechanism for knowledge exchange. People take their knowledge with them to their new jobs, combining it with the knowledge acquired at their new firms and thus developing the common knowledge base further. This provides an explanation for research findings showing that a few selected centers are host to most of the innovations in an industry. Companies anchored in such clusters can yield, on average, higher productivity than isolated companies and also...
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...industrial cluster? The main advantages of Industrial cluster are : ● Industry clusters provide production and marketing cost savings to member firms, such as, lower labor costs from sharing a labor pool. ● Industry clusters provide enhanced opportunities for cluster firms to focus on fewer activities and to adopt new production technologies and organizations ● Industry clusters facilitate the development of links, cooperation, and collaboration among area firms, that is, clustering stimulates networking. ● Industry clusters allow communities to focus industrial development programs on the needs of specific industries. * Information spillovers : enterprise can easily learn from other enterprises * Division of labor: they can easily transact intermediate goods and service with each other * Formation of market for special skills : they can easily find workers with desired skills (and such workers can easily find jobs) * Industrial clusters can attract customers * Industrial clusters can attract material suppliers Shortcomings to Industrial Cluster . The principal shortcoming inherent in following such a strategy is that the likelihood of success, for many rural communities, will be small. Industry clusters are difficult to establish for three reasons: ● Communities will have difficulty identifying clusters that best fit their local economies and firms that are most desirable for these clusters. In other...
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...Cluster Analysis1 Cluster analysis, like reduced space analysis (factor analysis), is concerned with data matrices in which the variables have not been partitioned beforehand into criterion versus predictor subsets. In reduced space analysis our interest centers on reducing the variable space to a smaller number of orthogonal dimensions, which maintains most of the information–metric or ordinal– contained in the original data matrix. Emphasis is placed on the variables rather than on the subjects (rows) of the data matrix. In contrast, cluster analysis is concerned with the similarity of the subjects–that is, the resemblance of their profiles over the whole set of variables. These variables may be the original set or may consist of a representation of them in reduced space (i.e., factor scores). In either case the objective of cluster analysis is to find similar groups of subjects, where “similarity” between each pair of subjects is usually construed to mean some global measure over the whole set of characteristics–either original variables or derived coordinates, if preceded by a reduced space analysis. In this section we discuss various methods of clustering and the key role that distance functions play as measures of the proximity of pairs of points. We first discuss the fundamentals of cluster analysis in terms of major questions concerning choice of proximity measure, choice of clustering technique, and descriptive measures by which the resultant clusters can...
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