From e-commerce to social commerce: A close look at design features

http://www-inf.it-sudparis.eu/~defude/MOPS/cloudfederation.pdf

Cloud federation in a layered service model

https://hal.inria.fr/inria-00511414/document

BlobSeer: Next-generation data management for large scale infrastructures

The explosion of the data both in the biomedical research and in the healthcare systems demands urgent solutions. In particular, the research in omics sciences is moving from a hypothesis-driven to a data-driven approach. Healthcare is additionally always asking for a tighter integration with biomedical data in order to promote personalized medicine and to provide better treatments. Efficient analysis and interpretation of Big Data opens new avenues to explore molecular biology, new questions to ask about physiological and pathological states, and new ways to answer these open issues. Such analyses lead to better understanding of diseases and development of better and personalized diagnostics and therapeutics. However, such progresses are directly related to the availability of new solutions to deal with this huge amount of information. New paradigms are needed to store and access data, for its annotation and integration and finally for inferring knowledge and making it available to researchers. Bioinformatics can be viewed as the “glue” for all these processes. A clear awareness of present high performance computing (HPC) solutions in bioinformatics, Big Data analysis paradigms for computational biology, and the issues that are still open in the biomedical and healthcare fields represent the starting point to win this challenge.

/pdf/managing-analysing-and-integrating-big-data-in-medical-3tk5mi8fgp.pdf

Managing, analysing, and integrating big data in medical bioinformatics: open problems and future perspectives.

The effects of social commerce design on consumer purchase decision-making

Applications that process large volumes of data (such as, search engines, grid computing applications, data mining applications, etc.) require a backend infrastructure for storing data. The distributed file system is the central component for storing data infrastructure. There have been many projects focused on network computing that have designed and implemented distributed file systems with a variety of architectures and functionalities. In this paper, we develop a comprehensive taxonomy for describing distributed file system architectures and use this taxonomy to survey existing distributed file system implementations in very large-scale network computing systems such as Grids, Search Engines, etc. We use the taxonomy and the survey results to identify architectural approaches that have not been fully explored in the distributed file system research.

A Taxonomy and Survey on Distributed File Systems

Information technology is moving towards the next generation and is attaining a new paradigm shift with the development of new technologies and its impact towards application development are inevitable. In particular, the focus on Web services (Web 2.0) are increasing and currently it is been considered as a platform rather than service, due to its capability of data integration and working jointly with other applications. This has helped the enterprise to have new dimension to their application development. Similarly, social networking is playing a crucial role and it provides organizations with the critical data to build strong relationships with their customers and partners. In this paper, we have proposed the conceptual model of social CRM system, combining the features of Web 2.0 and social networking with the current CRM system. This will certainly provide a new direction and currently organizations have started towards this direction.

Conceptual Modeling of Enterprise Application System Using Social Networking and Web 2.0 Social CRM System

Designing business process is very complex as it involves activities, resources, products and tools. Adopting the concept of domain specific modeling helps creating and using business processes, packaged as services and enable reusability, loose coupling, higher abstraction, agility, and interoperability. Domain specific modeling can be used to design the business processes as it increases the business centric value as well the productivity and quality. In this paper, GME tool is used for creating DSM of business process and also discussed how business processes are captured and defined at domain level. Also the design of business process and entity meta-model's and its interpretation to generate the Input model is shown in detail. GReAT Tool is used for applying configuration and transformation rules on the imported models. Finally full code generation is shown.

Domain Specific Modeling of Business Processes and Entity Mapping Using Generic Modeling Environment (GME)

CRM focus on managing the relationship between a company and its current and prospective customer base as a key to success. A good relationship with the customer leads to higher customer satisfaction. Despite its importance the failure rate is higher because of the implementation and integration problems. We are trying to address this issue by developing the CRM system using GME through meta-model approach. GME is a configurable toolset that supports the easy creation of domain specific modeling and program synthesis environment. Enterprises of all descriptions have long sought to integrate and manage all of their information assets within a single system. The goal remains elusive as enterprises create and store their assets in a myriad of disparate systems such as relational databases. In this paper we outline the integration Issues and describe the concepts MOF and GME and how they can be used for developing the CRM system that provides seamless integration among the components within the system and also its integration with other applications.

Meta-Modeling Approach of Building CRM System Using GME-MOF

"Most business follows time-honored mass-marketing roles of pitching their products to more number of people. But selling more goods to fewer people is more efficient and more profitable. Welcome to a radically different business paradigm of one to one Production, Marketing and Communication." In One to One marketing the company is focusing on one customer at a time rather than just share of market. This has made the companies to literally design products and service for specific customers, instead of creating a product and then trying to find people who want to buy it. The One to One approach, as in relationship marketing, is looked at a process with the customer. It follows the unique IDIC methodology (Identify, Differentiate, Interact, Customize). Sounds like focusing the resources on the highest potential customers and customizing the approach based on their profiles. In many ways CRM is the operational face of the One to One movement; CRM represents the business philosophy required to accomplish the One to One marketing vision. CRM is a strategy. with the tools and the software, which allow the firm to execute the strategy. CRM has been divided according to the functionality of software tools. Analytical CRM Collaborative CRM Operational CRM Companies that implement CRM systems can expect to pay as much as, three times licensing fees to implement their systems. High-end CRM systems can cost as much as $3,000 per user. In a recent study. it has been found that organizations implementing a CRM solution can expect to see up to a 42 percent increase in sales, a 35 percent decrease in cost of sales, a 25 percent reduction in sales cycle times and a 20 percent increase in customer satisfaction numbers. This paper discusses how Operational and Analytical Technologies can optimize the CRM System in an Organization to provide absolute and increased Customer Satisfaction.

Subaji Mohan

Papers

A Taxonomy and Survey on Distributed File Systems

Conceptual Modeling of Enterprise Application System Using Social Networking and Web 2.0 Social CRM System

Domain Specific Modeling of Business Processes and Entity Mapping Using Generic Modeling Environment (GME)

Meta-Modeling Approach of Building CRM System Using GME-MOF

Operational and Analytical Technologies for Optimizing CRM System