Mon-Fri- 10am to 6pm 080-28488990 shreekrish@skiresearch.com Contact Us




Working prerequisites Working in R&D involves proposing methods to management and techniques for innovative solutions in a challenging environment. Requirement is to prepare detailed specifications, estimates for resources and project plans. Develop a plan with timelines,milestones,expected results and monitor the progress of ongoing project. Provide progress reports to the management team with each milestone. Work in accordance with the approved project plan, funds and resources. Focus ‘Engineering then transform these prototypes into products or services and Launch your Smart Ideas’. To manage research teams for product developmentwith a background in project management focus could be to find the best method of product development. Strengths could include strong communication skills to discuss with business managers the impact of various products based on the return on investment in the competitive commercial market in order to Track market, Service market, Shape market and Maintain market. Attract training aspirants for required training and joint venture IT projects developments based on the analysis report of Regulatory changes in markets Disruptive technology, an expansion in mergers and acquisitions, Collaborative research and Shareholder frustration. ONGOING RESEARCH

Cloud-Computing

TITLE: PRE-EMPTIVE DATA DETECTION WITH PROMPTING KEYWORDS IN HYBRID CLOUD COMPUTING

SUMMARY OF THE PROJECT:     Cloud computingrelies on sharing of resources to achieve coherence and economies of scale, similar to a utility over a network or a technology portfolio behind such services, features a shared elastic computing infrastructure hosting multiple applications where IT management complexity is hidden and resource multiplexing leads to efficiency; more computing resources can be allocated on demand to an application when its current workload incurs more resource demand than it was allocated. The concerns on the current cloud computing services include service availability & reliability, lack of Service level Agreements, customer data security & privacy, government compliance regulation requirements and more.

This project proposes a hybrid cloud computing model which enterprise IT customers can base to design and plan their computing platform for hosting Internet-based applications with highly dynamic workload. The hybrid cloud computing model features a two-zone system architecture where the two naturally different components in the aggregated workload of an Internet-based application, base load and flash crowd load, are explicitly separated for individual management. Base load refers to the smaller and smoother workload experienced by the application all the time, while flash crowd load refers to the much larger but transient load spikes experienced at rare time. The base load platform can be setup and managed in the small enterprise data center with the expectation of effective planning and high utilization, while the flash crowd load platform can be provisioned on demand through a cloud service by taking advantage of the elastic nature of the cloud infrastructure.

OBJECTIVES


To develop an independent base zone/private cloud and integrate with the flash crowd workload zone/Public cloud. Simplify the workload and increase the server performance with the implementation of hybrid cloud computing model which aggregates workload of an internet-based application as base load and flash crowd load. Web based keyword has to prompt the user to detect the required data through the browser.

EXPECTED OUTCOME


The difficulties in the adoption of service reliability, data security and privacy, regulation compliant requirements and etc. are important issues in cloud computing. To address those concerns, it’s proposed a hybrid cloud computing model which helps to adopt a sensible and cost-saving methodology to make the best use of public cloud services along with their privately-owned (legacy) data centers. An intelligent workload factoring service is being designed for proactive workload management. It enables federation between on-and off-premise infrastructures for hosting Internet-based applications, and the intelligence lies in the explicit segregation of base workload and flash crowd workload, the two naturally different components composing the application workload. The design of a hybrid cloud computing model with the proposed proactive workload management technology, the hybrid cloud computing model allows users to develop a new architecture where a dedicated resource platform runs for hosting base service workload, and a separate and shared resource platform serves flash crowd peak load. Given the elastic nature of the cloud infrastructure, it creates a situation where cloud resources are used as an extension of existing infrastructures.