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Cloud computing environment provides on-demand access to shared resources that can be managed with minimal interaction of cloud service provider. It is a heterogeneous environment where number of users request for shared resources with different possible conditions. Cloud computing provides reliable and validated services to the users on pay asyou-use basis. In a cloud computing environment, resources are allocated in terms of virtual machines and allocating the virtual machine to an appropriate user is very important so as to efficiently utilize scarce resources and to satisfy QoS requirements. In this paper, an attempt has been made to develop a stochastic simulator that allocates virtual machine to the user with efficient resource utilization and minimal investment. In present simulator, resource allocation strategy depending upon the time and cost has been proposed to allocate resources (virtual machines) in order to fulfil the requirements of both, cloud users and service providers. In additions, it has been assumed that each VM is capable of executing all requests and the execution times are generated as samples from a specific non-.uniform probability distribution i.e. by Exponential Distribution function. Simulation results demonstrate the better performance of clouds with minimum makespan of jobs on a given set of heterogeneous virtual machines (VMs).

Cloud computing environment is referred as a collection of services which are delivered via the Internet. It depends upon sharing of resources to maximize the utilization of shared resources, and to achieve consistency and economies of scale. Resource management is very important for every system. Performance, functionality and cost are the three basic factors that are affected by resource management for system evaluation. Cloud resource management means to allocate and schedule computing resources. In this paper, various resource allocation and scheduling strategies are considered that helps in achieving high resource utilization and users demands. Various resource allocation strategies that are discussed in this paper are based on various parameters such as: location, time, topology, applications, hardware, priority, QoS etc. to meet the needs of cloud application. Similarly, scheduling strategies are based on parameters: cost, time, location, Qos, priority, load-balancing etc. to achieve high performance computing and best system throughput.

This paper is covers the exploratory research study on the marketing strategies of IDBI Federal Insurance, Company. In the Indian context, Insurance companies are playing a major role in the development of Indian economy. With the entry of many private players in the insurance industry, the competition has risen manifold and hence insurance companies are coming out with innovative marketing strategies to woo the customer. This was the reason for narrowing down the scope of the research work. The present paper is an exploratory research study on the marketing strategy of IDBI Federal Insurance Company. The paper seeks to address the following objectives (a) To determine the marketing strategies of IDBI Federal Life Insurance Co. Ltd (b) To determine the means and mechanism deployed by IDBI Federal Life Insurance Co. Ltd. Applying the marketing mix and to determine the effectiveness of the strategy and (c) to understand the reasons which provide competitive advantage to IDBI Federal Life Insurance Co. Ltd. The paper is developed on the basis of elementary primary and secondary data available in the Internet and other documents and journals. The design of the paper follows a structured approach. The literature review resulted in the generation of the research objectives. The primary data was collected by means of Google Forms and MS Excel was used for data analysis. Descriptive Statistics is used to arrive at the findings and interpretation. The findings indicate that the majority of the people seek insurance cover for the purpose of having risk cover and availing several benefits associated with the life insurance policies. Further, the findings indicate that there is a need to capitalize social media platform for generating awareness to drive the market growth. KEY WORDS: IDBI, Insurance, Marketing, Policies, Strategies

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