Informatics Publishing Limited

Ganesan Veerappan ¹, C. Suresh Gnana Dhas ²

Affiliations
1 Research and Development Centre, Bharathiar University, Coimbatore - 641046, IN
2 Vivekanandha College of Engineering for Women, Namakkal - 637205, IN

Abstract

Virtual data centers facilitate sharing of resources between computing services and hosted appliances. These are insecure during the allocation and management of resources to share with their clients. This necessitates utmost attention in the information sharing world. Though current arrangement increases revenue, but at the same time introduces the need for novel approaches to resource allocation and control. Conversely, it is extremely hard to satisfy Service Level Objectives (SLOs) of a shared infra structure. Various factors have to be accomplished to fulfill the scenario. Initially the systems behind running services are large, distributed, and heterogeneous. Next, participants can be expected to behave strategically; some user controls are considered and if it is possible, align these with the optimality of the system as a whole. In this paper, we present distinct models which deal with the issues of computing environments. Each focuses on the allocation or control problem within the virtual datacenter: 1. Smart speculation among competing service providers, 2. Pricing of resources and allocation among the clients, 3. Scheduling Min-level power alert hardware, 4. Energy aware for wireless transmission devices, and 5. Auto Control, which robotically redesign workload changes to active application SLOs. Lastly, we audit a group of an open source function estimator and innovative Multi-Input, Multi-Output (MIMO) resource controller for improving quality of delivery.

Keywords

Auto Control, Computer Resources, MIMO, Power Control, Pricing Resources, Service Level Objectives (SLOs), Smart Investment

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R. Umesh Sundar ¹, G. Mohan Kumar ², C. Suresh Gnana Dhas ³

Affiliations
1 Dept of Mechanical Engineering, Park College of Engineering and Technology, Coimbatore - 641 659, IN
2 Park College of Engineering and Technology, Coimbatore - 641 659, IN
3 Holy Cross College of Engineering, Tuticorin, IN

Abstract

The Integration of Value Engineering into the four stages of Quality Function Deployment would certainly enhance the visualization of decisions pertaining to a part (De-Twister assembly). A “De-Twister assembly” is one of the sub assemblies of Squeezer machine, was selected and the case study was carried out in the above concept. A detailed Value Engineering for De-Twister (43 subassemblies) parts was analyzed and integrated with Quality Function Deployment in order to improve the performance of the product with overall cost reduction in the de-twister subassembly. An attempt has been made in this paper to know the advantages of integration of Value Engineering with the four planning stages of Quality Function Deployment. This experience would be useful for the companies to continuously improve the product performance with cost effective based on customer requirements and to meet the challenges with the competitive firms in the global market.

Keywords

QFD, Quality Function Deployment & Product Design, Series Integration of QFD & VE, Voice of Customer, Rating and Relationship, Value Engineering, Product Planning Matrix, Part Planning Matrix, Process Planning Matrix, Manufacturing Planning Matrix.

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