This document summarizes two research papers that were presented at the International Conference on Advances & Challenges in Interdisciplinary Engineering and Management in 2017. The first paper discusses the design and analysis of a propeller shaft using finite element analysis to model composite materials like carbon fiber. The second paper proposes an algorithm to optimize the placement of content and routing of requests between public and private clouds to minimize costs while meeting response time constraints. Both papers examine using advanced materials and cloud computing technologies to improve engineering systems.

1. International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 43
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International Conference on Advances & Challenges in Interdisciplinary Engineering and
Management 2017 [ICACIEM 2017]
ISBN 978-81-933235-1-9 VOL 01
Website icaciem.org eMail icaciem@asdf.res.in
Received 10 – January – 2017 Accepted 28 - January – 2017
Article ID ICACIEM085 eAID ICACIEM.2017.085
Design and Analysis of Propeller Shaft by using Finite
Element Analysis Method
Anthony E1
, Ayyasamy S2
, Balusamy S3
, Chakkaravarthi S4
, Dhinakaran N5
1,2,3,4,5
UG Students, Dept. of Mechanical Engineering, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India
Abstract: The innovative composite materials such as Graphite, Carbon, Kevlar and Glass with suitable resins are widely used because of their high
specific strength (strength/density) and high specific modulus (modulus/density). Carbon fibres are among the most popular reinforcement additives for
polymer based composites, to be used in all those applications where very excellent mechanical performances are compulsory. The technology of modern
composite materials provides outstanding mechanical results to finished parts whose overall behaviour can vastly exceed many metallic alloys, even the
most sophisticated. Advanced composite materials seem ideally suited for long, power driver shaft (propeller shaft) applications. Their elastic properties
can be tailored to increase the torque they can carry as well as the rotational speed at which they operate. The drive shafts are used in automotive,
aircraft and aerospace applications. The automotive industry is exploiting composite material technology for structural components construction in order
to obtain the reduction of the weight without decrease in vehicle quality and reliability. It is known that energy conservation is one of the most
important objectives in vehicle design and reduction of weight is one of the most effective measures to obtain this result. Actually, there is almost a direct
proportionality between the weight of a vehicle and its fuel consumption, particularly in city driving.
ISBN 978-81-933235-1-9 VOL 01
Website icaciem.org eMail icaciem@asdf.res.in
Received 10 – January – 2017 Accepted 28 - January – 2017
Article ID ICACIEM086 eAID ICACIEM.2017.086
Cost-Optimized Dynamic Immigration of Content
Distribution Services into Hybrid Clouds
S Malarkodi1
, M Nachiyammal2
, S Revathi3
, G Padmapriya4
1,2,3
IV Year CSE, 4
Professor & Head, Department of CSE, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India
Abstract: With the recent advent of cloud computing technologies, a growing number of content distribution applications are contemplating a switch
to cloud-based services, for better scalability and lower cost. Two key tasks are involved for such a move: to migrate the contents to cloud storage, and to
distribute the web service load to cloud-based web services. The main issue is to best utilize the cloud as well as the application provider’s existing
private cloud, to serve volatile requests with service response time guarantee at all times, while incurring the minimum operational cost. While it may
not be too difficult to design a simple heuristic, proposing one with guaranteed cost optimality over a long run of the system constitutes an intimidating
challenge. we design a dynamic control algorithm to optimally place contents and dispatch requests in a hybrid cloud infrastructure spanning geo-
distributed data centres, which minimizes overall operational cost over time, subject to service response time constraints. Rigorous analysis shows that
the algorithm nicely bounds the response times within the present QoS target, and guarantees that the overall cost is within a small constant gap from
the optimum achieved by a T-slot look ahead mechanism with known future information. We verify the performance of our dynamic algorithm with
prototype-based evaluation.
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