Kongu Engineering College

About: Kongu Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2001 authors who have published 1978 publications receiving 16923 citations.

Mechanical Behavior of Concrete Modified by Replacement of Cement by Rice Husk Ash

Abstract: Construction industry is in need of lump sum quantities of materials which has increased both their demand and price. The use of large quantities of cement leads to increasing CO2 emission and as a consequence, the greenhouse effect. Consumption of wastes and byproducts from various sources in the manufacture of concrete has gained a great deal of importance in present days. Various researches are currently being conducted concerning the use of such products in concrete. RHA is a carbon neutral green product. Lots of ways are being thought of for disposing them by making commercial use of this. Rice husk ash is a good super-pozzolan which can be used to make special concrete mixes. The rice husk ash has been taken for this present study due to its easy availability and effective pozzolonic properties that are expected to improve the mechanical strength properties of concrete. Concrete specimens were made for evaluation of Compressive, Split Tensile, Flexural strength and Stress-Strain Behavior of concrete. The tests were conducted at the age of 7 and 28 days. Generally all mixes containing RHA achieved better properties than the conventional mix without RHA. By the experimental investigation the recommendation is given for using optimum percentage of RHA in concrete.

Big Data Technologies with Computational Model Computing Using Hadoop with Scheduling Challenges

Abstract: Big Data (BD), with their capability to learn esteemed bits of knowledge for an improved dynamic cycle, have as of late pulled in generous enthusiasm from the two scholastics and specialists. Big Data Analytics (BDA) is progressively turning into a moving practice that numerous associations embrace to build significant data from BD. The examination cycle, including the sending and utilization of BDA instruments, is seen by associations as a device to improve operational effectiveness; however, it has vital potential, drives new income streams, and increase upper hands over business rivals. Be that as it may, there are various sorts of expository applications to consider. In this manner, preceding rushed use and purchasing expensive BD instruments, there is a requirement for associations first to comprehend the BDA scene. Given the BD and BDA’s fantastic idea, this paper presents a state-of-craftsmanship survey that gives an all-encompassing perspective on the BD difficulties, and BDA techniques speculated/proposed/ utilized associations to help other people comprehend this scene to settle on strong venture choices. The examination introduced in this part has recognized significant BD research considers contributing both adroitly and precisely to the extension and gathering of scholarly riches to the BDA in innovation and hierarchical asset the board discipline. While there are a few productive methodologies for exhibiting MapReduce outstanding tasks at hand in Hadoop 1.x, they couldn’t be applied to Hadoop 2.x because of basic building changes and dynamic asset assignment in Hadoop 2.x. Consequently, the proposed arrangement depends on a current presentation model for Hadoop 1.x, however thinking about building changes and catching the execution stream of a MapReduce work by utilizing lining network model. Thusly, the cost model mirrors the intra-work synchronization requirements that happen due the conflict at shared assets.

A Multiconstrained Grid Scheduling Algorithm with Load Balancing and Fault Tolerance

Abstract: Grid environment consists of millions of dynamic and heterogeneous resources. A grid environment which deals with computing resources is computational grid and is meant for applications that involve larger computations. A scheduling algorithm is said to be efficient if and only if it performs better resource allocation even in case of resource failure. Allocation of resources is a tedious issue since it has to consider several requirements such as system load, processing cost and time, user's deadline, and resource failure. This work attempts to design a resource allocation algorithm which is budget constrained and also targets load balancing, fault tolerance, and user satisfaction by considering the above requirements. The proposed Multiconstrained Load Balancing Fault Tolerant algorithm (MLFT) reduces the schedule makespan, schedule cost, and task failure rate and improves resource utilization. The proposed MLFT algorithm is evaluated using Gridsim toolkit and the results are compared with the recent algorithms which separately concentrate on all these factors. The comparison results ensure that the proposed algorithm works better than its counterparts.