International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,March 2017,

Topic : Resource Requirements In Cloud

Authors:Sudha Pelluri || Ramachandram Sirandas

Abstract:Resource providers on Cloud offer heterogeneous resources such as compute units and storage in Virtual Machine instances (VM). Cloud providers expect users to request for resources. In this process, overestimation of resources by cloud users lead to unused resources. The cumulative unutilized resources for each job of the user, amount to unnecessary expenditure for users and wasted resources for providers. Large scale data centers that provide reliable high performance computational and storage services for Cloud providers, face problems of increased energy consumption and CO2 emission as a consequence of huge resource wastage. Therefore, for environmental and financial reasons it is imperative to reduce unnecessary resource reservation. This can be done by using resource prediction technique that ensures resource allocation only as much as is necessary for the customer. Currently, there are no suitable prediction techniques for Cloud resource usage because of absence of pattern, trend and seasonality in users’ resource usage [2].The proposed prediction approach applies Enhanced Instance Based Learning and is tested using Google Cluster Trace Data [1] . The contribution of this work to existing body of work on cloud resource management by effective resource prediction approaches are discussed..

Keywords: Resource Prediction, Enhanced Instance Based Learning, Cloud Usage Data

Download Paper


DOI: 01.1617/vol4/iss3/pid95013


Related Articles

Wormhole Attack Prevention and Detection Approaches in Mobile Ad hoc Networks: A Survey.

Authors: Avinash Singh || Ram Singar Verma

Doi : 01.1617/vol4/iss03/pid34591

Volume4 ,March 2017.

Developing a GIS Platform for Tourism marketing and promotion In Nigeria: Case Study Of Bauchi State

Authors: Abubakar Siddiq Ango || Abdulsalam Waheed Abdulfatah, Idrissa Djibo

Doi : 01.1617/vol3/iss09/pid91783

Volume3 ,September 2017.

Decentralized Trust Management and Trust Worthiness of Cloud Environments

Authors: Qhubaib Syed || Syed Afzal Ahmed,Syed Abdul Haq

Doi : 01.1617/vol4/iss4/pid21386

Volume4 ,April 2017.

Brain Controlled Chess Based on Virtual Reality Control for Paralyzed Patients

Authors: Sindhura Rao || Ashwini S,Kusuma Mohanchandra

Doi : 01.1617/vol4/iss4/pid82074

Volume4 ,April 2017.

Multilevel Authentication System

Authors: Nichita Silva Lobo || Beverly Rodrigues,Pavni Alluri,Prathibha Singh,Nicole Alvares

Doi : 01.1617/vol4/iss4/pid82135

Volume4 ,April 2017.

Stock Prediction Using Clustering And Regression Techniques

Authors: Shalini Lotlikar || Megha Ainapurkar

Doi : 01.1617/vol4/iss4/pid39708

Volume4 ,April 2017.

Brain Tumor Detection using Image Segmentation

Authors: Siddhi N. Nerurkar ||

Doi : 01.1617/vol4/iss4/pid02845

Volume4 ,April 2017.

Video Mining using Query by Example

Authors: Rosebud Valadares ||

Doi : 01.1617/vol4/iss4/pid89542

Volume4 ,April 2017.

Fuzzy Opinion Mining for Product Recommender System

Authors: Aarti Bandodker ||

Doi : 01.1617/vol4/iss4/pid03652

Volume4 ,April 2017.

Aadhaar and Server based Electoral system

Authors: Yugansh Garg || Sakshi Mishra

Doi : 01.1617/vol4/iss4/pid69053

Volume4 ,April 2017.

Approved By UGC


Journal Index Databases


IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

Google Scholar Profile

Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799


ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


IFERP OTHER JOURNALS


Subscribe

           Email:

SOCIAL MEDIA