NDLI: Evaluating Cloud Platform Architecture with the CARE Framework

Content Provider	IEEE Xplore Digital Library
Author	Liang Zhao Liu, A. Keung, J.
Copyright Year	2010
Abstract	There is an emergence of Cloud application platforms such as Microsoft’s Azure, Google’s App Engine and Amazon’s EC2/SimpleDB/S3. Startups and Enterprise alike, lured by the promise of ‘infinite scalability’, ‘ease of development’, ‘low infrastructure setup cost’ are increasingly using these Cloud service building blocks to develop and deploy their web based applications. However, the precise nature of these Cloud platforms and the resultant Cloud application runtime behavior is still largely an unknown. Given the black box nature of these platforms, and the novel programming and data models of Cloud, there is a dearth of tools and techniques for enabling the rigorously evaluation of Cloud platforms at runtime. This paper introduces the CARE (Cloud Architecture Runtime Evaluation) approach, a framework for evaluating Cloud application development and runtime platforms. CARE implements a unified interface with WSDL and REST in order to evaluate different Cloud platforms for Cloud application hosting servers and Cloud databases. With the unified interface, we are able to perform selective high stress and low stress evaluations corresponding to desired test scenarios. Result shows the effectiveness of CARE in the evaluation of Cloud variations in terms of scalability, availability and responsiveness, across both compute and storage capabilities. Thus placing CARE as an important tool in the path of Cloud computing research.
Starting Page	60
Ending Page	69
File Size	869832
Page Count	10
File Format	PDF
ISBN	9781424488315
ISSN	15301362
DOI	10.1109/APSEC.2010.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-30
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stress Databases Cloud computing Servers Google Engines CARE Performance Evaluation Amazon Web Services Amazon EC2 Amazon SimpleDB Amazon S3 Microsoft Azure Google App Engine
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Evaluating Cloud Platform Architecture with the CARE Framework (2010)

Analysis of Cloud Computing Delivery Architecture Models

Evaluating High-Performance Computing on Google App Engine

Java web deployment in cloud computing.

Improving performance of web applications using cloud resources

Programming Amazon Web Services : S3, EC2, SQS, FPS, and SimpleDB

Framework for testing cloud platforms and infrastructures

Cloud Monitoring Framework (2010)

WPress: An Application-Driven Performance Benchmark for Cloud-Based Virtual Machines

Evaluating Cloud Platform Architecture with the CARE Framework

Similar Documents

Evaluating Cloud Platform Architecture with the CARE Framework (2010)

Analysis of Cloud Computing Delivery Architecture Models

Evaluating High-Performance Computing on Google App Engine

Java web deployment in cloud computing.

Improving performance of web applications using cloud resources

Programming Amazon Web Services : S3, EC2, SQS, FPS, and SimpleDB

Framework for testing cloud platforms and infrastructures

Cloud Monitoring Framework (2010)

WPress: An Application-Driven Performance Benchmark for Cloud-Based Virtual Machines

Evaluating Cloud Platform Architecture with the CARE Framework