Proceedings Article10.1109/ICECCT.2017.8117817
Cloud computing: Software as a service
Aniruddha S. Rumale,Dinesh N. Chaudhari +1 more
- 01 Feb 2017
pp 1-6
29
TL;DR: SaaS, being a popular cloud computing model and emerging trend in technology usage, is exploited by many software developers and industries to deploy their software and implementation of private SaaS is useful for any institute in increasing its work efficiency while reducing the cost involved.
read more
Abstract: At present, SaaS(Software as a Service) is a new mantra for many software industries and individuals. How software can be offered as a service? What are the requirements and issues of SaaS? What is architectural difference between SaaS, and other cloud computing models? What are the implementation challenges for SaaS? These are the few questions one need to answer while implementing SaaS. Offering software as a service actually minimizes the software piracy. It also makes software update and distribution process easy. Centrally maintaining a software in secure environment of CSP (Cloud Service Provider) frees the user from providing security to it. SaaS is an upper layer of cloud computing, so Cloud users do not require very high end computational power at their end. CSP provides it with SaaS. This helps in cost cutting at users' end, by reducing the amount of buying extra hardware for carrying their work. This paper is a brief review of SaaS, explaining its concept and requirements. SaaS, being a popular cloud computing model and emerging trend in technology usage, is exploited by many software developers and industries to deploy their software. This paper also discuss on how to implement a private SaaS using minimal resources at our hand implementation of private SaaS is useful for any institute in increasing its work efficiency while reducing the cost involved.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Challenges and recommended practices for software architecting in global software development
TL;DR: A systematic literature review is conducted that synthesises challenges which GSD imposes on software architecture design, and recommended practices to alleviate these challenges, to develop a framework of challenges and solutions that can be applied in both research and practice.
50
A natural human language framework for digital forensic readiness in the public cloud
TL;DR: In cloud computing, potential digital evidence is distributed across multiple isolated sites and the ability to store and share data among these sites is a natural advantage.
30
Secured cloud SCADA system implementation for industrial applications
TL;DR: In this paper , the authors proposed a Remote SCADA System (RSS) which is a smarter, faster and more reliable way to control high power machines and monitor their sensors, data, and failures.
Genomics pipelines to investigate susceptibility in whole genome and exome sequenced data for variant discovery, annotation, prediction and genotyping.
TL;DR: In this article, the authors focused on the standalone and networked bioinformatics applications proposed to efficiently process WGS and WES data, and support downstream analysis for gene-variant discovery, annotation, prediction, and interpretation.
14
Strategic Values of Cloud Computing Transformation: A Multi-Case Study of 173 Adopters
TL;DR: The results of this study can be used by managers to facilitate and optimize this cloud computing transformation, and strategies to maximize the transformative value of cloud computing are presented.
11
References
The NIST Definition of Cloud Computing
Peter Mell,Timothy Grance +1 more
- 28 Sep 2011
TL;DR: This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models.
17.6K
•Book
Virtual Machines: Versatile Platforms for Systems and Processes (The Morgan Kaufmann Series in Computer Architecture and Design)
James E. Smith,Ravi Nair +1 more
- 01 Jun 2005
TL;DR: Virtual Machine technology applies the concept of virtualization to an entire machine, circumventing real machine compatibility constraints and hardware resource constraints to enable a higher degree of software portability and flexibility as mentioned in this paper.
636
•Book
Virtual Machines: Versatile Platforms for Systems and Processes
James E. Smith,Ravi Nair +1 more
- 01 Jan 2014
TL;DR: Examines virtual machine technologies across the disciplines that use them—operating systems, programming languages and computer architecture—defining a new and unified discipline.
589
•Posted Content
A Survey on Security Issues in Cloud Computing
TL;DR: This extensive survey paper aims to elaborate and analyze the numerous unresolved issues threatening the Cloud computing adoption and diffusion affecting the various stake-holders linked to it.
SLA-Oriented Resource Provisioning for Cloud Computing: Challenges, Architecture, and Solutions
TL;DR: In this paper, the authors present the vision, challenges, and architectural elements of SLA-oriented resource management in cloud computing systems and propose an architecture that supports integration of market-based provisioning policies and virtualization technologies for flexible allocation of resources to applications.