scispace - formally typeset
Search or ask a question
Topic

Software as a service

About: Software as a service is a research topic. Over the lifetime, 8514 publications have been published within this topic receiving 136177 citations. The topic is also known as: Service as a Software Substitute & SaaSS.


Papers
More filters
Proceedings ArticleDOI
27 Jun 2014
TL;DR: The proposed framework is capable of performing QoS monitoring of application components that may be deployed across multiple cloud platforms (e.g., Amazon and Azure), and giving visibility into the QoS of individual application component, which is something not supported by current monitoring services and techniques.
Abstract: Cloud computing provides on-demand access to affordable hardware (e.g., multi-core CPUs, GPUs, disks, and networking equipment) and software (e.g., databases, application servers, data processing frameworks, etc.) platforms. Application services hosted on single/multiple cloud provider platforms have diverse characteristics that require extensive monitoring mechanisms to aid in controlling run-time quality of service (e.g., access latency and number of requests being served per second, etc.). To provide essential real-time information for effective and efficient cloud application quality of service (QoS) monitoring, in this paper we propose, develop and validate CLAMS-Cross-Layer Multi-Cloud Application Monitoring-as-a-Service Framework. The proposed framework is capable of: (a) performing QoS monitoring of application components (e.g., database, web server, application server, etc.) that may be deployed across multiple cloud platforms (e.g., Amazon and Azure), and (b) giving visibility into the QoS of individual application component, which is something not supported by current monitoring services and techniques. We conduct experiments on real-world multi-cloud platforms such as Amazon and Azure to empirically evaluate our framework and the results validate that CLAMS efficiently monitors applications running across multiple clouds

32 citations

Proceedings ArticleDOI
29 May 2012
TL;DR: This paper presents a new approach and tool for mapping software design to power consumption and describes how such mappings can provide software designers and developers useful information about the power behavior of the software they are developing.
Abstract: As the use of computers has grown, so too has concern about the amount of power that they consume. Data centers, for example, are limited in scalability as they struggle with soaring energy costs as many large companies rely on fast, reliable, and round-the-clock computing services. On large-scale computing clusters, like data centers, even a small drop in power consumption can have large effects. Across computing contexts, reducing power consumed by computers has become a major focus. In this paper, we present a new approach and tool for mapping software design to power consumption and describe how such mappings can provide software designers and developers useful information about the power behavior of the software they are developing. The goal is for software engineers to use this information in designing and developing more energy efficient solutions.

32 citations

Proceedings ArticleDOI
15 Apr 2013
TL;DR: A taxonomy and an architecture for the implementation of the software-to-data-paradigm in health care scenarios is proposed based on the "FI Core Platform" an innovative concept currently under investigation under the European 7th Framework.
Abstract: Health care providers have over years continuously rejected Public Cloud technology for understandable concerns regarding privacy and confidentiality. The pick up rate on cloud computing in health care has been very poor reminding at the typical hype curve profile. Coincidentally Google Health has been discontinued and Microsoft Health Vault has switched focus and turned to the slightly "softer" ambient assisted living market. It seems that the idea of using Platforms as a Service and Software as a Service to manage and distribute patient data in support of new distributed patient centric care models and services will require second thoughts and new ideas in order to receive another chance to penetrate global health care markets. The 2010 EC Cloud report briefly discussed the possibility of a reverse cloud approach aiming at sending software to the data rather than the other way round [1]. This thought seems to be worthwhile exploring further, as it would also sit well with the fact that the overall amount of data is currently growing much faster than the available bandwidth, a gap that continues to widen. Therefore it would be entirely reasonable to consider ideas to bring the software to the data rather than the other way round. This approach would also address existing governance, QoS and security issues. Our paper proposes a taxonomy and an architecture for the implementation of the software-to-data-paradigm in health care scenarios. The model is based on the "FI Core Platform" an innovative concept currently under investigation under the European 7th Framework (FP7)[2].

32 citations

Patent
Miroslav Novak1
10 Oct 2008
TL;DR: In this paper, a method and appertaining system for implementing the method is provided for managing a software service component in a service oriented architecture (SOA) model, in which aspects maintained by an SOA repository for the service component or software system using the component are made openly available.
Abstract: A method and appertaining system for implementing the method are provided for managing a software service component in a service oriented architecture (SOA) model, in which aspects maintained by an SOA repository for the service component or software system using the component are made openly available. A series of lifecycle stages for a service component are defined, as are the criteria for promoting the service components to a more advanced life cycle stage. A user/developer/enterprise architect provides a service component at an earlier lifecycle stage and then submits a promotion request for the service component to approver, who assess compliance with the requirement. If the service component complies with the requirement, it is promoted to the next life cycle stage.

31 citations

Proceedings ArticleDOI
27 Jun 2014
TL;DR: This work presents a robust and computationally inexpensive negotiation strategy, using which agents can efficiently create near-optimal SLAs under time constraints, which enables a dynamic SLA negotiation mechanism on top of the OpenShift (PaaS) based Cloud system designed using Service Oriented Cloud Computing Infrastructure (SOCCI) architecture.
Abstract: Cloud-based services have become a cornerstone of today's IT. The self-service feature inherent in Cloud systems allows customers to play a greater role in service procurement. However, this restricts the value propositions and Service Level Agreements (SLAs) that Cloud providers offer because Quality of Service (QoS) and Non Functional Property (NFP) requirements vary from customer to customer. In feature-rich SLA templates, the contract space gets large, objectives are confidential and preferences over QoS and NFP often conflict between providers and customers. Hence, an SLA-gap exists between the two and contemporary providers bind their offerings to the inflexible take-it-or-leave-it SLAs. In this work, we address this problem by presenting a robust and computationally inexpensive negotiation strategy, using which agents can efficiently create near-optimal SLAs under time constraints. Experimental evaluations validate that our strategy performs at par with state of the art learning and non-learning strategies against a variety of metrics including utility, social welfare, social utility and the Pareto-optimal bids. This enables a dynamic SLA negotiation mechanism on top of our OpenShift (PaaS) based Cloud system designed using Service Oriented Cloud Computing Infrastructure (SOCCI) architecture. Negotiated procurement of services is shown to improve satisfaction of participants and reducing the SLA-gap.

31 citations


Network Information
Related Topics (5)
Cloud computing
156.4K papers, 1.9M citations
85% related
Software
130.5K papers, 2M citations
85% related
The Internet
213.2K papers, 3.8M citations
84% related
Wireless sensor network
142K papers, 2.4M citations
84% related
Information system
107.5K papers, 1.8M citations
83% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202375
2022226
2021192
2020306
2019327
2018424