540 research outputs found
Evolving multi-tenant SaaS cloud applications using model-driven engineering
Cloud computing promotes multi-tenancy for efficient resource utilization by sharing hardware and software infrastructure among multiple clients. Multi-tenant applications running on a cloud infrastructure are provided to clients as Software-as-a-Service (SaaS) over the network. Despite its benefits, multi-tenancy introduces additional challenges, such as p artitioning, extensibility, and customizability during the application development. Over time, after the application deployment, new requirements of clients and changes in business environment result application evolution. As the application evolves, its complexity also increases. In multi-tenancy, evolution demanded by individual clients should not affect availability , security , and performance of the application for other clients. Thus, the multi- tenancy concerns add more complexity by causing variability in design decisions. Managing this complexity requires adequate approaches and tools. In this paper, we propose modeling techniques from software product lines (SPL) and model-driven engineering (MDE) to manage variability and support evolution of multi-tenant applications and their requirements. Specifically, SPL was ap p lied to define technological and concep tual variabilities during the application design, where MDE was suggested to manage these variabilities. We also present a process of how MDE can address evolution of multi-tenant applications using variability models
Implementing a maintainable and secure tenancy model
Software-as-a-Service is a popular software delivery model that provides subscription-based services for customers. In this thesis, we identify key aspects of implementing a maintainable and secure tenancy model through analyzing research literature and focusing on a case study. We also study whether it is beneficial to change a single-tenant implementation to a multi-tenant implementation in terms of maintainability and security.
We research common tenancy models and security issues in SaaS products. Based on these, we set out to analyze a case study product, identifying potential problems in its single-tenant implementation. We then decide on changing said model, and show the process of implementing a new hybrid model. Finally, we present validation methods on measuring the effectiveness of such implementation.
We identified data security and isolation, efficiency and performance, administrative manageability, scalability and profitability to be the most important quality aspects to consider when choosing a maintainable and secure tenancy model. We also recognize that it is beneficial to change from a single-tenant implementation to a multi-tenant implementation in terms of these aspects
Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation
One of the challenges of deploying multitenant cloud-hosted
services that are designed to use (or be integrated with) several
components is how to implement the required degree
of isolation between the components when there is a change
in the workload. Achieving the highest degree of isolation
implies deploying a component exclusively for one tenant;
which leads to high resource consumption and running cost
per component. A low degree of isolation allows sharing of
resources which could possibly reduce cost, but with known
limitations of performance and security interference. This
paper presents a model-based algorithm together with four
variants of a metaheuristic that can be used with it, to provide
near-optimal solutions for deploying components of a
cloud-hosted application in a way that guarantees multitenancy
isolation. When the workload changes, the model based
algorithm solves an open multiclass QN model to
determine the average number of requests that can access
the components and then uses a metaheuristic to provide
near-optimal solutions for deploying the components. Performance
evaluation showed that the obtained solutions had
low variability and percent deviation when compared to the
reference/optimal solution. We also provide recommendations
and best practice guidelines for deploying components
in a way that guarantees the required degree of isolation
Service Prototyping Lab Report - 2017 (Y2)
The annual activity report of the Service Prototyping Lab at Zurich University of Applied Sciences. Research trends and initiatives, research projects, transfer to education and local industry, academic community involvement, qualification and scientific development over the period of one year are among the covered topics
Cloudbus Toolkit for Market-Oriented Cloud Computing
This keynote paper: (1) presents the 21st century vision of computing and
identifies various IT paradigms promising to deliver computing as a utility;
(2) defines the architecture for creating market-oriented Clouds and computing
atmosphere by leveraging technologies such as virtual machines; (3) provides
thoughts on market-based resource management strategies that encompass both
customer-driven service management and computational risk management to sustain
SLA-oriented resource allocation; (4) presents the work carried out as part of
our new Cloud Computing initiative, called Cloudbus: (i) Aneka, a Platform as a
Service software system containing SDK (Software Development Kit) for
construction of Cloud applications and deployment on private or public Clouds,
in addition to supporting market-oriented resource management; (ii)
internetworking of Clouds for dynamic creation of federated computing
environments for scaling of elastic applications; (iii) creation of 3rd party
Cloud brokering services for building content delivery networks and e-Science
applications and their deployment on capabilities of IaaS providers such as
Amazon along with Grid mashups; (iv) CloudSim supporting modelling and
simulation of Clouds for performance studies; (v) Energy Efficient Resource
Allocation Mechanisms and Techniques for creation and management of Green
Clouds; and (vi) pathways for future research.Comment: 21 pages, 6 figures, 2 tables, Conference pape
A look at cloud architecture interoperability through standards
Enabling cloud infrastructures to evolve into a transparent platform while preserving integrity raises interoperability issues. How components are connected needs to be addressed. Interoperability requires standard data models and communication encoding technologies compatible with the existing Internet infrastructure. To reduce vendor lock-in situations, cloud computing must implement universal strategies regarding standards, interoperability and portability. Open standards are of critical importance and need to be embedded into interoperability solutions. Interoperability is determined at the data level as well as the service level. Corresponding modelling standards and integration solutions shall be analysed
Cloud enterprise resource planning development model based on software factory approach
Literature reviews revealed that Cloud Enterprise Resource Planning (Cloud ERP) is
significantly growing, yet from software developersā perspective, it has succumbed to high management complexity, high workload, inconsistency software quality, and knowledge retention problems. Previous researches lack a solution that holistically addresses all the research problem components. Software factory approach was chosen to be adapted along with relevant theories to develop a model referred to as Cloud ERP Factory Model (CEF Model), which intends to pave the way in solving the above-mentioned problems. There are three specific objectives, those are (i) to develop the model by identifying the components with its elements and compile them into the CEF Model, (ii) to verify the modelās deployment technical feasibility, and (iii) to validate the model field usability in a real Cloud ERP production case studies. The research employed Design Science methodology, with a mixed method
evaluation approach. The developed CEF Model consists of five components; those are Product Lines, Platform, Workflow, Product Control, and Knowledge Management, which can be used to setup a CEF environment that simulates a process-oriented software production environment with capacity and resource planning features. The model was validated through expert reviews and the finalized model was verified to be technically feasible by a successful deployment into a selected commercial Cloud ERP production facility. Three Cloud ERP commercial deployment case studies were conducted using the prototype environment. Using the survey instruments developed, the results yielded a Likert score mean of 6.3 out of 7 thus reaffirming that the model is usable and the research has met its objective in addressing the problem components. The models along with its deployment verification processes are the main research contributions. Both items can also be used by software industry practitioners and academician as references in developing a robust Cloud ERP production facility
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