3 research outputs found
On Evaluating Commercial Cloud Services: A Systematic Review
Background: Cloud Computing is increasingly booming in industry with many
competing providers and services. Accordingly, evaluation of commercial Cloud
services is necessary. However, the existing evaluation studies are relatively
chaotic. There exists tremendous confusion and gap between practices and theory
about Cloud services evaluation. Aim: To facilitate relieving the
aforementioned chaos, this work aims to synthesize the existing evaluation
implementations to outline the state-of-the-practice and also identify research
opportunities in Cloud services evaluation. Method: Based on a conceptual
evaluation model comprising six steps, the Systematic Literature Review (SLR)
method was employed to collect relevant evidence to investigate the Cloud
services evaluation step by step. Results: This SLR identified 82 relevant
evaluation studies. The overall data collected from these studies essentially
represent the current practical landscape of implementing Cloud services
evaluation, and in turn can be reused to facilitate future evaluation work.
Conclusions: Evaluation of commercial Cloud services has become a world-wide
research topic. Some of the findings of this SLR identify several research gaps
in the area of Cloud services evaluation (e.g., the Elasticity and Security
evaluation of commercial Cloud services could be a long-term challenge), while
some other findings suggest the trend of applying commercial Cloud services
(e.g., compared with PaaS, IaaS seems more suitable for customers and is
particularly important in industry). This SLR study itself also confirms some
previous experiences and reveals new Evidence-Based Software Engineering (EBSE)
lessons
Understanding and Improving Security of the Android Operating System
Successful realization of practical computer security improvements requires an understanding and insight into the system\u27s security architecture, combined with a consideration of end-users\u27 needs as well as the system\u27s design tenets. In the case of Android, a system with an open, modular architecture that emphasizes usability and performance, acquiring this knowledge and insight can be particularly challenging for several reasons. In spite of Android\u27s open source philosophy, the system is extremely large and complex, documentation and reference materials are scarce, and the code base is rapidly evolving with new features and fixes. To make matters worse, the vast majority of Android devices in use do not run the open source code, but rather proprietary versions that have been heavily customized by vendors for product differentiation.
Proposing security improvements or making customizations without sufficient insight into the system typically leads to less-practical, less-efficient, or even vulnerable results. Point solutions to specific problems risk leaving other similar problems in the distributed security architecture unsolved. Far-reaching general-purpose approaches may further complicate an already complex system, and force end-users to endure significant performance and usability degradations regardless of their specific security and privacy needs. In the case of vendor customization, uninformed changes can introduce access control inconsistencies and new vulnerabilities. Hence, the lack of methodologies and resources available for gaining insight about Android security is hindering the development of practical security solutions, sound vendor customizations, and end-user awareness of the proprietary devices they are using.
Addressing this deficiency is the subject of this dissertation. New approaches for analyzing, evaluating and understanding Android access controls are introduced and used to create an interactive database for use by security researchers as well as system designers and end-user product evaluators. Case studies using the new techniques are described, with results uncovering problems in Android\u27s multiuser framework and vendor-customized System Services. Finally, the new insights are used to develop and implement a novel virtualization-based security architecture that protects sensitive resources while preserving Android\u27s open architecture and expected levels of performance and usability