Self-awareness of Cloud Applications

Abstract

Note: This is an extended survey. A much shorter, revised version of this material will be available in print, as part of a Springer book on "Self-Aware Computing". The book is due to appear in 2017.Abstract Cloud applications today deliver an increasingly larger portion of the Information and Communication Technology (ICT) services. To address the scale, growth, and reliability of cloud applications, self-aware management and scheduling are becoming commonplace. How are they used in practice? In this chapter, we propose a conceptual framework for analyzing state-of-the-art self-awareness approaches used in the context of cloud applications. We map important applications corresponding to popular and emerging application domains to this conceptual framework, and compare the practical characteristics, benefits, and drawbacks of self-awareness approaches. Last, we propose a roadmap for addressing open challenges in self-aware cloud and datacenter applications.

Building Survivable Software Systems by Automatically Adapting to Sensor Changes

“…The goal is to improve the reliability and correctness of a software system in environments with high complexity. Recent work has studied self-aware software in Internet of Things [36,37], robotic and space applications [38,39], surveillance and security [40,41], and cloud and data centers [42,43]. Our work can be viewed as a building block for self-aware systems as these systems are often built upon sensor data.…”

Self-awareness in Software Engineering

“…Regarding the basic concepts of self-awareness, [29] discussed motivations and inspirations of self-awareness and presented an overview of some recent works that approached computational self-awareness. Focusing on speci c so ware domains, authors in [22] focused on reviewing self-awareness approaches used in cloud computing. With respect to context-awareness, the survey conducted by Baldauf et al [1] presented common principles and elements of context-aware so ware architectures.…”

“…ese represent the degree of high quality and potential impact of the selected studies, and provide con dence in the overall quality of the systematic review. Details of the quality assessment results appear in section A.2.4 Figure 1, a signi cant number of studies were published in conference proceedings (38), followed by a smaller number of publications as book chapters (22) and journal articles (9). A limited number of technical reports (5) were published.…”

Modeling of Systems Under Cloud Environment

“…To address the above stated challenges, the idea of cloud computing was coined. The cloud computing environment is a distributed system [2], [3], [4], [5] which is open and large in which the resources provided as services to the computing infrastructures are made available via the internet [6]. Cloud computing provide organizations the ability to scale-up their IT infrastructures which include hardware, software and services by remotely giving them the ability to optimize the utility of these IT infrastructures through the provision of a virtualize data center.…”