A Software Workbench for Interactive, Time Critical and Highly Self-Adaptive Cloud Applications (SWITCH)

Zhao, Zhiming; Taal, A.; Jones, Andrew C.; Taylor, Ian; Stankovski, Vlado; Vega, Ignacio Garcia; Hidalgo, Francisco Jesus; Suciu, George; Ulisses, Alexandre; Ferreira, Pedro; Laat, Cees de

doi:10.1109/ccgrid.2015.73

Cited by 27 publications

(11 citation statements)

References 7 publications

(5 reference statements)

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“…A major goal in the development of the SWITCH Interactive Development Environment (SIDE) [36], is to assure that the Quality of Service requirements are taken from the end-user early in the software design and engineering process. Once these requirements are semantically annotated and stored, they can be used later on during the use of the application to decide on which Cloud provider to deploy the application.…”

Section: Resultsmentioning

confidence: 99%

Dependability of Container-Based Data-Centric Systems

Kochovski

Stankovski

2018

Security and Resilience in Intelligent Data-Centric Systems and Communication Networks

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SummaryNowadays, many Cloud computing systems and applications have to be designed to be able to cope with the four V's of the Big Data problem: volume, variety, veracity and velocity. In this context, an important property in such systems is dependability. Dependability is a measure of the availability, reliability, tractability, response time, durability, security and other aspects of the system. Dependability has been well established as an important property in services science and systems engineering, however, data-centric systems may have some specific requirements due to which a variety of technologies are still maturing and evolving. The goal of the present work is to establish the main aspects of dependability in data-centric systems and to analyse to what extent various Cloud computing technologies can be used to achieve this property. Particular attention is given to the use of container-based technologies that represent a novel, lightweight form of virtualisation. The practical part of the chapter presents examples of highly dependable data-centric systems, such as ENTICE and SWITCH suitable for the Internet of Things (IoT) and the Big Data era.

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Section: Resultsmentioning

confidence: 99%

Dependability of Container-Based Data-Centric Systems

Kochovski

Stankovski

2018

Security and Resilience in Intelligent Data-Centric Systems and Communication Networks

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“…The Dynamic Real-time Infrastructure Planner (DRIP) is a system developed in the SWITCH project for the planning, validation and provisioning of the virtual infrastructure to support migrating applications onto clouds. The entire SWITCH) [12] workbench also includes other two subsystems: SIDE (SWITCH Interactive Development Environment). It is responsible for composing and describing applications; ASAP (Autonomous System Adaptation Platform).…”

Section: The Architecture and Techniques Of Cloudsstorm Frameworkmentioning

confidence: 99%

Migrating Live Streaming Applications onto Clouds: Challenges and a CloudStorm Solution

Zhou

Koulouzis

Wang

et al. 2018

2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)

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Live TV production, due to its distributed nature, requires broadcasters to deploy equipments and human resources to several different places. This increases production costs. The traditional method through outside broadcasting vans is expensive. Migrating this type of application onto clouds is a promising method to reduce the cost. However, the Quality of Experience (QoE) can hardly be assured because of the cloud performance uncertainty. Auto-scaling the infrastructure based on dynamic workloads at runtime is also difficult. The feasibility of CloudsStorm framework, which is the core component of SWITCH (Software Workbench for Interactive, Time Critical and Highly self-adaptive Cloud applications) workbench, handling the lifecycle of the time critical application development and performance monitoring, infrastructure planning and provisioning, etc., is demonstrated with the aspect of live events broadcasting. It makes a significant attempt to fill the DevOps gap when migrating applications from legacy systems onto clouds. A live streaming application is demonstrated as a use case example.

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“…Based on edge and fog computing definitions [34], exiting technology reviews [35,36], the identified technical requirements of the potential applications, and experience gained in the course of advanced cloud computing and software engineering projects, such as mOSAIC [37], SWITCH [38] and ENTICE [39], an adequate conceptual approach for edge computing in construction is prepared. It defines the main necessary services that can be used to obtain high QoS.…”

Section: Methodsologymentioning

confidence: 99%

Supporting smart construction with dependable edge computing infrastructures and applications

Kochovski

Stankovski

2018

Automation in Construction

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The Internet of Things (IoT) such as the use of robots, sensors, actuators, electronic signalization and a variety of other Internet enabled physical devices may provide for new advanced smart applications to be used in construction in very near future. Such applications require real-time responses and are therefore time-critical. Therefore, in order to support collaboration, control, monitoring, supply management, safety and other construction processes, they have to meet dependability requirements, including requirements for high Quality of Service (QoS). Dependability and high QoS can be achieved by using adequate number and quality of computing resources, such as processing, memory and networking elements, geographically close to the smart environments. The goal of this study is to develop a practical edge computing architecture and design, which can be used in to support smart construction environments with high QoS. This study gives particular attention to the solution design, which relies on latest cloud and software engineering approaches and technologies, and provides elasticity, interoperability and adaptation to companies' specific needs. Two edge computing applications supporting video communications and construction process documentation are developed and demonstrate a viable edge computing design for smart construction.

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A Software Workbench for Interactive, Time Critical and Highly Self-Adaptive Cloud Applications (SWITCH)

Cited by 27 publications

References 7 publications

Dependability of Container-Based Data-Centric Systems

Dependability of Container-Based Data-Centric Systems

Migrating Live Streaming Applications onto Clouds: Challenges and a CloudStorm Solution

Supporting smart construction with dependable edge computing infrastructures and applications

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