Everything as a Service (XaaS) on the Cloud: Origins, Current and Future Trends

Duan, Yucong; Fu, Guohua; Zhou, Nianjun; Sun, Xiaobing; Narendra, Nanjangud C.; Hu, Bo

doi:10.1109/cloud.2015.88

Cited by 163 publications

(75 citation statements)

References 80 publications

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“…We notice that cloud interoperability was studied, mainly, in SaaS, PaaS, and IaaS, besides other models such as HaaS and DaaS, which are less commonly addressed. HaaS and DaaS models are derived from XaaS, which is Everything as a Service (also known as Anything as a Service).…”

Section: Research Findings and Discussionmentioning

confidence: 99%

A survey on the service interoperability in cloud computing: Client‐centric and provider‐centric perspectives

2020

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The vendor lock-in is a prominent issue in cloud computing. It is caused by cloud providers who offer proprietary services, which hinders the cloud interoperability. Client-centric interoperability enables the migration of the data and applications across clouds; it gives the clients control over their workloads and a wider range of service choices. Whereas, provider-centric interoperability allows the providers to collaborate. Thus, providers, who have spare resources, can lend them to other providers who lack computational or storage capabilities to overcome the limitations of their local resources. In this article, we conduct a survey to differentiate between client-and provider-centric interoperability solutions. We aim to provide an up-to-date analysis of the current tendencies and the neglected areas of the cloud interoperability field. Thus, we study the cloud service interoperability evolution through the years. Furthermore, we propose definitions for the intra-cloud and inter-cloud interoperability. Moreover, we propose a taxonomy to classify the cloud interoperability approaches into client-centric and provider-centric categories. Then, for each category, we classify the approaches based on their interoperability environment into single cloud or interconnected clouds. Finally, we analyze and compare the approaches based on multiple criteria. The study reveals the focus on the client-centric solutions and the interoperability in interconnected clouds. We notice more interest in the data and application levels interoperability, mainly, in infrastructure as a service model. We also find that client-centric solutions are, mostly, semantic technologies and brokers. However, provider-centric solutions are middleware, protocols, and standards. We conclude that a generic cloud service interoperability model is needed.

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Section: Research Findings and Discussionmentioning

confidence: 99%

A survey on the service interoperability in cloud computing: Client‐centric and provider‐centric perspectives

2020

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“…The cloud computing is based on a service-oriented architecture, where "everything is a service". This concept is summarized in the acronym XaaS, which stands for Everything-as-a-Service and includes the cloud services models [81] Cloud web mapping is obviously general purpose and relevant examples in many fields can be found. Mapstory [84], for example, is an infrastructure for "Map Story telling", enabling students, teachers or practitioners to convey their stories using maps and time as glue for their narration.…”

Section: Cloud Web Mapping Eramentioning

confidence: 99%

Review of Web Mapping: Eras, Trends and Directions

Veenendaal

Brovelli

2017

IJGI

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Abstract:Web mapping and the use of geospatial information online have evolved rapidly over the past few decades. Almost everyone in the world uses mapping information, whether or not one realizes it. Almost every mobile phone now has location services and every event and object on the earth has a location. The use of this geospatial location data has expanded rapidly, thanks to the development of the Internet. Huge volumes of geospatial data are available and daily being captured online, and are used in web applications and maps for viewing, analysis, modeling and simulation. This paper reviews the developments of web mapping from the first static online map images to the current highly interactive, multi-sourced web mapping services that have been increasingly moved to cloud computing platforms. The whole environment of web mapping captures the integration and interaction between three components found online, namely, geospatial information, people and functionality. In this paper, the trends and interactions among these components are identified and reviewed in relation to the technology developments. The review then concludes by exploring some of the opportunities and directions.

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“…Real-time embedded systems are becoming widespread, ranging from sensor networks, Internet of Things (IoT) systems, 1,2 and surveillance systems to satellite subsystems. For real-time embedded systems, energy consumption are important design issues, since most of them operate on batteries or drain energy from limited sources.…”

Section: Introductionmentioning

confidence: 99%

Worst-case energy consumption minimization based on interference analysis and bank mapping in multicore systems

Gan

Tan

et al. 2017

International Journal of Distributed Sensor Networks

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Energy is a scarce resource in real-time embedded systems due to the fact that most of them run on batteries. Hence, the designers should ensure that the energy constraints are satisfied in addition to the deadline constraints. This necessitates the consideration of the impact of the interference due to shared, low-level hardware resources such as the cache on the worst-case energy consumption of the tasks. Toward this aim, this article proposes a fine-grained approach to analyze the bank-level interference (bank conflict and bus access interference) on real-time multicore systems, which can reasonably estimate runtime interferences in shared cache and yield tighter worst-case energy consumption. In addition, we develop a bank-to-core mapping algorithm for reducing bank-level interference and improving the worst-case energy consumption. The experimental results demonstrate that our approach can improve the tightness of worst-case energy consumption by 14.25% on average compared to upper-bound delay approach. The bank-to-core mapping provides significant benefits in worst-case energy consumption reduction with 7.23%.

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Everything as a Service (XaaS) on the Cloud: Origins, Current and Future Trends

Cited by 163 publications

References 80 publications

A survey on the service interoperability in cloud computing: Client‐centric and provider‐centric perspectives

A survey on the service interoperability in cloud computing: Client‐centric and provider‐centric perspectives

Review of Web Mapping: Eras, Trends and Directions

Worst-case energy consumption minimization based on interference analysis and bank mapping in multicore systems

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