Everything as a Service: Powering the New Information Economy

Banerjee, P.; Friedrich, Rich; Bash, Cullen; Goldsack, Patrick; Huberman, Bernardo A.; Manley, John; Patel, Chandrakant D.; Ranganathan, Parthasarathy; Veitch, Alistair

doi:10.1109/mc.2011.67

Cited by 168 publications

(68 citation statements)

References 8 publications

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“…"IT as a Service (ITaaS) (M)" (2011), Alabbadi [4] proposed it for application and IT users since Cloud Computing means provision IT as a Service (ITaaS). "IT Management as a Service (D)" (2011), Banerjee et al [8] proposed that the IT management services is a delivering technologies. "Capabilities as a Service (D)" (2011), Subashini and Kavitha [81] referred that Gartner defines cloud computing as s style of computing where massively scalable IT-enabled capabilities are delivered "as a service".…”

Section: Other Classificationmentioning

confidence: 99%

Sorting Terms of “aaS” of Everything as a Service

Duan¹,

Sun²,

Longo³

et al. 2016

IJNDC

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Numerous service models have been proposed in the form of "as a Service" or "aaS" in the past. This is especially eminent in the era of the Cloud under the term of anything as a service or everything as a service(XaaS). A unified view of XaaS can aid efficient classification of services for service registration, discovery, and composition. In view of that there lacks such a unified view which is demanded by systematic application of XaaS in the Web Service Ecosystem, towards proposing a taxonomy of "aaS", we present in this work a collection of "aaS" based on a throughout literature survey. We also proposed a strategy to identify the terms from the servicelization perspective.

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Section: Other Classificationmentioning

confidence: 99%

Sorting Terms of “aaS” of Everything as a Service

Duan¹,

Sun²,

Longo³

et al. 2016

IJNDC

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“…The advent of cloud computing introduced the concept of providing resources as services. Infrastructure-as-a-service, Platform-as-a-service, and Software-as-a-service were service models that were introduced to efficiently disseminate and use resources on the scale of the Web [12], [13]. WoT research initiatives makes it possible for real-world things to communicate, collaborate, and make autonomous decisions where the lack of capabilities of real-world things are substituted by cloud-based services [7].…”

Section: Background and Related Workmentioning

confidence: 99%

From the Internet of Things to the web of things — enabling by sensing as-a service

Mathew

Atif

Barachi

2016

2016 12th International Conference on Innovations in Information Technology (IIT)

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Abstract-Sensing as a Service (SenaaS) is emerging as a prominent element in the middleware linking together the Internet of Things (IoT) and the Web of Things (WoT) layers of future ubiquitous systems. An architecture framework is discussed in this paper whereby things are abstracted into services via embedded sensors which expose a thing as a service. The architecture acts as a blueprint to guide software architects realizing WoT applications. Web-enabled things are eventually appended into Web platforms such as Social Web platforms to drive data and services that are exposed by these things to interact with both other things and people, in order to materialize further the future social Web of Things. A case study is discussed to illustrate the integration of SenaaS into the proposed WoT architectural framework.

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“…Various models of holistic infrastructure services for cloud computing have been proposed [10,[27][28][29]. Perhaps the proposals in [27,29] and [28] are the closest to the approach in this article.…”

Section: Related Workmentioning

confidence: 99%

“…We refer to this model as Virtual CellsAs-A-Service (vCAAS) and each container as a vCell. The paper proposes a strategy similar to the research in [10,11]. vCAAS is an IAAS/PAAS model enabled with application specific resource management functionalities such as provisioning, job allocation, and holistic optimization [12].…”

Section: Introductionmentioning

confidence: 99%

Self-service infrastructure container for data intensive application

Musa

Walker

Owen

et al. 2014

Journal of Cloud Computing: Advances, Systems and Applications

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Cloud based scientific data management -storage, transfer, analysis, and inference extraction -is attracting interest. In this paper, we propose a next generation cloud deployment model suitable for data intensive applications. Our model is a flexible and self-service container-based infrastructure that delivers -network, computing, and storage resources together with the logic to dynamically manage the components in a holistic manner. We demonstrate the strength of our model with a bioinformatics application. Dynamic algorithms for resource provisioning and job allocation suitable for the chosen dataset are packaged and delivered in a privileged virtual machine as part of the container. We tested the model on our private internal experimental cloud that is built on low-cost commodity hardware. We demonstrate the capability of our model to create the required network and computing resources and allocate submitted jobs. The results obtained shows the benefits of increased automation in terms of both a significant improvement in the time to complete a data analysis and a reduction in the cost of analysis. The algorithms proposed reduced the cost of performing analysis by 50% at 15 GB of data analysis. The total time between submitting a job and writing the results after analysis also reduced by more than 1 hr at 15 GB of data analysis.

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Everything as a Service: Powering the New Information Economy

Cited by 168 publications

References 8 publications

Sorting Terms of “aaS” of Everything as a Service

Sorting Terms of “aaS” of Everything as a Service

From the Internet of Things to the web of things — enabling by sensing as-a service

Self-service infrastructure container for data intensive application

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