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Abstract
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.
Highlights
Various emerging trends especially Cloud Computing [6] and Big Data analysis can be increasingly identified by different “as a Service” in providing everything as a service(XaaS) [36; 75]
Based on the hypothesis that the classification under the name of “aaS” partially reflects the trends of natural evolution of services sharing common characteristics, we present in this work our effort of literature survey towards describing a technical classification of various “aaS”
In 2014, Bitterman et al [13] proposed Integrated Authentication, Authorization and Accounting (AAA) services provision through a common Active Directory server. ”Network Protocol as a Service (M)” (2011), Feng et al [38] proposed Networking as a Service by combining the service provision model of cloud computing with the openness of the network protocol. ”Routing as a Service (RaaS) (E)” (2011), Chen et al [21] proposed it as a framework for tenantDirected route control in data center. ”IP Networks as a Service (E)” and Virtual Routers as a Service (E)] (2011), Nascimento et al [64] proposed that virtual routers and IP networks as a service. ”Hybrid
Summary
Various emerging trends especially Cloud Computing [6] and Big Data analysis can be increasingly identified by different “as a Service (aaS)” in providing everything as a service(XaaS) [36; 75]. In the past years related terms are used in a discretionary way creating some entropy [36; 36; 91] This should be avoided with unified classification. The survey covers literature with content including explicitly focused “aaS” marked with ”E”, mentioned “aaS” marked with ”M” and implicitly derived “aaS” marked with ”I” from traditional areas to IT applications. We expect this work can initiate a profound discussion on the future trend of business service opportunities, IoT service development, trend of service migration to Cloud, and Big Data service analysis
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