This document discusses quality of service (QoS) considerations for web services, with a focus on a shares trading web service. It examines several key QoS factors like performance, reliability, and security. Semantic technologies can be used to integrate different data sources and perform financial analysis. Linked open financial data enables comparing firm performance and growth by connecting related market and accounting information.

1. ISYS40061 Service Oriented Cloud Technologies
Answers:
Part A And B Implement Shares Brokering Service
Part C: Quality Of Services Review
In Web Services, quality of functional and non-functional characteristic is referred to as QoS.
It occurs when web applications have an aptitude to add more features as part of
implementation of QoS. It is imperative to note that there are many frameworks under
which QoS can be implemented. A functional QoS framework must have a set of quantifiable
constraints or measurements. Due to their unpredictable and dynamic nature, Web Services
must set up a higher priority on providers of the service they provide.
Shares Trading Webservices QoS Monitoring Graph
They include Service time, Reliability, Execution price, Availability, Scalability, Accessibility,
Performance, Capacity, Integrity, Robustness/Flexibility, Completeness, Regulatory,
Reputation Cost, Accuracy, Transaction, Stability, and Security-Related QoS. Web Services
require a strong understanding of the QoS challenges in order to enhance quality of Web
Services they present to their customers. To determine the QoS in the shares trading
webservice for this assignment, distinct perspectives of Web Services gave possible insight
as to how QoS could be implemented in order to present correct and accurate market
related information.
One of the key indicators of QoS is performance. When QoS is affected, performance too is.
Web Services are considered superior over others if they have been proven to pass the QoS
test. With the support of conventional distributed heterogeneous architecture Web Services
are more likely to attain success by maintaining required standards of QoS. In the case of
shares trading web service in this assignment performance was critical as a measure of QoS.
Through hibernate technology, Shares Trading Web Service is expected to maintain higher

2. performance indices. Addressing these guarantees QoS and trust metric of service request.
Restful API are often used for integration and interoperability across different platforms in
order to provide application-to-application connection and uptodate data sharing. In this
assignment users can sign up to the web service through their email accounts. This was
possible through integrating the application with Google API for authentication of users.
Fast Forex API was also used to fetch correct conversion rates for the webservice. However,
some users may consider an inefficient model or may opt for a bottlenecked bandwidth for
which the running web services may be not be guaranteed therefore resulting in poor QoS.
Thus, web services cannot perform and scale well under these circumstances.
Part D: Semantic Web And Linked Open Data Technologies
Many firms in the world today use intel driven market analysis tools and technologies to
determine their strategic move in the industry. Some are so firm-specific to just that firm
while others are common economic drivers across the spectra. These tools are customized
to address cause factors, co-occurrences and other circumstances affecting firms’
performance. Having a conscience business ecosystem provides for an informed control
over many illustrative variables that play a part. As such, Web and web services are fast
growing to become a huge open environment for data sharing. This trend informs the
common fundamental data analysis methods in the financial ecosystem such as local
financial markets trends which are sometimes considered difficult to integrate and observe
upcoming opportunities.
1) Accounting Data
As a matter of principal financial or accounting data is used to communicate particular
impression about the firm’s performances, in terms of revenues, operational costs, capital
base, etc. The emergence of Extensible Business Reporting Language (XBRL) has made
financial reporting even easier and more accurate. Through its structured data formats and
taxonomies coupled with the reporting tools entry date, reporting dates, currency unit etc.
it offers a rich utilization of semantics. For instance, share trading firms can be identified
using Central Index Key (CIK) from repository.
2) Market Data, Exchange Data
Web services that utilize semantic technology use Financial Information Exchange protocols
to analyze trade-related messages. For instance, they use ‘tag’ would representing a ‘value’
in a syntax to provide a description order. An example of classic securities of Amazon can be
represented as “22 = Amazon” and so forth
Semantic Technology

3. Use of semantic technology help map out trading symbols to some keyword-based on how
they are used by different communities. This made possible by use of social media API like
Facebook and Twitter. According to Li et al., (2011) TwitLogic was used to collect and
translate stock tweets using an RDF data model. The model was able to record data such as
tweet author, stock in tweet, timestamp and link URLs. Using semantic technology, the
researchers were able to details about firm and or stocks to which the tweets were relating
to.
Conclusion
Emergence of advanced web technologies to analyze systematic data and other linked
information on web applications offer a wide range of opportunities to compare firms’
performances, consistency growth etc. Through linked Open Financial Data, it is possible to
determine with accuracy the incremental data from various firms. Since most financial data
relating to market is connected it is therefore easier to simultaneous control it using a wide
range of illustrative variables.
References
Li, Xian & Bao, Jie & Hendler, James. (2011). Fundamental Analysis Powered by Semantic
Web. 10.1109/CIFER.2011.5953565.