Melbourne Streaming Services Distributed System Case Study 2022

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Melbourne Streaming Services Distributed System Case Study
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Large Distributed Systems and Cloud Computing
A distributed system is made up of autonomous computers that are linked using a
distribution middleware. They assist in allocating different capabilities and resources,
providing users with a common and cohesive coherent network. Traditional centralized
computer architectures are different from distributed systems in several ways. The traditional
architectures are made up of several pieces of hardware such as a desktop computer, linked to
a network through a remote server. The server is basically installed on the building, providing
the workers using the hardware, accessibility to the organization’s stored data and
applications (Mell, 2011). The core differences between traditional computing and
distributed systems include; traditional computing networks apply direct cable connections
and are much quicker than distributed systems that are wireless, traditional architectures are
also more secure when compared to distributed systems which are more difficult to secure
due to their wide scalability and multiple wireless connectivity. Also, the traditional computer
systems are much easier to understand and use especially for individuals with less expertise
on networking and IT since they have less transmission problems. Distributed systems which
incorporate different components make it complex for the common user to comprehend and
use.
Applying security policies to the interdependent system is a great concern in
distributed system. Seen as distributed systems handle sensitive data and information, the
system should integrate strict security and privacy measures. Safeguarding components of the
distributed system including its base resources, communications, storage as well as user
interface I/O are much important issues in distributed systems (Kamal Sheel Mishra,
2014). Transparency is also a key issue for distributed systems. It entails to what extent the
distributed system appears as a single system to the users. Distributed systems ought to be

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designed in a manner that hides the complexity of the system to a great extent. Scalability is
also a primary issue of distributed system. The scaling concern is made up of dimensions
such as communication capacity. The system ought to be developed in a manner that could be
increased with the rising demand on the system.
Distributed systems are significantly different from cloud computing systems in terms
of services they offer to users. The aim of distributed computing is availing collaborative
resource sharing through connecting resources and users. Distributed computing attempts to
offer administrative, size, as well as geographical scalability. Cloud computing, on the other
hand, is concerned with delivering applications or services in on demand environment with
set objectives of acquiring better scalability and transparency (Mell, 2011). Cloud
computing is a technology offering a range of resources as services, especially on the
internet, while distributed computing applies a range of machines and functions as a common
unit in solving a large scale challenge.
Infrastructure Recommendation and Justification
Cloud computing services are divided into three categories; infrastructure-as-a-service
(Iaas), Platform-as-a-service (Paas) and Software-as-a-service (Saas). Iaas are composed of
highly scalable and automatic computer resources. IaaS is a complete self -service offering
accessibility and monitoring of computers, networking, storage as well as other services.
PaaS offers a platform allowing software development. The platform is accessed through the
web. SaaS uses the internet in delivering applications, operated by third-party vendors.
Public clouds
Public clouds involve the cloud services that are offered by third-party providers
through a network that is open for public use. Clients share similar hardware, software and
network devices with others from the same provider. One of the benefits of using public