83 research outputs found
Case Studies for achieving a Return on Investment with a Hardware Refresh in Organizations with Small Data Centers
Data centers have been highlighted as a major energy consumer and there has been an increasing trend towards the consolidation of smaller data centers into larger facilities. Yet, small data centers exist for a variety of reasons and account for a significant portion of the total number of servers in the US. Frequent refreshes of IT hardware has emerged as a trend in hyper-scale data centers but little attention has been paid to how these savings can be achieved in small data centers. This work provides a comprehensive framework for the energy saving opportunities, while determining when a return on investment can be achieved to enable small data center operators to create credible business cases for hardware refreshes. Various data center deployment scenarios are used as case studies (based on real-life datasets) to validate the proposed concepts
A NUI Based Multiple Perspective Variability Modelling CASE Tool
With current trends towards moving variability from hardware to
software, and given the increasing desire to postpone design decisions as much
as is economically feasible, managing the variability from requirements
elicitation to implementation is becoming a primary business requirement in the
product line engineering process. One of the main challenges in variability
management is the visualization and management of industry size variability
models. In this demonstration, we introduce our CASE tool, MUSA. MUSA is
designed around our work on multiple perspective variability modeling and is
implemented using the state-of-the-art in NUI, multi-touch interfaces, giving it
the power and flexibility to create and manage large-scale variability models
with relative ease
SWOT Analysis of Information Security Management System ISO 27001
Information security is a main concern for many organisations with no signs of decreasing urgency in the coming years. To address this a structured approach is required, with the ISO 27000 series being one of the most popular practices for managing Information Security. In this work, we used a combination of qualitative research methods to conduct a SWOT analysis on the ISMS. The findings from the SWOT were then validated using a survey instrument. Finally, the results were validated and analysed using statistical methods. Our findings show that there was a generally positive view on the 'Strengths' and 'Opportunities' compared to that of 'Weaknesses' and 'Threats'. We identified statistically significant differences in the perception of 'Strengths' and 'Opportunities' across groups but also found that there is no significant variance in the perception of 'Threats'. The SWOT produced will help practitioners and researchers tailor ways to enhance ISMS using existing techniques such as TOWS matrix
A Scalable Multiple Perspective Variability Management CASE Tool
One of the main challenges in variability
management is the visualization and management of industry
size variability models. In this work, we introduce our CASE
tool MUSA that uses a multiple perspective approach to
variability modeling and is implemented using state-of-the-art
multi-touch interfaces. This gives it the power and flexibility to
create and manage large-scale variability models
Case Studies for achieving a Return on Investment with a Hardware Refresh in Organizations with Small Data Centers
Using a Software Product Line Approach in Designing Grid Services
Software Product Line engineering (SPL) has emerged in recent years as a planned approach for
software reuse within families of related software products. In SPL, variability and commonality
among different members of a family is studied and core assists (system architecture, software
components, documentation, etc.) are designed accordingly to maximize reuse within the family
members. In this work, we look at how this emerging technology can be relevant to the domain of
grid computing and the design of grid services. The GeneGrid project is used to demonstrate the
SPL approach
GSi Compliant RAS for Public Private Sector Partnership
With the current trend of moving intelligent services and administration towards the
public private partnership, and the security controls that are currently in place, the shareable
data modeling initiative has become a controversial issue. Existing applications often rely on
isolation or trusted networks for their access control or security, whereas untrusted wide area
networks pay little attention to the authenticity, integrity or confidentiality of the data they
transport. In this paper, we examine the issues that must be considered when providing network
access to an existing probation service environment. We describe how we intend to implement
the proposed solution in one probation service application. We describe the architecture that
allows remote access to the legacy application, providing it with encrypted communications and
strongly authenticated access control but without requiring any modifications to the underlying application
A Cost Effective Cloud Datacenter Capacity Planning Method Based on Modality Cost Analysis
In resource provisioning for datacenters, an important
issue is how resources may be allocated to an application such that
the service level agreements (SLAs) are met. Resource provisioning
is usually guided by intuitive or heuristic expectation of performance
and existing user model. Provisioning based on such methodology,
however, usually leads to more resources than are actually
necessary. While such overprovisioning may guarantee performance,
this guarantee may come at a very high cost. A quantitative
performance estimate may guide the provider in making informed
decisions about the right level of resources, so that acceptable
service performance may be provided in a cost-effective manner. A
quantitative estimate of application performance must consider its
workload characteristics. Due to the complex workload
characteristics of commercial software, estimation of its performance
and provisioning to optimize for cost is not straightforward. In this
work we looked at breaking the application into isolated modalities
(modality is a scenario in which an application is used, for example,
instant messaging, and voice calls are two different modalities of a
media application) and measuring resource cost per modality as an
effective methodology to provision datacenters to optimize for
performance and minimize cost. When breaking the application into
modalities, resource cost is assessed in isolation. Results are then
aggregated to estimate the overall resource provisioning
requirements. A validation tool is used to simulate the load and
validate the assumptions. This was applied to a commercially
available solution and validated in a datacenter setting
Modality Cost Analysis Based Methodology for Cost Effective Datacenter Capacity Planning in the Cloud
In resource provisioning for datacenters, an important issue is how resources may
be allocated to an application such that the service level agreements (SLAs) are
met. Resource provisioning is usually guided by intuitive or heuristic expectation
of performance and existing user model. Provisioning based on such methodology,
however, usually leads to more resources than are actually necessary. While such
overprovisioning may guarantee performance, this guarantee may come at a very
high cost. A quantitative performance estimate may guide the provider in making
informed decisions about the right level of resources, so that acceptable service
performance may be provided in a cost-effective manner. A quantitative estimate
of application performance must consider its workload characteristics. Due to the
complex workload characteristics of commercial software, estimation of its
performance and provisioning to optimize for cost is not straightforward. In this
work we looked at breaking the application into isolated modalities (modality is a
scenario in which an application is used, for example, instant messaging, and voice
calls are two different modalities of a media application) and measuring resource
cost per modality as an effective methodology to provision datacenters to optimize
for performance and minimize cost. When breaking the application into modalities,
resource cost is assessed in isolation. Results are then aggregated to estimate the
overall resource provisioning requirements. A validation tool is used to simulate
the load and validate the assumptions. This was applied to a commercially
available solution and validated in a datacenter setting
Using an Architecture Description Language to Model a Large- Scale Information System – An Industrial Experience Report
An organisation that had developed a large Information System wanted to embark on a programme of significant evolution for the system. As a precursor to this, it was decided to create a comprehensive architectural
description. T his undertaking faced a number of challenges, including a low general awareness of software modelling and software architecture practices . The approach taken for this
project included the definition of a simple, specific, architecture description language. This paper describes the experiences of the project and the ADL created as part of it
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