Name
Abstract | ||
|---|---|---|
Managing large IT environments is expensive and labour intensive. Maintaining and upgrading with minimal disruption and administrative support has always been a challenging task for system administrators. One challenge faced by IT administrators is arriving at schedules for applying one or more change requests to one of the system components. Most of the time, the impact analysis of the proposed changes is done by humans and is often laborious and error-prone. Although this methodology might be suitable to handle changes that are planned way ahead in time, it is completely inappropriate for changes that need to be done sooner. In addition, such manual handling does not scale well with the size of the IT infrastructure. In this article, the focus is on the problem of scheduling change requests in the presence of organisational policies governing the use of its resources. The authors propose two approaches for change management scheduling and present the implementation details of two prototypes that prove the feasibility of the proposed approaches. Their implementation is integrated with an autonomic manager which they had described in their earlier work. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1080/17517575.2010.482676 | Enterprise IS |
Keywords | Field | DocType |
connected graph,scheduling,change management | Data mining,Change management,Systems engineering,Computer science,Scheduling (computing),Server,Software,Change management (ITSM),Schedule,Information technology management | Journal |
Volume | Issue | ISSN |
4 | 4 | 1751-7575 |
Citations | PageRank | References |
7 | 0.74 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hady S. Abdelsalam | 1 | 84 | 8.17 |
| Kurt Maly | 2 | 567 | 139.93 |
| Ravi Mukkamala | 3 | 244 | 51.60 |
| Mohammad Zubair | 4 | 587 | 89.90 |
| David Kaminsky | 5 | 208 | 34.09 |