Integrating Reservations and Queuing in Remote Laboratory Scheduling
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| Title: | Integrating Reservations and Queuing in Remote Laboratory Scheduling |
|---|---|
| Language: | English |
| Authors: | Lowe, D. |
| Source: | IEEE Transactions on Learning Technologies. Jan-Mar 2013 6(1):73-84. |
| Availability: | Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4620076 |
| Peer Reviewed: | Y |
| Page Count: | 12 |
| Publication Date: | 2013 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Laboratories, Distance Education, Shared Resources and Services, Scheduling, Computer Uses in Education, Resource Allocation, Higher Education, Case Studies, Foreign Countries, Educational Technology, Program Evaluation, Performance, Program Effectiveness |
| Geographic Terms: | Australia |
| DOI: | 10.1109/TLT.2013.5 |
| ISSN: | 1939-1382 |
| Abstract: | Remote laboratories (RLs) have become increasingly seen as a useful tool in supporting flexible shared access to scarce laboratory resources. An important element in supporting shared access is coordinating the scheduling of the laboratory usage. Optimized scheduling can significantly decrease access waiting times and improve the utilization level of RL resources, with associated reductions in per-use costs. Current RL systems have typically supported scheduling based on either reservations or queuing, though rarely both. In this paper, we investigate issues that arise when a single RL resource (or pool of resources) supports both modes for gaining access, and how these two approaches can be effectively integrated. This research analyzes the scheduling algorithm utilized by the Sahara RL system to investigate any limitations that affect the system utilization. We identify a number of current issues and propose specific modifications to address them. The proposed modifications will lead to increased utilization and improved student experiences. |
| Abstractor: | As Provided |
| Number of References: | 37 |
| Entry Date: | 2014 |
| Accession Number: | EJ1016719 |
| Database: | ERIC |
| FullText | Text: Availability: 0 |
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| Header | DbId: eric DbLabel: ERIC An: EJ1016719 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrating Reservations and Queuing in Remote Laboratory Scheduling – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lowe%2C+D%2E%22">Lowe, D.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22IEEE+Transactions+on+Learning+Technologies%22"><i>IEEE Transactions on Learning Technologies</i></searchLink>. Jan-Mar 2013 6(1):73-84. – Name: Avail Label: Availability Group: Avail Data: Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4620076 – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 12 – Name: DatePubCY Label: Publication Date Group: Date Data: 2013 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Laboratories%22">Laboratories</searchLink><br /><searchLink fieldCode="DE" term="%22Distance+Education%22">Distance Education</searchLink><br /><searchLink fieldCode="DE" term="%22Shared+Resources+and+Services%22">Shared Resources and Services</searchLink><br /><searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Uses+in+Education%22">Computer Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+Allocation%22">Resource Allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Case+Studies%22">Case Studies</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Program+Evaluation%22">Program Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Performance%22">Performance</searchLink><br /><searchLink fieldCode="DE" term="%22Program+Effectiveness%22">Program Effectiveness</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Australia%22">Australia</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.1109/TLT.2013.5 – Name: ISSN Label: ISSN Group: ISSN Data: 1939-1382 – Name: Abstract Label: Abstract Group: Ab Data: Remote laboratories (RLs) have become increasingly seen as a useful tool in supporting flexible shared access to scarce laboratory resources. An important element in supporting shared access is coordinating the scheduling of the laboratory usage. Optimized scheduling can significantly decrease access waiting times and improve the utilization level of RL resources, with associated reductions in per-use costs. Current RL systems have typically supported scheduling based on either reservations or queuing, though rarely both. In this paper, we investigate issues that arise when a single RL resource (or pool of resources) supports both modes for gaining access, and how these two approaches can be effectively integrated. This research analyzes the scheduling algorithm utilized by the Sahara RL system to investigate any limitations that affect the system utilization. We identify a number of current issues and propose specific modifications to address them. The proposed modifications will lead to increased utilization and improved student experiences. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: Ref Label: Number of References Group: RefInfo Data: 37 – Name: DateEntry Label: Entry Date Group: Date Data: 2014 – Name: AN Label: Accession Number Group: ID Data: EJ1016719 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1016719 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TLT.2013.5 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 73 Subjects: – SubjectFull: Laboratories Type: general – SubjectFull: Distance Education Type: general – SubjectFull: Shared Resources and Services Type: general – SubjectFull: Scheduling Type: general – SubjectFull: Computer Uses in Education Type: general – SubjectFull: Resource Allocation Type: general – SubjectFull: Higher Education Type: general – SubjectFull: Case Studies Type: general – SubjectFull: Foreign Countries Type: general – SubjectFull: Educational Technology Type: general – SubjectFull: Program Evaluation Type: general – SubjectFull: Performance Type: general – SubjectFull: Program Effectiveness Type: general – SubjectFull: Australia Type: general Titles: – TitleFull: Integrating Reservations and Queuing in Remote Laboratory Scheduling Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lowe, D. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 1939-1382 Numbering: – Type: volume Value: 6 – Type: issue Value: 1 Titles: – TitleFull: IEEE Transactions on Learning Technologies Type: main |
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