Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06) 2006

DOI: 10.1109/ccgrid.2006.53

|View full text |Cite

|

Sign up to set email alerts

|

Guarantee of Freshness in Resource Information Cache on WSPE: Web Service Polling Engine

¹

,

Masahiro Kawato

²

,

Yoshiharu Maeno

³

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Acknowledgment1

Introduction1

Citation Types

Supporting

0

Mentioning

2

Contrasting

0

Year Published

2007

2007

2010

2010

Publication Types

Select...

Other3

Book1

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

(2 citation statements)

References 6 publications

Supporting

0

Mentioning

2

Contrasting

0

Order By: Relevance

“…We give many thanks to Fumio Machida since his well organized paper [9] helps us a lot on how to write this paper. …”

Section: Acknowledgmentmentioning

confidence: 99%

“…It is widely used to build applications such as grid monitoring in distributed computing environment [3]. However, compared to the traditional low-layered communication techniques, applications based on web service pose performance concerns [9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

To enhance efficiency of Index Service on SGMS: Scalable grid monitoring system

¹

,

²

,

³

et al. 2010

2010 2nd IEEE International Conference on Information Management and Engineering

View full text Add to dashboard Cite

Monitoring gird resources using Web Service is an important issue in grid computing.Although some concern has been given to the Index Service scalability with increasing grid resources, the overhead of processing thousands of resource information requests may cause performance problems in Index service for grid monitoring.This paper proposed a replica scheduling mechanism based on load balancing with adjusted capability to meet the performance requirements of Index Service. We have designed and implemented this mechanism on a Scalable Grid Monitoring System (SGMS) which is WSRF/WSRP-based.From the results of evaluations, we conclude that SGMS can enhance efficiency of Index Service and guarantee high-scalability of Index Service with increasing requests.

“…We give many thanks to Fumio Machida since his well organized paper [9] helps us a lot on how to write this paper. …”

Section: Acknowledgmentmentioning

confidence: 99%

“…It is widely used to build applications such as grid monitoring in distributed computing environment [3]. However, compared to the traditional low-layered communication techniques, applications based on web service pose performance concerns [9].…”

Section: Introductionmentioning

confidence: 99%

To enhance efficiency of Index Service on SGMS: Scalable grid monitoring system

¹

,

²

,

³

et al. 2010

2010 2nd IEEE International Conference on Information Management and Engineering

View full text Add to dashboard Cite

Monitoring gird resources using Web Service is an important issue in grid computing.Although some concern has been given to the Index Service scalability with increasing grid resources, the overhead of processing thousands of resource information requests may cause performance problems in Index service for grid monitoring.This paper proposed a replica scheduling mechanism based on load balancing with adjusted capability to meet the performance requirements of Index Service. We have designed and implemented this mechanism on a Scalable Grid Monitoring System (SGMS) which is WSRF/WSRP-based.From the results of evaluations, we conclude that SGMS can enhance efficiency of Index Service and guarantee high-scalability of Index Service with increasing requests.

Automatic Cache Update Control for Scalable Resource Information Service with WS-Management

et al. 2010

Communications in Computer and Information Science

View full text Add to dashboard Cite

No abstract

Resource Information Cache Update Control for Scalable Access Control Management Systems

¹

,

²

,

³

et al. 2010

2010 IEEE 3rd International Conference on Cloud Computing

View full text Add to dashboard Cite

No abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Product

Browser Extension Assistant by scite Citation Statement Search Reference Check Visualizations Dashboards Explore Journals Explore Organizations Explore Funders Embedding Badge Embedding Citation Search Pricing

Resources

Blog Help & FAQ Accessibility Statement API Terms For Universities & Governments For Researchers For Publishers For Corporate, Pharma & Enterprise Author Marketing Become an Affiliate Get an organization trial or quote scite Data & Services

About

News & Press Careers Read our Paper Coverage

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Copyright © 2024 scite LLC. All rights reserved.

Made with 💙 for researchers

Part of the Research Solutions Family.