resource management in cloud computing and distributed computing shaquille wilkins zak lowman
TRANSCRIPT
Resource Management in Cloud Computing and Distributed Computing
Shaquille WilkinsZak Lowman
ContentsI. Introduction
II. Resource Management Systems
III. Architectures
IV. Risk and Concerns
V. Solutions and Techniques
VI. Conclusion
Introduction
•Cloud Computing technology offers a new concept in computing in which a data can be stored, accessed and altered at alternate execution times on various computers that are all synced.
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Resource Management Systems•The brain of a cloud.
•Resource manager:▫Local machines▫Servers▫Scheduling▫Routing controllers
Architectures
•Centralization
•Grid
•Cell Structure
http://www.adarshpatil.com/cloud/Cloud_Thin_Clients_Adarsh.jpg
GRIDTypes • Computational
▫ Numerals
• Data▫ Data warehousing
• Service
Risk and Concerns
•Data Storage – How much data can we store?
•How to allocate the data?
•Will it be fast enough?
•What makes it better?
•What about performance isolation?
Solutions and Techniques
•Hierarchical Scaling▫Focuses on cluster management
RMSs are built on top of each other in order to reach scale
•Flat Scaling▫Focuses on efficiency checks
Configured to have the most output speed possible. Decisions are made using data collected and aggregated over the large number of hosts and VMs
Examples
•NetSuite's OpenAir▫Invoice, employee time sheet, and expense
management. ▫Dashboard feedback.▫Global.
•Citrix▫Desktop, Application and Server support. ▫Centralizes applications in data warehouse.▫On-demand resources.▫Scalability.
http://www.in-sys.com/images/PartnerLogos/Citrix_corporate_logo.jpg
http://topnews.net.nz/images/netsuite-logo.jpg
Conclusion
Cloud computing is one of the fastest growing technologies of our time. With its expansion, it requires modified protocols and techniques to complete more complicated tasks
References• [1] VMware http://labs.vmware.com/publications/cloud- scale• [2] Ajay Gulati, Ganesha Shanmuganathan,
and Anne Holler http://www.usenix.org/event/hotcloud11/tech/final_files/Gulati.pdf
• [3] Cynthia K. Westhttp://wwpi.com/index.php?option=com_co ntent&view=article&id=7576:case-
study- project-and-resource-management-cloud- computing-with-project-insight-&catid=230:cloud- computing&Itemid=2701186
• [4] VMware Distributed Resource Scheduler - Dynamic Resource Balancing, 2011.
• http://vmware.com/products/drs.• [5] VMware Distributed Resource Scheduler - Dynamic Resource Balancing,
2011.• http://vmware.com/products/drs.• [6] Klaus Krauter, Rajkumar Buyya
http://www.buyya.com/papers/gridtaxonomy.pdf• [7] Chee Shin Yeo and Rajkumar Buyya
http://www.buyya.com/papers/txnomy_clusterms.pdf• [8] Ignacio M. Llorente
http://cloudcomputing.sys-con.com/node/856815