CCGRID 2009 - PDF Preprint Papers

CCGRID 2009 IEEE International Symposium on Cluster Computing and the Grid

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CCGRID
2009
IEEE

292views Distributed And Parallel Com...» more CCGRID 2009»

Multi-Tiered On-Demand Resource Scheduling for VM-Based Data Center

14 years 4 months ago

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Ying Song, Hui Wang, Yaqiong Li, Binquan Feng, Yuz...

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Id	Views	Title	Status

1	292	Multi-Tiered On-Demand Resource Scheduling for VM-Based Data Center	claim
2	204	On-Demand Resource Provisioning for BPEL Workflows Using Amazon's Elastic Compute Cloud	claim
3	198	C-Meter: A Framework for Performance Analysis of Computing Clouds	claim
4	191	Failure-Aware Construction and Reconfiguration of Distributed Virtual Machines for High Availability Computing	claim
5	179	Multi-scale Real-Time Grid Monitoring with Job Stream Mining	claim
6	177	Natively Supporting True One-Sided Communication in	claim
7	175	Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster	claim
8	169	Harvesting Large-Scale Grids for Software Resources	claim
9	166	Improving Parallel Write by Node-Level Request Scheduling	claim
10	164	Towards Visualization Scalability through Time Intervals and Hierarchical Organization of Monitoring Data	claim
11	159	A Live Storage Migration Mechanism over WAN for Relocatable Virtual Machine Services on Clouds	claim
12	151	Hierarchical Caches for Grid Workflows	claim
13	150	The Eucalyptus Open-Source Cloud-Computing System	claim
14	147	Dynamic Provisioning of Virtual Organization Clusters	claim
15	147	Experiment and Workflow Management Using Cyberaide Shell	claim
16	145	Online Storage and Content Distribution System at a Large Scale: Peer-Assistance and Beyond	claim
17	145	BLAST Application with Data-Aware Desktop Grid Middleware	claim
18	142	Programming Abstractions for Data Intensive Computing on Clouds and Grids	claim
19	140	Framework for Decentralizing Legacy Applications	claim
20	136	Efficient Grid Task-Bundle Allocation Using Bargaining Based Self-Adaptive Auction	claim
21	134	Multicast Trees for Collaborative Applications	claim
22	126	Block-Based Concurrent and Storage-Aware Data Streaming for Grid Applications with Lots of Small Files	claim
23	122	GenLM: License Management for Grid and Cloud Computing Environments	claim
24	122	Markov Model Based Disk Power Management for Data Intensive Workloads	claim
25	120	The Grid Enablement and Sustainable Simulation of Multiscale Physics Applications	claim
26	119	Collusion Detection for Grid Computing	claim
27	119	Towards a Virtual Research Environment for Paediatric Endocrinology across Europe	claim
28	117	Developing Scheduling Policies in gLite Middleware	claim
29	117	Energy-Efficient Cluster Computing via Accurate Workload Characterization	claim
30	116	Performance under Failures of DAG-based Parallel Computing	claim
31	115	Self-Tuning Virtual Machines for Predictable eScience	claim
32	110	Adaptive Resource Indexing Technique for Unstructured Peer-to-Peer Networks	claim
33	108	Resource Allocation Using Virtual Clusters	claim
34	106	File Clustering Based Replication Algorithm in a Grid Environment	claim
35	106	Flexible and Efficient In-Vivo Enhancement for Grid Applications	claim
36	105	AVSS: An Adaptable Virtual Storage System	claim
37	105	Resource Information Aggregation in Hierarchical Grid Networks	claim
38	104	Reliability-Oriented Genetic Algorithm for Workflow Applications Using Max-Min Strategy	claim
39	104	Self-Chord: A Bio-inspired Algorithm for Structured P2P Systems	claim
40	100	Scheduling Strategies for Cycle Scavenging in Multicluster Grid Systems	claim
41	96	Modeling Job Lifespan Delays in Volunteer Computing Projects	claim
42	87	A Clinical Grid Infrastructure Supporting Adverse Hypotensive Event Prediction	claim
43	78	An E-infrastructure to Support Collaborative Embryo Research	claim

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