Proceedings of the 17th International Symposium on High-Performance Parallel and Distributed Computing
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Manish Parashar, Karsten Schwan, Jon B. Weissman, Domenico Laforenza
Proceedings of the 17th International Symposium on High-Performance Parallel and Distributed Computing
HPDC, 2008.

SYS
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@proceedings{HPDC-2008,
	address       = "Boston, Massachusetts, USA",
	editor        = "Manish Parashar and Karsten Schwan and Jon B. Weissman and Domenico Laforenza",
	isbn          = "978-1-59593-997-5",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 17th International Symposium on High-Performance Parallel and Distributed Computing}",
	year          = 2008,
}

Event page: http://www.hpdc.org/2008

Contents (35 items)

HPDC-2008-HupfeldKSHCMM #fault tolerance #named #scalability
FaTLease: scalable fault-tolerant lease negotiation with paxos (FH, BK, JS, MH, TC, JM, JM), pp. 1–10.
HPDC-2008-SmithSF #grid
Securing stateful grid servers through virtual server rotation (MS, CS, BF), pp. 11–22.
HPDC-2008-RamakrishnanR #fault tolerance #modelling #scheduling #workflow
Performability modeling for scheduling and fault tolerance strategies for scientific workflows (LR, DAR), pp. 23–34.
HPDC-2008-NathUS #data-driven
Evaluating the usefulness of content addressable storage for high-performance data intensive applications (PN, BU, AS), pp. 35–44.
HPDC-2008-YanR #automation #clustering #parallel #towards
Toward automatic parallelization of spatial computation for computing clusters (BY, PJR), pp. 45–54.
HPDC-2008-BarkerWH #data flow #peer-to-peer
Eliminating the middleman: peer-to-peer dataflow (AB, JBW, JIvH), pp. 55–64.
HPDC-2008-AidaC #scheduling
Scheduling mixed-parallel applications with advance reservations (KA, HC), pp. 65–74.
HPDC-2008-NurmiWB #named
VARQ: virtual advance reservations for queues (DN, RW, JB), pp. 75–86.
HPDC-2008-SotomayorKF #execution #using #virtual machine
Combining batch execution and leasing using virtual machines (BS, KK, ITF), pp. 87–96.
HPDC-2008-IosupSAE #distributed #performance #scalability
The performance of bags-of-tasks in large-scale distributed systems (AI, OOS, SA, DHJE), pp. 97–108.
HPDC-2008-WangWG #named #network #performance
XenLoop: a transparent high performance inter-vm network loopback (JW, KLW, KG), pp. 109–118.
HPDC-2008-NathujiS #virtual machine
Vpm tokens: virtual machine-aware power budgeting in datacenters (RN, KS), pp. 119–128.
HPDC-2008-GangulyBWF
Improving peer connectivity in wide-area overlays of virtual workstations (AG, POB, DW, RJOF), pp. 129–140.
HPDC-2008-YouseffSYDW #algebra #kernel #linear #memory management
The impact of paravirtualized memory hierarchy on linear algebra computational kernels and software (LY, KS, HY, JD, RW), pp. 141–152.
HPDC-2008-DoraimaniI #data transformation #lessons learnt
File grouping for scientific data management: lessons from experimenting with real traces (SD, AI), pp. 153–164.
HPDC-2008-Al-KiswanyGSYR #distributed #named
StoreGPU: exploiting graphics processing units to accelerate distributed storage systems (SAK, AG, ESN, GY, MR), pp. 165–174.
HPDC-2008-BalajiFL #distributed #framework #semantics
Semantic-based distributed i/o with the paramedic framework (PB, WcF, HL), pp. 175–184.
HPDC-2008-XiaFJTW #approach #correlation #evaluation #file system #mining #named #novel #optimisation #performance
FARMER: a novel approach to file access correlation mining and evaluation reference model for optimizing peta-scale file system performance (PX, DF, HJ, LT, FW), pp. 185–196.
HPDC-2008-DiamosY #execution #named #runtime
Harmony: an execution model and runtime for heterogeneous many core systems (GFD, SY), pp. 197–200.
HPDC-2008-FigueiredoBJW #ad hoc #deployment #network #social
Facilitating the deployment of ad-hoc virtual organizations with integrated social and overlay networks (RJOF, POB, PSJ, DW), pp. 201–204.
HPDC-2008-GuptaBG #framework #grid #ontology #query
Ontological framework for a free-form query based grid search engine (CG, RB, MG), pp. 205–208.
HPDC-2008-RaoHK #approach #peer-to-peer
An unstructured peer-to-peer approach to aggregate node selection (IR, AH, SK), pp. 209–212.
HPDC-2008-Santos-NetoAAGR #metadata #optimisation
enabling cross-layer optimizations in storage systems with custom metadata (ESN, SAK, NA, SG, MR), pp. 213–216.
HPDC-2008-CarreraSWTA #using
Managing SLAs of heterogeneous workloads using dynamic application placement (DC, MS, IW, JT, EA), pp. 217–218.
HPDC-2008-DocanPK #named
DART: a substrate for high speed asynchronous data IO (CD, MP, SK), pp. 219–220.
HPDC-2008-DrostNMB #distributed #parallel
Resource tracking in parallel and distributed applications (ND, RvN, JM, HEB), pp. 221–222.
HPDC-2008-HeSWF #approximate #automation #performance #recognition #test coverage
Code coverage, performance approximation and automatic recognition of idioms in scientific applications (JH, AS, RFVdW, MAF), pp. 223–224.
HPDC-2008-KhannaCKSSKF #data transfer #multi #network #optimisation #using
Multi-hop path splitting and multi-pathing optimizations for data transfers over shared wide-area networks using gridFTP (GK, ÜVÇ, TMK, PS, JHS, RK, ITF), pp. 225–226.
HPDC-2008-LaforenzaNS #collaboration #ranking #workflow
Collaborative ranking of grid-enabled workflow service providers (DL, FMN, FS), pp. 227–228.
HPDC-2008-ManosMKCKT #distributed #performance #using
Distributed mpi cross-site run performance using mpig (SM, MDM, OK, PVC, NTK, BRT), pp. 229–230.
HPDC-2008-PasqualiBCRL #scalability
A two-level scheduler to dynamically schedule a stream of batch jobs in large-scale grids (MP, RB, GC, LR, DL), pp. 231–232.
HPDC-2008-RichT #named #transaction
DataLab: transactional data-parallel computing on an active storage cloud (BR, DT), pp. 233–234.
HPDC-2008-ShafaatSMHGR #consistency #network
Key-based consistency and availability in structured overlay networks (TMS, TS, MM, SH, AG, AR), pp. 235–236.
HPDC-2008-ShiPRJJ #adaptation #fault tolerance #grid #named #safety #using
Dynasa: adapting grid applications to safety using fault-tolerant methods (XS, JLP, ER, HJ, HJ), pp. 237–238.
HPDC-2008-ShrinivasN #data mining #detection #grid #mining
Issues in applying data mining to grid job failure detection and diagnosis (LS, JFN), pp. 239–240.

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