| Title | Date Added | Company | |
|---|---|---|---|
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Planning-Based Scheduling for SLA-Awareness and Grid Integration | 2007-11-19 | University of Paderborn |
| Service Level Agreements (SLAs) are powerful instruments for describing all obligations and expectations in a business relationship. It is of focal importance for deploying Grid technology to commercial applications. The EC-funded project HPC4U (Highly Predictable Clusters for Internet Grids) aimed at introducing SLA-awareness in local resource management systems, while the EC-funded project AssessGrid introduced the notion of risk, which is associated with every business contract. This paper highlights the concept of planning based resource management and describes the SLA-aware scheduler developed and used in these projects.
Tags: SLA, High Performance Computing |
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On Parameter Tuning of Data Transfer Protocol GridFTP for Wide-Area Grid Computing | 2007-11-16 | Osaka University |
| In wide-area Grid computing, geographically distributed computational resources are connected for enabling efficient and large-scale scientific/engineering computations. In the wide-area Grid computing, a data transfer protocol called GridFTP has been commonly used for large file transfers. GridFTP has the following features for solving problems of the existing TCP. First, for accelerating the start-up in TCP's slow start phase and achieving high throughput in TCP's congestion avoidance phase, multiple TCP connections can be established in parallel. Second, according to the bandwidth-delay product of a network, the TCP socket buffer size can be negotiated between GridFTP server and client. However, in the literature, sufficient investigation has not been performed either on the optimal number of TCP connections or the optimal TCP socket buffer size.
Tags: TCP - IP, High Performance Computing |
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Red Hat Enterprise MRG: Realtime Whitepaper | 2007-11-16 | Red Hat |
| Many enterprise workloads have extremely demanding requirements for determinism - to ensure predictable response times at the 20 microsecond latency level. The difficulty has been that until now, all realtime operating systems have been niche offerings - absent of any COTS (Commercial Off The Shelf) products. Red Hat is uniquely positioned to provide these capabilities due to its proven trackrecord of development and mainstream accepted Linux kernel realtime enhancements. In response to strong customer demand, Red Hat is productizing its realtime kernel in an offering called Red Hat Enterprise MRG, comprised of high speed messaging, realtime kernel, and grid cluster scheduler.
Tags: High Performance Computing |
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Virtual Machine Aware Communication Libraries for High Performance Computing | 2007-11-16 | Association for Computing Machinery |
| As the size and complexity of modern computing systems keep increasing to meet the demanding requirements of High Performance Computing (HPC) applications, manageability is becoming a critical concern to achieve both high performance and high productivity computing. Meanwhile, Virtual Machine (VM) technologies have become popular in both industry and academia due to various features designed to ease system management and administration. This paper follows three steps to demonstrate the ability to achieve near-native performance in a VM-based environment for HPC. First, they propose Inter-VM Communication (IVC). Second, they design a VM-aware MPI library based on MVAPICH2 (a popular MPI library) Finally, they evaluate MVAPICH2-ivc on clusters featuring multi-core systems and high performance InfiniBand interconnects.
Tags: Virtualization |
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Virtuozzo from Parallels: Greener Virtualization | 2008-03-07 | Parallels |
| Managers at all levels are becoming aware of the substantial amount of energy required to power and cool a datacenter. Server virtualization is one way datacenter managers can reduce the amount of energy consumed--by eliminating underutilized servers.
Parallels Virtuozzo is the only solution that delivers maximum energy efficiency through its unique architecture. Read this white paper to see how Virtuozzo can help make the most of your green computing initiative. Tags: Data Center, Cost Control - Risk Mgmt., High Performance Computing, Virtualization, Green IT |
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JECho - Interactive High Performance Computing With Java Event Channels | 2007-11-07 | Georgia Institute of Technology |
| This paper presents JECho, a Java-based communication infrastructure for collaborative high performance applications. JECho implements a publish/subscribe communication paradigm, permitting distributed concurrent sets of components to provide interactive service to collaborating end users via event channels. JECho's eager handler concept allows individual event subscribers to dynamically tailor event flows to adapt to runtime changes in component behaviors and needs, and to changes in platform resources. Benchmark results suggest that JECho may be used for building large-scale, high-performance event delivery systems, which can efficiently adapt to changes in user needs or the environment using eager handlers.
Tags: Programming Languages, High Performance Computing |
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Running Scientific Data Centers: Five Underappreciated Challenges | 2007-11-06 | Tabor Communications |
| As data centers strive to add computational resources to meet the demands of their High Productivity Computing (HPC) applications, they encounter challenges that go well beyond their basic constraints. Tabor Research believes there are five primary challenges that are frequently underappreciated at the time of system acquisition, leading to inefficiencies or barriers to expansion. In this white paper Tabor Research examines each of these challenges and suggests frameworks for addressing these concerns in advance, before they become limiting factors for scientific data centers.
Tags: High Performance Computing |
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GridTorrent Framework: A High-Performance Data Transfer and Data Sharing Framework for Scientific Computing | 2007-11-05 | Indiana University |
| Large amount of data that is often stored in many thousands of files is created as part of today's geographically distributed scientific computation and collaboration environments. Managing and transferring large volumes of data sets present a significant challenge and are often a bottleneck in the scientific computing community. This paper introduces an architecture to manage data distributions in a collaborative fashion through a GridTorrent Framework (GTF) whose data transfer mechanism inspired by Bittorrent. This paper presents performance experiment data that compares the framework to Parallel TCP (PTCP) and Bittorrent. Experimental results conducted suggest that using GridTorrent for large data set has significant advantages over parallel TCP in LAN and WAN type of computer networks.
Tags: High Performance Computing, Data Sharing and Integration |
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Systems Engineering for High Performance Computing Software: The HDDA/DAGH Infrastructure for Implementation of Parallel Structured Adaptive Mesh Refinement | 2007-11-05 | University of Texas |
| This paper defines, describes and illustrates a systems engineering process for development of software systems implementing high performance computing applications. The example which drives the creation of this process is development of a flexible and extendible program development infrastructure for parallel structured adaptive meshes, the HDDA/DAGH package. The fundamental systems engineering principles used (hierarchical abstractions based on separation of concerns) are well-known but are not commonly applied in the context of high performance computing software. Application of these principles will be seen to enable implementation of an infrastructure which combines breadth of applicability and portability with high performance.
Tags: Software Engineering, High Performance Computing |
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TechRepublic Resource Guide: Data Warehousing and Business Intelligence | 2007-11-01 | TechRepublic |
As more and more data is being created and converted to digital streams, businesses need a way to consolidate and harness all of it. That's where a data warehouse comes in. Once they've got all of that data connected, they need a way to tap into it for powerful reporting and forecasting. That's what business intelligence is for, as this TechRepublic Resource Guide will explain. Download this Resource Guide to learn more about:
Note: This premium editorial content is underwritten by IBM. The registration information you provide will be shared with this sponsor.
Tags: Data Center, Business Intelligence - Data Warehousing, High Performance Computing |
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