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3 edition of Survivable algorithms and redundancy management in NASA"s distributed computing systems found in the catalog.

Survivable algorithms and redundancy management in NASA"s distributed computing systems

Miroslaw Malek

Survivable algorithms and redundancy management in NASA"s distributed computing systems

final technical report

by Miroslaw Malek

  • 269 Want to read
  • 23 Currently reading

Published by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va .
Written in English

    Subjects:
  • Electronic data processing -- Distributed processing.

  • Edition Notes

    StatementMiroslaw Malek.
    SeriesNASA-CR -- 189827., NASA contractor report -- NASA CR-189827.
    ContributionsUnited States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL15367046M

    Distributed Storage Systems Alexandros G. Dimakis, P. Brighten Godfrey, Yunnan Wu, Martin Wainwright and Kannan Ramchandran Abstract—Distributed storage systems provide reliable access to data through redundancy spread over individually unreliable nodes. Application scenarios include data centers, peer-to-peer. cloud computing, algorithms used and its security concerns. In cloud computing, there are many data privacy concerns. Improper disclosure of a business data to third parties is one of the major concerns realized. Encryption should be properly used and the existing .

    Peer-to-peer systems can be characterized as distributed systems in which all nodes have identical capabilities and responsibilities and all communication is symmetric. To guarantee the data, the data redundancy is the main key. However, preserving redundancy in the face of highly dynamic membership is costly.   This paper proposes a distributed detection network deployment algorithm to improve the cover rate of the key area and reduces the number of detection nodes. Firstly, a few detection nodes, sufficient to meet the communication connectivity requirement, are pre-delivered and deployed.

    NAS Management Team. Meet key managers in the NASA Advanced Supercomputing (NAS) Division. Piyush Mehrotra oversees the full range of high-performance computing services for NASA's primary supercomputing center, sets high-level objectives for the division, and coordinates technical strategy with agency management. Arsi Vaziri is. called a Modified Distributed Storage Algorithm (MDSA) to overcome the previous algorithm DSA-I problems. MDSA unicasting instead of multicasting to provide controlled-redundancy of data through the network. A consequence of these modifications, the number of created messages and the energy consumption are both reduced (See Table.1).


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Survivable algorithms and redundancy management in NASA"s distributed computing systems by Miroslaw Malek Download PDF EPUB FB2

Get this from a library. Survivable algorithms and redundancy management in NASA's distributed computing systems: final technical report. [Miroslaw Malek; United States.

National Aeronautics and Space Administration.]. Terms like sensor webs, emNets, and telematics all refer to the marriage of sensors and instruments with network-distributed computing resources.

Command, control, communications, and general management of networks and sensing systems are an immature but rapidly growing field. The software required for redundancy management uses just 3K of memory and around 5% or 6% of each central processor's resources, which is a good trade for the results obtained An increasing need for redundancy and fault tolerance in non-avionics systems such as banks, using automatic tellers and nationwide computer networks, proves the.

Distributed Algorithms computing devices and network components may fail independently, so that some We include a discussion of fault-tolerance in distributed systems and consider several algorithms for reaching agreement in the messages-passing models for settings prone to failures.

Given that global time is. radio communication. As such, a sensor network is an out-of-the-book distributed system (Peleg, ). Distributed algorithms are at the theoretical foundations of distributed systems { we study how the nodes of a distributed system should orchestrate their com-munication and computation in order to solve a given task e ciently.

Moreover. Alternatively, new algorithm designs are also being pursued that specially cater to distributed systems.

For example, particle filters lend themselves very well towards parallelization except for one step called resampling. Thus, the design of new resampling algorithms for distributed implementation is a major step towards efficient system design.

In the classical framework of local distributed network computing, it is generally assumed that the entities executing distributed algorithms are altruistic.

However, in various scenarios, the value of the output produced by an entity may have a tremendous impact on its future. This is for instance the case of tasks such as computing maximal independent sets (MIS) in networks. Dear Colleagues, This Special Issue of Algorithms calls for submissions in the area of distributed algorithms in the cloud and other emergent computing platforms (e.g., edge, fog, IoT, ec.).The goal is to gather recent work on cloud computing and emergent computing platforms, which are relevant topics for many ongoing international funding calls (e.g., ICT European commission call).

Information on NASA systems (Columbia, Palm and Discover) and other systems, as well as computing trends in architecture, networks, and storage devices (multicore CPUs, FPGA, Cell processors, Lambda networks, Infiniband, and others). interoperability of computing systems to provide IT services.

Data security is becoming a fundamental obstruction in cloud are some kind of solution that are provide some security with model, some technology. Cloud computing refers to the delivery of computing resources over the Internet.

Instead of keeping data on your own. Distributed Operating Systems by M. Singhal, and N. Shivratri, McGraw-Hill Publ. Conference proceedings on Network Management Systems, Real-time Dependable Systems, Cloud Services and Computing, and Monitoring and Debugging of Distributed Real-time Systems.

target generator through distributed computing using clustered node processing and the benefits such a target generation system has on future research that utilizes human-in-the-loop simulations. Nomenclature ATG = Airspace Target Generator MACS = Multi-Aircraft Control System ATM = Air Traffic Management FFC = FutureFlight Central.

Announcements in Computing Systems & Technologies. Subject Author Date Actions; Add a new announcement Overview This community is meant as a resource for NASA systems used to build and run Earth Science models.

Use the All Content tab above to view all the latest postings. Systems Analysis Collective impact of concepts and technologies Foundational Project Research Focus Areas: Traffic Flow Management, Dynamic Airspace Con figuration, Separation Assurance, Safe and Efficient Surface Operations, and Super Density Operations To Field Increase maturity, integration, evaluation, tests and field readiness.

Redundancy Algorithms In this section, we specify three redundancy tech-niques: the state-of-the-practice traditional redundancy, the state-of-the-art progressive redundancy, and our novel iterative redundancy.

To characterize the behav-ior of each technique, we derive formulae for two mea-sures of their effect on systems: the system reliability. Peer-to-peer systems can be characterized as distributed systems in which all nodes have identical capabilities and responsibilities and all communication is symmetric.

To guarantee the data, the data redundancy is the main key. However, preserving redundancy in the face of highly dynamic membership is costly. For this, redundancy scheme of. One has to be aware that the increase in complexity caused by redundancy can be quite severe and may diminish the dependability improvement, unless redundant resources are allocated in a proper way.

In this chapter, we consider common single-version and multi-version software fault tolerance techniques, including checkpoint and restart. + Home > About Us > Facilities & Services > Computing Systems Overview.

COMPUTING SYSTEMS OVERVIEW. This table shows the systems and related resources at the NASA Advanced Supercomputing (NAS) Facility and the NASA Center for Climate Simulation (NCCS).

I'm building a distributed storage system that works with different storage sizes. For instance, my storage devices have sizes of 50GB, 70GB, GB, GB, GB, 5 storage systems in one system. My application will store any files to the storage system. HORIZON 5 - Framework for distributed data management and product generation workflow HORIZON 5 is an extensible framework for data management systems.

It is packaged with the following components SIP/AIP: The Open Archival Information System (OAIS) specification defines the framework for information capturing to information distribution. This subtopic seeks advances in tools, techniques, and technologies for distributed information systems and large-scale numerical simulation.

The goal of this work is to create an autonomous information and computing environment that enables NASA scientists to work naturally with distributed teams and resources to dramatically reduce total time-to-solution (i.e., time to discovery.Algorithms and Tools for Science Data Processing, Discovery and Analysis, in State-of-the-Art Data Environments Advances in such algorithms will support science data analysis and decision support systems related to current and future missions, and will support mission concepts for: or distributed computing environments.

In the area of.predicate, temporal and agent) and algorithms for efficiently recognizing event matches. This mechanism has been applied to the management of distributed applications. Introduction This work arose in the context of developing a framework (the Object Infrastructure Framework, or OI1=)to simplify creating distributed applications.