HCE project Distributed Remote Command Execution
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The document describes the Hierarchical Cluster Engine (HCE), which enables distributed remote command execution (DRCE) across a cluster. DRCE allows algorithms and code to be distributed to lower level nodes for parallel execution. The cluster architecture defines how tasks are planned and executed across nodes. HCE supports small and medium sized tasks and can reduce results data through collecting and further processing results across nodes. Key principles of HCE include a flexible network cluster structure, stable messaging using ZMQ sockets, asynchronous message handling, and language bindings via ZMQ.
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© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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SDN Multi-Controller Domain.pptx
The main scope of up-gradation to the advanced computer networks is to make the technical advancement in the network management and so managing the traffic control (that is the control plane and data or forwarding plane) while abridging it in the Multi-Controller Domain. SDN refers to the isolation of the network control plane from the forwarding plane, with a control plane overseeing many networking systems. This paper investigates how new improvements in SDN and the programmability of networks can be helpful to abridge tasks, improve dexterity, and encounter new task necessities within the U.S. Department of Defense (DoD) and open networks. These improvised network services across the digital network entail a multi-controller domain. This paper represents the research in SDN and multi-controller domain, aiming at OpenFlow Protocol and its upcoming challenging tasks.
journal of mathematics research
Our journal is official publication of the Utilitas mathematical journal original research articles and aspect of both the pure and applied mathematics. UMJ coverage extends to Operations Research, Mathematical Economics, Mathematics Biology and Computer Science. our Journal has became fully open access Journal.
journalism research paper
our journal publishes original research and review articles on all aspects of both pure and applied mathematics. It's publish Algebra,Analysis,Geometry,Topology,Number Theory,Differential Equations etc. UMJ coverage extends to Operations Research, Mathematical Economics, Mathematics Biology and Computer Science.
journal in research
Utilitas Mathematica Journal has a original research in all areas of pure and applied mathematics.UMJ coverage extends to Operations Research, Mathematical Economics, Mathematics Biology and Computer Science.It enjoys good reputation and popularity at international level in terms of research papers and distribution worldwide.
journal to publish research paper
Utilitas Mathematica Journal the journal publishes original research in all areas of pure and applied mathematics, statistics Algebra,Topology,Differential Equations,Mathematical Physics Utilitas Mathematica international level in terms of research provides worldwide.
https://utilitasmathematica.com/index.php/Index
research on journaling
This document discusses a proposed spiking neural network (SNN) approach for dynamic resource allocation in software defined networking (SDN). The SNN would allocate bandwidth resources among network slices based on demand. It analyzes past traffic data using an online training method to continuously learn and adapt allocations in real-time. The SNN architecture has input, hidden and output layers to estimate traffic. Simulation results showed a 98.8% benefit to network throughput from this approach. Machine learning and SNNs are well-suited for dynamic resource optimization in 5G networks due to their ability to analyze large datasets and make autonomous allocation decisions.
37248136-Nano-Technology.pdf
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Distributed Crawler Service architecture presentation
Distributed Crawler Service architecture. Describes the main architecture, key principles and features list of the Distributed Crawler software.
ONP 2.1 platforms maximize VNF interoperability
This paper focuses on the evolutionary stages for cloudification then covers the key software building blocks that will be needed to enable NFV, and ultimately ICT transformation to 5G. It describes how Intel® Open Networking Platform (Intel® ONP) Server running on innovative new networking platforms based on Intel® silicon can help reduce the cost and effort required for service providers and vendors alike to adopt and deploy SDN and NFV architectures.
Edge Computing Platforms and Protocols - Ph.D. thesis
Introductory presentation for Ph.D. thesis of Nitinder Mohan titled "Edge Computing Platforms and Protocols". The defense took place at the University of Helsinki, Finland on 8th November 2019.
The video of the presentation is available at https://youtu.be/dDVZozTwreE
The thesis can be found on https://helda.helsinki.fi/handle/10138/306041
TERM PAPER
This document is a term paper on Software Defined Networking (SDN). It discusses how SDN proposes separating the control plane from the data plane in network architecture, making networks programmable. The key points made are:
1) SDN introduces three planes - data, control, and management. The control plane centralizes network intelligence through a controller.
2) Benefits of SDN include simpler network management through centralized control and programming. It also enables network virtualization.
3) The document outlines the layers in the SDN architecture, including the data plane (forwarding devices), southbound interface, network operating system controller, and northbound interface for programming.
Architecture evolution for automation and network programmability
http://www.ericsson.com/review
Automation and network programmability are key concepts in the evolution of telecom networks. Architecture designed with high degrees of automation and network programmability can rapidly adapt to emerging requirements, and as such improve operational efficiency and time to market for new services.
1.multicore processors
This paper investigates the effects of cache coherence protocols on the performance of multicore network processors. Simulation results show that token-based coherence protocols provide significantly higher performance than directory-based protocols for network workloads. With an 8-core configuration, a token protocol improves performance over directory protocols by a factor of nearly 4 on average. The paper also finds that most shared L2 cache misses are coherence misses, and these misses along with multithreading overhead reduce performance in multicore environments. Future work will focus on reducing these overheads to enhance multicore network processor performance.
Similar to HCE project Distributed Remote Command Execution (20)
Performance evaluation of ecc in single and multi( eliptic curve)
Performance evaluation of ecc in single and multi( eliptic curve)
Microx - A Unix like kernel for Embedded Systems written from scratch.
Microx - A Unix like kernel for Embedded Systems written from scratch.
Software Defined Networking: A Concept and Related Issues
Software Defined Networking: A Concept and Related Issues
Distributed Crawler Service architecture presentation
Distributed Crawler Service architecture presentation
Edge Computing Platforms and Protocols - Ph.D. thesis
Edge Computing Platforms and Protocols - Ph.D. thesis
Architecture evolution for automation and network programmability
Architecture evolution for automation and network programmability
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HCE project Distributed Remote Command Execution
- 1. Hierarchical Cluster Engine Distributed Remote Command Execution (DRCE) v1.1 general description and architecture basics IOIX Ukraine 2014
- 2. DRCE subsystem The DCRE functionality represent the way of distributed data processing that includes the algorithms code populated to the target low level nodes for execution. Any kind of supported by target node OS and platform executable binary, byte or source code can be used. Each request represents task that can be scheduled different way for parallel execution in load-balancing or shard mode. Depends on cluster structural schema the shard or replica manager node will handle the request task to one or to several down layer nodes. The cluster architecture defines the planning of distributed task request execution target node. Heterogeneous HCE cluster architecture can be built to get a complex planning strategy for tasks execution planning.
- 3. DRCE application The Distributed Remote Common Execution as a service have several main application areas for target end-user project system. The concrete cluster architecture schema and DRCE usage depends on task timing and size of income and outgoing data for processing. Small tasks execution effective parallelism. Usable for one host or several physical hosts in pool. Because HCE node handlers are single-threaded and connected with ZMQ socket that used in buffered asynchronous mode effectiveness of small tasks with time from 1 to 50 ms is near to physical platform possibility.
- 4. Middle tasks execution also effective parallelism and results data reducing. In simple mode the results data reducing includes only collecting the data from several nodes in pool that is connected and managed by one shard manager. In more complex mode the resulted data reducing can to include some custom data processing after collecting. The reducer's data processing executable can be specified with request task parameters for each level of cluster hierarchical structure. In result the outgoing data will be transformed from set of parts from down level nodes processing results to one item that is result of processing on next level of cluster hierarchical structure.
- 5. HCE key functional principles ● ● ● ● ● Free network cluster structure architecture. Target applied project can construct specific schema of network relations that succeeds on hardware, load-balancing, file-over, fault-tolerance and another principles on the basis of one simple Lego-like engine. Stable based on ZMQ sockets reversed client-server networking protocol with connection heart-beating, automated restoration and messages buffering. Easy asynchronous connections handling with NUMA oriented architecture of messages handlers. Unified I/O messages based on json format. Ready to have client APIs bindings for many programmer languages covered by ZMQ library. Can be easily integrated and deployed.
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