In computing, It is the description about Grid Computing.
It gives deep idea about grid, what is grid computing? , why we need it? , why it is so ? etc. History and Architecture of grid computing is also there. Advantages , disadvantages and conclusion is also included.
The encryption mechanism is a digital coding system dedicated to preserving the confidentiality and integrity of data. It is used for encoding plain text data into a protected and unreadable format.
Cloud Computing Technology
Cloud Architecture
Cloud Modeling and Design
Foundation Grid
Cloud and Virtualization
Virtualization and Cloud Computing.
Cloud Lifecycle model
In computing, It is the description about Grid Computing.
It gives deep idea about grid, what is grid computing? , why we need it? , why it is so ? etc. History and Architecture of grid computing is also there. Advantages , disadvantages and conclusion is also included.
The encryption mechanism is a digital coding system dedicated to preserving the confidentiality and integrity of data. It is used for encoding plain text data into a protected and unreadable format.
Cloud Computing Technology
Cloud Architecture
Cloud Modeling and Design
Foundation Grid
Cloud and Virtualization
Virtualization and Cloud Computing.
Cloud Lifecycle model
a GUI based grid computing framework that provides tools, daemons and libraries that facilitate users to submit jobs, monitor jobs, Dynamic participation of grid nodes, resource discovery. Best suited for high speed web crawling, Image processing and any job with sufficient degree of parallelism; Developed in C,C++
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: Import Export Consultancy & License Services in one roof :- for Import & Export Incentives, DGFT, Custom, Central Excise, Service Tax, Goods & Service Tax (GST), Full Guidance on all Types of Letter of Credits, Certificate Courses, Apeda, GSP, RCMC, Training Programs ,Seminar and Workshop On Export Documentation and Costing, Import Documentation & Customs, Banking, Finance and Exchange Rate Mechanism And Letter of Credit, Foreign Trade Policy and Handbook of Procedures (FTP-2009-14, FTP-2015-2020),Complete Overview of Goods and Service Tax (GST), Export & Import Related GST, DGFT, Custom, Central Excise, Service Tax
Summer Training 2015 at Alternate Hydro Energy CenterKhusro Kamaluddin
This is the presentation i gave to "Defend" my Summer Training at AHEC IIT Roorkee During Summer 2015. I gave this presentation in my college during my final year. Indeed the most lengthy i ever gave .
Vskills certification for Grid Computing Professional assesses the candidate for a company’s grid computing and transformation needs. The certification tests the candidates on various areas in grid computing which include knowledge of technical concepts and terminologies, grid platform like OGSA and OGSI, technologies used in grids like SOA, XML and cluster, and implementation by Globus toolkit for the organization.
http://www.vskills.in/certification/Certified-Grid-Computing-Professional
Grid Computing - Collection of computer resources from multiple locationsDibyadip Das
Grid computing is the collection of computer resources from multiple locations to reach a common goal. The grid can be thought of as a distributed system with non-interactive workloads that involve a large number of files.
Professor Michael Devetsikiotis gave a lecture on "Networked 3-D Virtual Collaboration in Science and Education: Towards 'Web 3.0' (A Modeling Perspective) " in the Distinguished Lecturer Series - Leon The Mathematician.
More Information available at:
http://goo.gl/U5nGq
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
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Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
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Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
1. By,
Mrs. Vaishali Sahare (Katkar)
HoD Computer Science & Engineering
G H Raisoni Institute of Engineering & Technology, Nagpur.
G H RAISONI INSTITUTE OF ENGINEERING
AND TECHNOLOGY, NAGPUR.
Affiliated to RTM Nagpur University, Nagpur and NAAC Accredited.
GRID COMPUTING
2. OUTLINE
• Introduction to Grid Computing
• How Grid works?
• Grid Applications
• Grid Topologies
• Methods of Grid computing
• Grid Middleware
• Grid Architectures and Protocols
• GridSim Simulation
• Grid ToolKits
Mrs. Vaishali N. Sahare
3. Grid computing is a computer network in
which each computer's resources are shared
with every other computer in the system.
Processing power, memory and data storage are
all community resources that authorized users
can tap into and leverage for specific tasks.
Introduction to Grid Computing
Mrs. Vaishali N. Sahare
4. Introduction to Grid Computing
Grid computing is a form of distributed computing whereby a
"super and virtual computer" is composed of a cluster of networked,
loosely coupled computers, acting in concert to perform very large
tasks.
Grid computing (Foster and Kesselman, 1999) is a growing
technology that facilitates the executions of large-scale resource
intensive applications on geographically distributed computing
resources.
Facilitates flexible, secure, coordinated large scale resource sharing
among dynamic collections of individuals, institutions, and resource
Enable communities (“virtual organizations”) to share geographically
distributed resources as they pursue common goals
Mrs. Vaishali N. Sahare
5. Source: “Evolving Computing Model: Grid Computing” Michael Teyssedre
How Grid Computing works?
Mrs. Vaishali N. Sahare
6. How Grid Computing works?
Source: “Evolving Computing Model: Grid Computing” Michael Teyssedre
Mrs. Vaishali N. Sahare
7. How Grid Computing works?
Source: “Evolving Computing Model: Grid Computing” Michael Teyssedre
Mrs. Vaishali N. Sahare
10. Criteria for a Grid
Coordinates resources that are not subject to centralized
control.
Uses standard, open, general-purpose protocols and
interfaces.
Delivers nontrivial qualities of service.
Benefits
Exploit Underutilized resources
Resource load Balancing
Virtualize resources across an enterprise
Data Grids, Compute Grids
Enable collaboration for virtual organizations
Mrs. Vaishali N. Sahare
11. Grid Applications
Data and computationally intensive applications:
•This technology has been applied to computationally-intensive scientific,
mathematical, and academic problems like drug discovery, economic
forecasting, seismic analysis back office data processing in support of e-
commerce
•A chemist may utilize hundreds of processors to screen thousands of
compounds per hour.
•Teams of engineers worldwide pool resources to analyze terabytes of
structural data.
•Meteorologists seek to visualize and analyze petabytes of climate data with
enormous computational demands.
•Resource sharing
• Computers, storage, sensors, networks, …
• Sharing always conditional: issues of trust, policy, negotiation,
payment, …
•Coordinated problem solving
• distributed data analysis, computation, collaboration, …
Mrs. Vaishali N. Sahare
12. Grid Topologies
• Intragrid
– Local grid within an organisation
– Trust based on personal contracts
• Extragrid
– Resources of a consortium of organisations
connected through a (Virtual) Private Network
– Trust based on Business to Business contracts
• Intergrid
– Global sharing of resources through the internet
– Trust based on certification
Mrs. Vaishali N. Sahare
16. Computational Grid
“A computational grid is a hardware and software
infrastructure that provides dependable, consistent,
pervasive, and inexpensive access to high-end
computational capabilities.”
“The Grid: Blueprint for a New Computing
Infrastructure”, Kesselman & Foster
Example : Science Grid (US Department of Energy)
Mrs. Vaishali N. Sahare
17. Data Grid
• A data grid is a grid computing system that deals with data —
the controlled sharing and management of large amounts of
distributed data.
• Data Grid is the storage component of a grid environment.
Scientific and engineering applications require access to large
amounts of data, and often this data is widely distributed. A
data grid provides seamless access to the local or remote data
required to complete compute intensive calculations.
Example :
Biomedical informatics Research Network (BIRN),
the Southern California earthquake Center (SCEC).
Mrs. Vaishali N. Sahare
20. Distributed Supercomputing
• Combining multiple high-capacity resources
on a computational grid into a single, virtual
distributed supercomputer.
• Tackle problems that cannot be solved on a
single system.
Mrs. Vaishali N. Sahare
21. High-Throughput Computing
• Uses the grid to schedule large numbers of loosely
coupled or independent tasks, with the goal of
putting unused processor cycles to work.
Uses grid capabilities to meet short-term
requirements for resources that are not
locally accessible.
Models real-time computing demands.
On-Demand Computing
Mrs. Vaishali N. Sahare
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Collaborative Computing
• Concerned primarily with enabling and enhancing
human-to-human interactions.
• Applications are often structured in terms of a
virtual shared space.
The focus is on synthesizing new information
from data that is maintained in geographically
distributed repositories, digital libraries, and
databases.
Particularly useful for distributed data mining.
Data-Intensive Computing
Mrs. Vaishali N. Sahare
23. Logistical Networking
• Logistical networks focus on exposing storage resources
inside networks by optimizing the global scheduling of
data transport, and data storage.
• Contrasts with traditional networking, which does not
explicitly model storage resources in the network.
• high-level services for Grid applications
• Called "logistical" because of the analogy it bears with
the systems of warehouses, depots, and distribution
channels.
Mrs. Vaishali N. Sahare
24. P2P Computing vs Grid Computing
• Differ in Target Communities
• Grid system deals with more complex,
more powerful, more diverse and highly
interconnected set of resources than
P2P.
Mrs. Vaishali N. Sahare
25. A typical view of Grid environment
User Resource Broker
Grid Resources
Grid Information Service
A User sends computation
or data intensive application
to Global Grids in order to
speed up the execution of the
application.
A Resource Broker distribute the
jobs in an application to the Grid
resources based on user’s QoS
requirements and details of available
Grid resources for further executions.
Grid Resources (Cluster, PC,
Supercomputer, database,
instruments, etc.) in the Global
Grid execute the user jobs.
Grid Information Service
system collects the details of
the available Grid resources
and passes the information
to the resource broker.
Computation result
Grid application
Computational jobs
Details of Grid resources
Processed jobs
1
2
3
4
26. Grid Middleware
• Grids are typically managed by grid ware -
a special type of middleware that enable sharing and manage grid
components based on user requirements and resource
attributes (e.g., capacity, performance)
• Software that connects other software components or
applications to provide the following functions:
Run applications on suitable available resources
– Brokering, Scheduling
Provide uniform, high-level access to resources
– Semantic interfaces
– Web Services, Service Oriented Architectures
Address inter-domain issues of security, policy, etc.
– Federated Identities
Provide application-level status
monitoring and control
27. Middlewares
• Globus –chicago Univ
• Condor – Wisconsin Univ – High throughput
computing
• Legion – Virginia Univ – virtual workspaces-
collaborative computing
• IBP – Internet back pane – Tennesse Univ – logistical
networking
• NetSolve – solving scientific problems in
heterogeneous env – high throughput & data intensive
28. Two Key Grid Computing Groups
The Globus Alliance (www.globus.org)
• Composed of people from:
Argonne National Labs, University of Chicago, University of Southern
California Information Sciences Institute, University of Edinburgh
and others.
• OGSA/I standards initially proposed by the Globus Group
The Global Grid Forum (www.ggf.org)
• Heavy involvement of Academic Groups and Industry
• (e.g. IBM Grid Computing, HP, United Devices, Oracle, UK e-Science
Programme, US DOE, US NSF, Indiana University, and many others)
• Process
• Meets three times annually
• Solicits involvement from industry, research groups, and academics
29. Some of the Major Grid Projects
Name URL/Sponsor Focus
EuroGrid, Grid
Interoperability
(GRIP)
eurogrid.org
European Union
Create tech for remote access to super
comp resources & simulation codes; in
GRIP, integrate with Globus Toolkit™
Fusion Collaboratory fusiongrid.org
DOE Off. Science
Create a national computational
collaboratory for fusion research
Globus Project™ globus.org
DARPA, DOE,
NSF, NASA, Msoft
Research on Grid technologies;
development and support of Globus
Toolkit™; application and deployment
GridLab gridlab.org
European Union
Grid technologies and applications
GridPP gridpp.ac.uk
U.K. eScience
Create & apply an operational grid within the
U.K. for particle physics research
Grid Research
Integration Dev. &
Support Center
grids-center.org
NSF
Integration, deployment, support of the NSF
Middleware Infrastructure for research &
education
30. Grid in India- GARUDA
• GARUDA is India’s Grid Computing
initiative connecting 17 cities across the
country.
• The 45 participating institutes in this
nationwide project include all the IITs
and C-DAC centers and other major
institutes in India.
32. The Hourglass Model
• Focus on architecture issues
• Propose set of core services as basic
infrastructure
• Used to construct high-level,
domain-specific solutions (diverse)
• Design principles
• Keep participation cost low
• Enable local control
• Support for adaptation
• “IP hourglass” model
Diverse global services
Core
services
Local OS
A p p l i c a t i o n s
33.
34. Layered Grid Architecture
(By Analogy to Internet Architecture)
Application
Fabric
“Controlling things locally”: Access
to, & control of, resources
Connectivity
“Talking to things”: communication
(Internet protocols) & security
Resource
“Sharing single resources”:
negotiating access, controlling use
Collective
“Coordinating multiple resources”:
ubiquitous infrastructure services,
app-specific distributed services
Internet
Transport
Application
Link
InternetProtocolArchitecture
Mrs. Vaishali N. Sahare
35. Example: Data Grid Architecture
Discipline-Specific Data Grid Application
Coherency control, replica selection, task management,
virtual data catalog, virtual data code catalog, …
Replica catalog, replica management, co-allocation,
certificate authorities, metadata catalogs,
Access to data, access to computers, access to network
performance data, …
Communication, service discovery (DNS), authentication,
authorization, delegation
Storage systems, clusters, networks, network caches, …
Collective
(App)
App
Collective
(Generic)
Resource
Connect
Fabric
Mrs. Vaishali N. Sahare
37. Simulation tool
GridSim is a Java-based toolkit for modeling, and
simulation of distributed resource management and
scheduling for conventional Grid environment.
GridSim is based on SimJava, a general purpose
discrete-event simulation package implemented in
Java.
All components in GridSim communicate with each
other through message passing operations defined by
SimJava.
Mrs. Vaishali N. Sahare
38. Salient features of the GridSim
• It allows modeling of heterogeneous types of resources.
• Resources can be modeled operating under space- or
time-shared mode.
• Resource capability can be defined (in the form of MIPS
-Million Instructions Per Second) benchmark.
• Resources can be located in any time zone.
• Weekends and holidays can be mapped depending on
resource’s local time to model non-Grid (local) workload.
• Resources can be booked for advance reservation.
• Applications with different parallel application models can
be simulated.
Mrs. Vaishali N. Sahare
39. Salient features of the GridSim
• Application tasks can be heterogeneous and they can be CPU
or I/O intensive.
• There is no limit on the number of application jobs that can
be submitted to a resource.
• Multiple user entities can submit tasks for execution
simultaneously in the same resource, which may be time-
shared or space-shared. This feature helps in building
schedulers that can use different market-driven economic
models for selecting services competitively.
• Network speed between resources can be specified.
• It supports simulation of both static and dynamic schedulers.
• Statistics of all or selected operations can be recorded and
they can be analyzed using GridSim statistics analysis
methods.
Mrs. Vaishali N. Sahare
40. A Modular Architecture for GridSim
Platform and Components.
Appn Conf Res Conf User Req Grid Sc Output
Application, User, Grid Scenario’s input and Results
Grid Resource Brokers or Schedulers
…
Appn
modeling
Res entity Info serv Job mgmt Res alloc Statis
GridSim Toolkit
Single CPU SMPs Clusters Load Netw Reservation
Resource Modeling and Simulation
SimJava Distributed SimJava
Basic Discrete Event Simulation Infrastructure
PCs Workstation ClustersSMPs Distributed Resources
Virtual Machine