This document summarizes a lecture on software architecture and component-based software architecture. It discusses:
1) Software architecture, components, interfaces, and multiple views of software architecture including structural, dynamic, deployment, and component views.
2) Software architectural patterns including layers of abstraction, centralized/distributed control, and asynchronous/synchronous message communication patterns.
3) Documenting architectural patterns with context, problem, and solution templates.
4) Interface design with provided and required interfaces.
5) Designing software architectures including object-oriented, client-server, service-oriented, and distributed component-based architectures.
Software Archtecture.
Software design is a process to transform user requirements into some suitable form, which helps the programmer in software coding and implementation.
Software design is the important step in SDLC (Software Design Life Cycle), which moves the concentration from problem domain to solution domain. It tries to specify how to fulfill the requirements mentioned in SRS.
Software design plays an important role in developing software: during software design, software engineers produce various models that form a kind of blueprint of the solution to be implemented
The document discusses key concepts in software design including abstraction, architecture, patterns, modularity, coupling and cohesion, and information hiding. It defines software design as transforming user requirements into an implementable form using programming languages. The software design process exists between requirements and programming and yields architectural, high-level, and detailed designs. It also outlines characteristics of good design like correctness, efficiency, and understandability.
The document discusses architectural design, including:
- Architectural design determines how a software system is organized and structured. It identifies the main components and relationships.
- Architectural views show different perspectives of a system, such as logical, process, development, and physical views. Common patterns like model-view-controller and layered architectures are also covered.
- Architectural decisions impact system characteristics like performance, security, and maintainability. Common application architectures are also discussed.
The document discusses various design concepts and elements of the design model in software engineering. It covers 12 key design concepts including abstraction, architecture, patterns, separation of concerns, modularity, and information hiding. It also discusses design classes, refinement, aspects, and refactoring. Additionally, it outlines elements of the design model including data design, architectural design, interface design, component-level design, and deployment-level design. The goal of design is to create a model of software that will correctly implement requirements and provide joy to users.
The document introduces software architecture and architectural design. It discusses that architectural design is important for understanding how a software system should be organized. The objectives are to understand the importance of architecture, decisions made in the design process, and architectural patterns. It also covers topics like architectural views, patterns, and application architectures.
A COMPARATIVE ANALYSIS ON SOFTWARE ARCHITECTURE STYLESijfcstjournal
Software architecture is the structural solution that achieves the overall technical and operational
requirements for software developments. Software engineers applied software architectures for their
software system developments; however, they worry the basic benchmarks in order to select software
architecture styles, possible components, integration methods (connectors) and the exact application of
each style.
The objective of this research work was a comparative analysis of software architecture styles by its
weakness and benefits in order to select by the programmer during their design time. Finally, in this study,
the researcher has been identified architectural styles, weakness, and Strength and application areas with
its component, connector and Interface for the selected architectural styles.
A COMPARATIVE ANALYSIS ON SOFTWARE ARCHITECTURE STYLESijfcstjournal
Software architecture is the structural solution that achieves the overall technical and operational requirements for software developments. Software engineers applied software architectures for their software system developments; however, they worry the basic benchmarks in order to select software architecture styles, possible components, integration methods (connectors) and the exact application of each style. The objective of this research work was a comparative analysis of software architecture styles by its weakness and benefits in order to select by the programmer during their design time. Finally, in this study, the researcher has been identified architectural styles, weakness, and Strength and application areas with its component, connector and Interface for the selected architectural styles.
A COMPARATIVE ANALYSIS ON SOFTWARE ARCHITECTURE STYLESADEIJ Journal
Software architecture is the structural solution that achieves the overall technical and operational
requirements for software developments. Software engineers applied software architectures for their
software system developments; however, they worry the basic benchmarks in order to select software
architecture styles, possible components, integration methods (connectors) and the exact application of
each style.
The objective of this research work was a comparative analysis of software architecture styles by its
weakness and benefits in order to select by the programmer during their design time. Finally, in this study,
the researcher has been identified architectural styles, weakness, and Strength and application areas with
its component, connector and Interface for the selected architectural styles.
Software Archtecture.
Software design is a process to transform user requirements into some suitable form, which helps the programmer in software coding and implementation.
Software design is the important step in SDLC (Software Design Life Cycle), which moves the concentration from problem domain to solution domain. It tries to specify how to fulfill the requirements mentioned in SRS.
Software design plays an important role in developing software: during software design, software engineers produce various models that form a kind of blueprint of the solution to be implemented
The document discusses key concepts in software design including abstraction, architecture, patterns, modularity, coupling and cohesion, and information hiding. It defines software design as transforming user requirements into an implementable form using programming languages. The software design process exists between requirements and programming and yields architectural, high-level, and detailed designs. It also outlines characteristics of good design like correctness, efficiency, and understandability.
The document discusses architectural design, including:
- Architectural design determines how a software system is organized and structured. It identifies the main components and relationships.
- Architectural views show different perspectives of a system, such as logical, process, development, and physical views. Common patterns like model-view-controller and layered architectures are also covered.
- Architectural decisions impact system characteristics like performance, security, and maintainability. Common application architectures are also discussed.
The document discusses various design concepts and elements of the design model in software engineering. It covers 12 key design concepts including abstraction, architecture, patterns, separation of concerns, modularity, and information hiding. It also discusses design classes, refinement, aspects, and refactoring. Additionally, it outlines elements of the design model including data design, architectural design, interface design, component-level design, and deployment-level design. The goal of design is to create a model of software that will correctly implement requirements and provide joy to users.
The document introduces software architecture and architectural design. It discusses that architectural design is important for understanding how a software system should be organized. The objectives are to understand the importance of architecture, decisions made in the design process, and architectural patterns. It also covers topics like architectural views, patterns, and application architectures.
A COMPARATIVE ANALYSIS ON SOFTWARE ARCHITECTURE STYLESijfcstjournal
Software architecture is the structural solution that achieves the overall technical and operational
requirements for software developments. Software engineers applied software architectures for their
software system developments; however, they worry the basic benchmarks in order to select software
architecture styles, possible components, integration methods (connectors) and the exact application of
each style.
The objective of this research work was a comparative analysis of software architecture styles by its
weakness and benefits in order to select by the programmer during their design time. Finally, in this study,
the researcher has been identified architectural styles, weakness, and Strength and application areas with
its component, connector and Interface for the selected architectural styles.
A COMPARATIVE ANALYSIS ON SOFTWARE ARCHITECTURE STYLESijfcstjournal
Software architecture is the structural solution that achieves the overall technical and operational requirements for software developments. Software engineers applied software architectures for their software system developments; however, they worry the basic benchmarks in order to select software architecture styles, possible components, integration methods (connectors) and the exact application of each style. The objective of this research work was a comparative analysis of software architecture styles by its weakness and benefits in order to select by the programmer during their design time. Finally, in this study, the researcher has been identified architectural styles, weakness, and Strength and application areas with its component, connector and Interface for the selected architectural styles.
A COMPARATIVE ANALYSIS ON SOFTWARE ARCHITECTURE STYLESADEIJ Journal
Software architecture is the structural solution that achieves the overall technical and operational
requirements for software developments. Software engineers applied software architectures for their
software system developments; however, they worry the basic benchmarks in order to select software
architecture styles, possible components, integration methods (connectors) and the exact application of
each style.
The objective of this research work was a comparative analysis of software architecture styles by its
weakness and benefits in order to select by the programmer during their design time. Finally, in this study,
the researcher has been identified architectural styles, weakness, and Strength and application areas with
its component, connector and Interface for the selected architectural styles.
FRAMEWORKS BETWEEN COMPONENTS AND OBJECTSacijjournal
Before the emergence of Component-Based Frameworks, similar issues have been addressed by other
software development paradigms including e.g. Object-Oriented Programming (OOP), ComponentBased Development (CBD), and Object-Oriented Framework. In this study, these approaches especially
object-oriented Frameworks are compared to Component-Based Frameworks and their relationship are
discussed. Different software reuse methods impacts on architectural patterns and support for
application extensions and versioning. It is concluded that many of the mechanisms provided by
Component-Based Framework can be enabled by software elements at the lower level. The main
contribution of Component-Based Framework is the focus on Component development. All of them can be
built on each other in layered manner by adopting suitable design patterns. Still some things such as
which method to develop and upgrade existing application to other approach.
This document discusses fundamentals of software engineering design. It explains that design creates a representation of software that provides implementation details beyond an analysis model. Four design models are described: data design, architectural design, user interface design, and component-level design. Design principles, concepts like abstraction and patterns are explained. Tools like CASE tools can support design, and evaluation ensures a quality design. A design specification document formally specifies the design.
This document provides an overview of software architectures and architectural structures. It discusses different types of architectural structures, including module structures, component-and-connector structures, and allocation structures. Module structures focus on modules and their relationships, component-and-connector structures examine runtime components and connectors, and allocation structures show how software elements map to environments. The document then examines specific architectural structures like modules, layers, classes, processes, repositories, and deployment. It emphasizes that an architect should focus on a few key structures like logical, process, development, and physical views to validate that the architecture meets requirements.
The document discusses architectural design and various architectural concepts. It covers topics like architectural design decisions, architectural views using different models, common architectural patterns like MVC and layered architectures, application architectures, and how architectural design is concerned with organizing a software system and identifying its main structural components and relationships.
Architectural design involves identifying major system components and their communications. Architectural views provide different perspectives of the system, such as conceptual, logical, process, and development views. Common architectural patterns include model-view-controller, layered, client-server, and pipe-and-filter architectures. Application architectures define common structures for transaction processing, information, and language processing systems.
The document discusses architectural design in software engineering. It covers topics like architectural design decisions, views, patterns, and application architectures. Architectural design involves identifying major system components and their communications in order to represent the link between specification and design processes. Common architectural patterns discussed include model-view-controller, layered architectures, repositories, client-server, pipes and filters. The document also provides examples of architectures for different types of applications like transaction processing systems and information systems.
This document discusses architectural design and provides examples of architectural views, patterns, and decisions. It covers topics such as the 4+1 view model, layered architecture pattern, model-view-controller pattern, and how architectural decisions impact system characteristics such as performance, security, and maintainability. Key points are that architectural design represents a link between specification and design, and that views, patterns, and decisions are important aspects of documenting and designing software architectures.
Simon Brown: Software Architecture as Code at I T.A.K.E. Unconference 2015Mozaic Works
This document discusses software architecture and how it relates to code. It suggests that software architecture should be more accessible to developers and embodied in the code through architecturally evident coding styles. Components can be extracted from code if naming conventions, packaging, and other patterns are used. Both diagrams and code should reflect the architectural abstractions. Software architecture models can be maintained as code to keep them in sync with implementation changes.
This document provides an overview of topics covered in Chapter 7 on software design and implementation, including object-oriented design using UML, design patterns, implementation issues, and open source development. It discusses the design and implementation process, build vs buy approaches, object-oriented design processes involving system models, and key activities like defining system context, identifying objects and interfaces. Specific examples are provided for designing a wilderness weather station system.
Chapter 7 Design Architecture and Methodology1.docxmccormicknadine86
Chapter 7:
Design: Architecture and Methodology
1
Design Topics Covered
Architectural vs. detailed design
“Common” architectural styles, tactics, and reference architectures
Basic techniques for detailed design
Basic issues with user-interface design
2
Design
Starts mostly from/with requirements (evolving mostly from functionalities and other non-functional characteristics).
How is the software solution going to be structured?
What are the main components—(functional comp)?
Often directly from requirements’ functionalities
(use cases).
How are these components related?
Possibly re-organize the components (composition/decomposition).
Two main levels of design:
Architectural (high level)
Detailed design
How should we depict design—notation/language?
3
Relationship between Architecture and Design
Detailed Design
Comes from
Requirements &
Architecture
4
Software Architecture
Structure(s) of the solution, comprising:
Major software elements
Their externally visible properties
Relationships among elements
Every software system has an architecture.
May have multiple structures!
Multiple ways of organizing elements, depending on the perspective
External properties of components (and modules)
Component (module) interfaces
Component (module) interactions, rather than internals of components and modules
5
Views and Viewpoints
View – representation of a system structure
4+1 views (by Krutchen)
Logical (OO decomposition – key abstractions)
Process (run-time, concurrency/distribution of functions)
Subsystem decomposition
Physical architecture
+1: use cases
Other classification (Bass, Clements, Kazman)
Module
Run-time
Allocation (mapping to development environment)
Different views for different people
6
Architectural Styles/Patterns
Pipes and filters
Event driven
Client-server
Model-view-controller (MVC)
Layered
Database centric
Three tier
We discuss architectural styles/patterns as
“reusable” starting point for design activities.
7
Pipe-Filter Architecture Style
The high-level design solution is decomposed into two “generic” parts (filters and pipes):
Filter is a service that transforms a stream of input data into a stream of output data.
Pipe is a mechanism or conduit through which the data flows from one filter to another.
Input
time cards
Prepare for
check processing
Process checks
Problems that require batch file processing seem to fit this architecture: e.g., payroll, compilers, month-end accounting.
** Reminds one of DFD without the data store or source sink.**
8
Event Driven (Real Time)
The high-level design solution is based on an event dispatcher, which manages events and the functionalities that depend on those events. These have the following characteristics:
Events may be a simple notification or may include associated data.
Events may be prioritized or be based on constraints such as time.
Events may require synchronous or asynchronous processing.
Events may be “registered” ...
Design patterns are commonly used to address problems relating to application architecture and design. The concept originated from Christopher Alexander's work noting common building design problems and solutions. Design patterns ensure problems are addressed through well-known solutions, and most problems have likely been solved before. Common patterns include observer/subject to separate user interface from business logic, singleton to control object construction, strategy to allow multiple algorithms, and template method to define an algorithm's structure. The facade pattern provides different views of subsystems to users by hiding implementation details. The command pattern encapsulates requests as objects with a known interface to decouple senders and receivers.
The document discusses architectural design and provides information on architectural design decisions, views, patterns, and levels of abstraction. It describes architecture in the small as concerned with individual programs, while architecture in the large refers to complex enterprise systems. There are advantages to explicitly designing architecture such as stakeholder communication, system analysis, and large-scale reuse. Architectural views include logical, process, development, and physical views. Design decisions depend on requirements like performance, security, safety, availability, and maintainability. Common patterns include model-view-controller and layered architectures.
SADP PPTs of all modules - Shanthi D.L.pdfB.T.L.I.T
The document discusses design patterns and software architecture. It includes an introduction to design patterns, describing what they are and how they solve common design problems. It also provides details on various design patterns organized in a catalog, including creational, structural and behavioral patterns. The document gives an example of using the Model-View-Controller (MVC) pattern in Smalltalk and provides a template for describing design patterns.
The document discusses architectural design and provides examples of different architectural patterns and application architectures. It begins with defining architectural design and its role in the system design process. It then covers topics such as architectural views, patterns like Model-View-Controller and layered architectures. Examples are given of different application architectures for transaction processing and information systems. Key decisions in architectural design and documenting architectures are also summarized.
The document discusses architectural design and key concepts:
- Architectural design determines the subsystems of a system and how they communicate. It represents the link between specification and design.
- Views and patterns are used to document architectures. Common views include logical, process, development, and physical views. Patterns like MVC and layered architectures organize systems.
- Architectural design involves decisions like the application architecture, distribution, styles, decomposition, and documentation. Views and non-functional requirements influence these decisions.
The document discusses key principles of software design including data design, architectural design, user interface design, abstraction, refinement, modularity, software architecture, control hierarchy, structural partitioning, software procedure, and information hiding. These principles provide a foundation for correctly designing software and translating analysis models into implementable designs.
The document discusses architectural design and provides examples of different architectural styles and application architectures. It covers topics such as:
- Architectural styles like layered architecture, model-view-controller, client-server, pipe and filter, and repository patterns.
- Generic application architectures for transaction processing systems and language processing systems. Examples given include ATMs, reservation systems, compilers, and command interpreters.
- Information system architectures often use a layered style with layers for the user interface, communications, retrieval, and database.
- Web-based information systems have interfaces implemented through a web browser.
DC Lecture 04 and 05 Mutual Excution and Election Algorithms.pdfLegesseSamuel
This document discusses algorithms for mutual exclusion and election in distributed systems. It covers centralized and distributed mutual exclusion algorithms including Ricart & Agrawala and token ring. It also covers two election algorithms: the bully algorithm where processes "bully" others to become coordinator, and a ring-based algorithm where processes are organized in a logical ring.
FRAMEWORKS BETWEEN COMPONENTS AND OBJECTSacijjournal
Before the emergence of Component-Based Frameworks, similar issues have been addressed by other
software development paradigms including e.g. Object-Oriented Programming (OOP), ComponentBased Development (CBD), and Object-Oriented Framework. In this study, these approaches especially
object-oriented Frameworks are compared to Component-Based Frameworks and their relationship are
discussed. Different software reuse methods impacts on architectural patterns and support for
application extensions and versioning. It is concluded that many of the mechanisms provided by
Component-Based Framework can be enabled by software elements at the lower level. The main
contribution of Component-Based Framework is the focus on Component development. All of them can be
built on each other in layered manner by adopting suitable design patterns. Still some things such as
which method to develop and upgrade existing application to other approach.
This document discusses fundamentals of software engineering design. It explains that design creates a representation of software that provides implementation details beyond an analysis model. Four design models are described: data design, architectural design, user interface design, and component-level design. Design principles, concepts like abstraction and patterns are explained. Tools like CASE tools can support design, and evaluation ensures a quality design. A design specification document formally specifies the design.
This document provides an overview of software architectures and architectural structures. It discusses different types of architectural structures, including module structures, component-and-connector structures, and allocation structures. Module structures focus on modules and their relationships, component-and-connector structures examine runtime components and connectors, and allocation structures show how software elements map to environments. The document then examines specific architectural structures like modules, layers, classes, processes, repositories, and deployment. It emphasizes that an architect should focus on a few key structures like logical, process, development, and physical views to validate that the architecture meets requirements.
The document discusses architectural design and various architectural concepts. It covers topics like architectural design decisions, architectural views using different models, common architectural patterns like MVC and layered architectures, application architectures, and how architectural design is concerned with organizing a software system and identifying its main structural components and relationships.
Architectural design involves identifying major system components and their communications. Architectural views provide different perspectives of the system, such as conceptual, logical, process, and development views. Common architectural patterns include model-view-controller, layered, client-server, and pipe-and-filter architectures. Application architectures define common structures for transaction processing, information, and language processing systems.
The document discusses architectural design in software engineering. It covers topics like architectural design decisions, views, patterns, and application architectures. Architectural design involves identifying major system components and their communications in order to represent the link between specification and design processes. Common architectural patterns discussed include model-view-controller, layered architectures, repositories, client-server, pipes and filters. The document also provides examples of architectures for different types of applications like transaction processing systems and information systems.
This document discusses architectural design and provides examples of architectural views, patterns, and decisions. It covers topics such as the 4+1 view model, layered architecture pattern, model-view-controller pattern, and how architectural decisions impact system characteristics such as performance, security, and maintainability. Key points are that architectural design represents a link between specification and design, and that views, patterns, and decisions are important aspects of documenting and designing software architectures.
Simon Brown: Software Architecture as Code at I T.A.K.E. Unconference 2015Mozaic Works
This document discusses software architecture and how it relates to code. It suggests that software architecture should be more accessible to developers and embodied in the code through architecturally evident coding styles. Components can be extracted from code if naming conventions, packaging, and other patterns are used. Both diagrams and code should reflect the architectural abstractions. Software architecture models can be maintained as code to keep them in sync with implementation changes.
This document provides an overview of topics covered in Chapter 7 on software design and implementation, including object-oriented design using UML, design patterns, implementation issues, and open source development. It discusses the design and implementation process, build vs buy approaches, object-oriented design processes involving system models, and key activities like defining system context, identifying objects and interfaces. Specific examples are provided for designing a wilderness weather station system.
Chapter 7 Design Architecture and Methodology1.docxmccormicknadine86
Chapter 7:
Design: Architecture and Methodology
1
Design Topics Covered
Architectural vs. detailed design
“Common” architectural styles, tactics, and reference architectures
Basic techniques for detailed design
Basic issues with user-interface design
2
Design
Starts mostly from/with requirements (evolving mostly from functionalities and other non-functional characteristics).
How is the software solution going to be structured?
What are the main components—(functional comp)?
Often directly from requirements’ functionalities
(use cases).
How are these components related?
Possibly re-organize the components (composition/decomposition).
Two main levels of design:
Architectural (high level)
Detailed design
How should we depict design—notation/language?
3
Relationship between Architecture and Design
Detailed Design
Comes from
Requirements &
Architecture
4
Software Architecture
Structure(s) of the solution, comprising:
Major software elements
Their externally visible properties
Relationships among elements
Every software system has an architecture.
May have multiple structures!
Multiple ways of organizing elements, depending on the perspective
External properties of components (and modules)
Component (module) interfaces
Component (module) interactions, rather than internals of components and modules
5
Views and Viewpoints
View – representation of a system structure
4+1 views (by Krutchen)
Logical (OO decomposition – key abstractions)
Process (run-time, concurrency/distribution of functions)
Subsystem decomposition
Physical architecture
+1: use cases
Other classification (Bass, Clements, Kazman)
Module
Run-time
Allocation (mapping to development environment)
Different views for different people
6
Architectural Styles/Patterns
Pipes and filters
Event driven
Client-server
Model-view-controller (MVC)
Layered
Database centric
Three tier
We discuss architectural styles/patterns as
“reusable” starting point for design activities.
7
Pipe-Filter Architecture Style
The high-level design solution is decomposed into two “generic” parts (filters and pipes):
Filter is a service that transforms a stream of input data into a stream of output data.
Pipe is a mechanism or conduit through which the data flows from one filter to another.
Input
time cards
Prepare for
check processing
Process checks
Problems that require batch file processing seem to fit this architecture: e.g., payroll, compilers, month-end accounting.
** Reminds one of DFD without the data store or source sink.**
8
Event Driven (Real Time)
The high-level design solution is based on an event dispatcher, which manages events and the functionalities that depend on those events. These have the following characteristics:
Events may be a simple notification or may include associated data.
Events may be prioritized or be based on constraints such as time.
Events may require synchronous or asynchronous processing.
Events may be “registered” ...
Design patterns are commonly used to address problems relating to application architecture and design. The concept originated from Christopher Alexander's work noting common building design problems and solutions. Design patterns ensure problems are addressed through well-known solutions, and most problems have likely been solved before. Common patterns include observer/subject to separate user interface from business logic, singleton to control object construction, strategy to allow multiple algorithms, and template method to define an algorithm's structure. The facade pattern provides different views of subsystems to users by hiding implementation details. The command pattern encapsulates requests as objects with a known interface to decouple senders and receivers.
The document discusses architectural design and provides information on architectural design decisions, views, patterns, and levels of abstraction. It describes architecture in the small as concerned with individual programs, while architecture in the large refers to complex enterprise systems. There are advantages to explicitly designing architecture such as stakeholder communication, system analysis, and large-scale reuse. Architectural views include logical, process, development, and physical views. Design decisions depend on requirements like performance, security, safety, availability, and maintainability. Common patterns include model-view-controller and layered architectures.
SADP PPTs of all modules - Shanthi D.L.pdfB.T.L.I.T
The document discusses design patterns and software architecture. It includes an introduction to design patterns, describing what they are and how they solve common design problems. It also provides details on various design patterns organized in a catalog, including creational, structural and behavioral patterns. The document gives an example of using the Model-View-Controller (MVC) pattern in Smalltalk and provides a template for describing design patterns.
The document discusses architectural design and provides examples of different architectural patterns and application architectures. It begins with defining architectural design and its role in the system design process. It then covers topics such as architectural views, patterns like Model-View-Controller and layered architectures. Examples are given of different application architectures for transaction processing and information systems. Key decisions in architectural design and documenting architectures are also summarized.
The document discusses architectural design and key concepts:
- Architectural design determines the subsystems of a system and how they communicate. It represents the link between specification and design.
- Views and patterns are used to document architectures. Common views include logical, process, development, and physical views. Patterns like MVC and layered architectures organize systems.
- Architectural design involves decisions like the application architecture, distribution, styles, decomposition, and documentation. Views and non-functional requirements influence these decisions.
The document discusses key principles of software design including data design, architectural design, user interface design, abstraction, refinement, modularity, software architecture, control hierarchy, structural partitioning, software procedure, and information hiding. These principles provide a foundation for correctly designing software and translating analysis models into implementable designs.
The document discusses architectural design and provides examples of different architectural styles and application architectures. It covers topics such as:
- Architectural styles like layered architecture, model-view-controller, client-server, pipe and filter, and repository patterns.
- Generic application architectures for transaction processing systems and language processing systems. Examples given include ATMs, reservation systems, compilers, and command interpreters.
- Information system architectures often use a layered style with layers for the user interface, communications, retrieval, and database.
- Web-based information systems have interfaces implemented through a web browser.
DC Lecture 04 and 05 Mutual Excution and Election Algorithms.pdfLegesseSamuel
This document discusses algorithms for mutual exclusion and election in distributed systems. It covers centralized and distributed mutual exclusion algorithms including Ricart & Agrawala and token ring. It also covers two election algorithms: the bully algorithm where processes "bully" others to become coordinator, and a ring-based algorithm where processes are organized in a logical ring.
This document provides the table of contents for the textbook "Theory and Problems of Advanced Calculus" by Robert Wrede and Murray R. Spiegel. The textbook covers topics in advanced calculus including real numbers, sequences, functions, limits, derivatives, integrals, partial derivatives, vectors, and infinite series. It is divided into 11 chapters that progress from basic concepts to more advanced topics such as line integrals, surface integrals, and theorems involving integrals. The preface provides background on the textbook and its goal to modernize concepts from calculus for clearer understanding of relationships between topics.
The document provides an overview of the Linux operating system, including its history and design principles. It describes key components such as the Linux kernel, kernel modules, process management, scheduling, and synchronization techniques. The kernel uses modules that can be loaded and unloaded to support device drivers, file systems, and networking protocols. Process scheduling uses both time-sharing and real-time algorithms.
This document summarizes key concepts about mass storage systems from the textbook "Operating System Concepts" by Silberschatz, Galvin and Gagne. It discusses disk structure, disk scheduling algorithms like FCFS, SSTF, SCAN and C-SCAN. It also covers disk management, swap space management, RAID structures, disk attachment methods, stable storage implementation, tertiary storage devices like tapes, operating system interfaces, performance issues like speed and reliability. The document provides illustrations to explain concepts like disk layout, swap maps, RAID levels and disk scheduling algorithms.
This document discusses operating system concepts related to file systems. It covers file concepts like types and structure, file attributes, and file operations. It describes access methods for files including sequential and direct access. It also covers directory structures, including tree structures and graph structures. Other topics include file system mounting, file sharing, protection, and examples of file locking implementations in Java.
1) Queues can be implemented using arrays or linked lists. Arrays have fixed size while linked lists allocate memory dynamically.
2) A queue class uses two pointers - qFront and qRear - to mark the front and rear of the queue. For linked list implementation, nodes are linked together and memory is allocated for each new element.
3) The key operations for queues - enqueue and dequeue - have O(1) time complexity for both array-based and linked list-based implementations. However, linked lists are more flexible in terms of memory usage.
This document provides an overview of several advanced sorting algorithms: Shell sort, Quick sort, Heap sort, and Merge sort. It describes the key ideas, time complexities, and provides examples of implementing each algorithm to sort sample data sets. Shell sort improves on insertion sort by sorting elements in a two-dimensional array. Quick sort uses a pivot element and partitions elements into left and right subsets. Heap sort uses a heap data structure and sorts by swapping elements. Merge sort divides the list recursively and then merges the sorted halves.
The document provides an introduction to computer systems and programming. It discusses the key components of a computer system including hardware such as the CPU, memory, storage devices, and input/output devices. It also covers computer software including operating systems, applications, and programming languages. The document then discusses problem solving approaches and the program development process.
This document provides an overview of requirement modeling and use case modeling techniques. It discusses software requirements analysis, defining functional requirements using use cases, documenting use cases, identifying actors and their roles, modeling relationships between use cases, and extending use cases to describe non-functional requirements. The document also covers static modeling, including class diagrams, class attributes, associations, and generalizations.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
1. 1/6/2024 1
Adama Science and Technology University
School of Electrical Engineering and Computing
Department of Computer Science and Engineering
Summery on Software Architecture
(Reading Assignment)
Lecture -7
Dr. Teklu Urgessa (PhD)
Lecture By
2. Outline
Software architecture and component-based Software
architecture
Describes multiple views of a Software architecture
Introduces the concept of Software architectural patterns
How to document patterns
Describes Software components and interfaces
An overview of designing software architectures
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3. Software Architecture and Component Based
Software Architecture (Cont..)
Software architecture is structured into subsystems, in which
each subsystem should be relatively independent of other.
It is necessary to study the software architecture from:
Static and Dynamic
Functional and Nonfunctional
A structural perspective on SW architecture is given by the
widely held concept of component-based SW architecture.
A component is either a composite object composed of other
objects or a simple object.
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4. Software Architecture and Component Based
Software Architecture (Cont..)
A component provides an interface through which it
communicates with other components.
All information that is needed by one component to
communicate with another component is contained in the
interface, which is separate from the implementation.
A sequential design is a program in which the components
are classes and component instances are objects; the
components are passive classes without a thread of control.
In a sequential design, the only communication pattern is
call/return.
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5. SW Architecture and Component Based SW
Architecture (Cont..)
In a concurrent or distributed design, the components are
active (concurrent) and capable of being deployed to
different nodes in a distributed environment.
In concurrent design component can be communicated with
each other using several different types of communication
pattern such as: synchronous, asynchronous, brokered, or
group communication.
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6. Multiple Views of a SW Architecture
In UML 2, a modeling element can be described with more
than one stereotype.
Analysis modeling: role characteristic of modeling element.
(boundary, entity)
Design modeling: architectural characteristics. (subsystem,
component, service or concurrent task)
SW architecture design can be depicted from different
perspective
Structural view: class diagram
Dynamic view: communication diagram
Deployment view: deployment diagram
Component view : component diagram
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7. Software Architecture Patterns
SW architectural patterns provide the skeleton or template
for the overall software architecture or high-level design of
an application. (architecture style or pattern)
Software architectural pattern can be grouped into two:
Architectural structure pattern: provide the skeleton or
template (layer of abstraction)
Architectural communication pattern: dynamic
communication (call/return, Asynchronous Message
Communication patterns, and the Synchronous Message
Communication with Replay pattern )
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8. Layers of Abstraction Architectural Pattern
Layers of Abstraction is a common architectural pattern.
A strict hierarchy, each layer uses services in the layers
immediately below it.
In flexible hierarchy, it can invoke services at more than one
layer below.
Software architectural structural pattern:
Centralized Control Pattern
Distributed Control Pattern
Hierarchical Control Pattern
Layers of Abstraction Pattern
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9. Software Architecture Pattern
Software architectural structural pattern:
Multiple Client / Multiple Service Pattern
Multiple Client / Single Service Pattern
Multi-tier Client/ Service Pattern
Software architectural communication pattern
Asynchronous Message Communication Pattern
Asynchronous Message Communication with Callback Pattern
Bidirectional Asynchronous Message Communication
Broadcast Pattern
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10. Software Architecture Pattern
Software architectural communication pattern
Broker Forwarding Pattern
Broker Handle Pattern
Call/ Return
Negotiation Pattern
Service Discovery Pattern
Service Registration
Subscription/ Notification Pattern
Synchronous Message Communication with Replay Pattern
Synchronous Message Communication without Relay Pattern
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11. Software Architecture Pattern
Call / Return Pattern
The simplest form of communication b/n objects.
A sequential design consists of passive classes, which are
instantiated as passive objects.
The only possible form of communication between objects in a
sequential design is operation (also known as method)
invocation, which is also referred to as the Call/Return pattern.
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13. Software Architecture Pattern
Asynchronous Message Communication Pattern
In concurrent and distributed designs, other forms of communication
are possible.
The Asynchronous (Loosely Coupled) Message Communication
pattern, the producer component sends a message to the consumer
component and does not wait for a reply.
Asynchronous Message Communication pattern is used wherever
possible for greater flexibility.
It is also possible to have peer-to-peer communication between two
components, which send asynchronous messages to each other. This
kind of communication is referred to as bidirectional asynchronous
communication.
1/6/2024 13
15. Software Architecture Pattern
Synchronous Message Communication with Reply Pattern
The client component sends a message to the service component and then
waits for a reply from the service.
When the message arrives, the service accepts it, processes it, generates a
reply, and then sends the reply. The client and service then both continue.
The service is suspended if no message is available.
There might be one client and one service, it is more likely that synchronous
involves multiple clients and one service.
This pattern is fundamental to client/server architectures.
1/6/2024 15
17. Documenting Software Architectural Pattern
For the sake of easy referencing, comparison with other
patterns and reuse patterns need documenting.
Three important aspects of a pattern that need to be
captured are:
Context: the situation that gives rise to a problem.
Problem: a recurring problem that arise in this context.
Solution: a proven resolution to the problem.
A template for describing a pattern usually also addresses
its strength, weakness, and related patterns.
1/6/2024 17
18. Documenting Software Architectural Pattern
A typical template looks like this:
Pattern name:
Aliases: Other name by which this pattern is known
Context: The situation that gives rise to this problem
Problem: Brief description of the problem
Summary of solution: Brief description of the solution
Strengths of solution:
Weaknesses of solution:
Applicability: When you can use the pattern
Related patterns:
Reference: Where you can find more information about the pattern.
1/6/2024 18
20. Interface Design
An important goal of both object-oriented design and
component-based software architecture is the separation of
the interface from the implementation.
An interface specifies the externally visible operations of a
class, service, or component without revealing the internal
structure (implementation) of the operations.
An interface can be depicted with a different name from the
class or component that realizes the interface.
1/6/2024 20
21. Interface Design
By convention, the name starts with the letter “I.”
An interface can be depicted in two ways: simple and
expanded.
Simple case: the interface is depicted as a little circle with the
interface name next to it. The class or component that
provides the interface is connected to the small circle.
(provided / required)
Expanded case: the interface is depicted in a rectangular box
with the static modeling notation, with the stereotype
«interface» and the interface name in the first compartment.
1/6/2024 21
23. Design of SW Architecture
Object oriented Software Architectures:
Using the concepts of information hiding, classes, and
inheritance.
Client/ Server Architecture
A typical design consists of one service and multiple clients.
Service-Oriented Architecture
Typically consist of multiple distributed autonomous services
that can be composed into distributed software applications.
1/6/2024 23
24. Design of Software Architecture
Distributed Component –based Software Architecture
It describes the component structuring criteria for designing
components that can be deployed to execute on distributed
platforms in a distributed configuration.
Concurrent and Real Software Architecture
Which are concurrent architectures usually having to deal
with multiple streams of input events? state-dependent
Software Product Line Architecture
Which are architectures for families of products that need to
capture both the commonality and variability in the family?
1/6/2024 24
26. Outline
Describes issues in software architectural design.
Integrate the use case–based interaction models into an
initial software architecture.
Determine the subsystems using separation of concerns
and subsystem structuring criteria.
Determine the precise type of message communication
among the subsystems.
1/6/2024 26
27. Issues in Software Architecture Design
During analysis modeling, the problem is analyzed by
breaking it down and studying it on a use case–by–use case
basis.
During design modeling, the solution is synthesized by
designing a software architecture that defines the structural
and behavioral properties of the software system.
In the analysis of the problem domain and structuring a
system into subsystem, the emphasis is on functional
decomposition.
1/6/2024 27
28. Issue in Software Architecture Design
The design goal is a major function that is relatively
independent of the other subsystems functionality.
Some subsystems can be determined relatively easily
because of geographical distribution or server
responsibility. E.g. client and server
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29. Issue in Software Architecture Design
In other applications, it is not so obvious how to structure
the system into subsystem.
One of the goals of subsystem structuring is to have objects
that are functionally related and highly coupled in the same
subsystem, a good place to start is with the use cases.
Objects that participate in the same use case are candidates
to be grouped into the same subsystem.
Because of this, subsystem structuring is often done after
the interaction among the constituent objects of each use
case has been determined during dynamic modeling.
1/6/2024 29
30. Issue in Software Architecture Design
A subsystem provides a larger-grained information hiding
solution than an object.
To structure the system into subsystems, start with the use
cases.
Objects that realize the same use case have higher coupling
because they communicate with each other and have lower
(or no) coupling with objects in other use cases.
1/6/2024 30
31. Issue in Software Architecture Design
Whereas an object can participate in more than one use
case, it can only be part of one subsystem; thus, an object
that participates in more than one use case needs to be
allocated to a single subsystem, usually the subsystem with
which it is most highly coupled.
However, there are also situations in which objects that
participate in the same use case need to be assigned to
different subsystems (e.g., because they are located in
separate geographical locations).
1/6/2024 31
32. Integrated Communication Diagrams
In the analysis model, at least one communication diagram
is developed for each use case.
The integrated communication diagram is a synthesis of all
the communication diagrams to support the use cases.
On way to reduce the clutter of the integrated
communication diagram is to aggregate the messages.
The aggregate message does not represent an actual
message sent from one object to another rather it represents
messages sent at different times between the same pair of
objects.
1/6/2024 32
35. Separation of Concerns in Subsystem Design
Some important structuring decision need to be made when
designing subsystem.
The goal is to make subsystem more self-contained, so that
different concerns are addressed by different subsystems.
Composite Objects
Objects that are parts of the same composite object should be
in the same subsystem.(they are created, live and die together)
Geographical Location
If two objects separated in different geographical locations,
they should be in different subsystem.
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36. Separation of Concerns in Subsystem Design
Clients and Services
Clients and services should be in separate subsystem.
User Interaction
The most flexible option is to keep user interaction objects in
separate subsystems.
Interface to External Objects
An external real-world object should interface to only one
subsystem.
Scope of Control
A control object and all the entity and I/O objects it directly
controls should all be part of one subsystem.
1/6/2024 36
37. Subsystem Structuring Criteria
A subsystem can satisfy more than one of the structuring
criteria. (design considerations)
Client Subsystem
It include: user interaction, control and I/O subsystems.
User Interaction Subsystem
There may be more than one user interaction subsystem –
one for each type of user.
Service Subsystem
A service subsystem provides a service for client subsystem.
It include entity, coordinator and business logic objects.
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38. Subsystem Structuring Criteria
Control Subsystem
A control subsystem controls a given part of the system.
The subsystem receives its inputs from the external
environment and generates outputs to the external
environment, usually without any human intervention.
A control subsystem is often state dependent, in which case
it includes at least one state-dependent control object.
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39. Subsystem Structuring Criteria
Coordinator Subsystem
Coordinator subsystems coordinate the execution of other
subsystems, such as control or service subsystems.
In software architectures with multiple control subsystems, it
is sometimes necessary to have a coordinator subsystem that
coordinates the control subsystems.
Input / Output Subsystem
An input, output, or input/output subsystem is a subsystem
that performs input and/or output operations on behalf of
other subsystems.
It can be designed to be relatively autonomous.
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40. Decisions about message communication between subsystems
In the transition from the analysis model to the design
model, one of the most important decisions relates to what
type of message communication is needed between the
subsystems.
A second related decision is to determine more precisely
the name and parameters of each message (i.e. the interface
specification)
1/6/2024 40
41. Decisions about message communication between subsystems
In design modeling, after the subsystem structure is
determined, a decision has to be made about the precise
semantic of message communication, such as whether
message communication will be synchronous or
asynchronous.
Message communication between two subsystems can be
unidirectional or bidirectional.
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