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Questions and Answers
What role does resource sharing play in distributed systems?
Resource sharing allows the use of any hardware, software, or data anywhere in the system, managed by a resource manager that controls access and concurrency.
How does openness in distributed systems facilitate integration of new components?
Openness allows new components to be integrated with existing ones by requiring detailed public interfaces and resolving differences in data representation across different processors.
Why is concurrency critical in distributed systems, and what issues can arise without it?
Concurrency enables components to execute simultaneously, but without coordination, it can lead to problems such as lost updates and inconsistent data analysis.
Discuss the importance of scalability in distributed systems.
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What mechanisms are typically used to achieve fault tolerance in distributed systems?
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What role do IDL method signatures play in supporting communication between programs written in different languages?
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How do IDL modules contribute to managing naming scopes in a programming environment?
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What are the implications of using different IDL types and attributes when exchanging data between heterogeneous systems?
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In the context of IDL, how does the concept of mobile code enhance the portability of applications?
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Explain the significance of middleware in addressing the differences in operating systems and hardware.
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Study Notes
Common Characteristics of Distributed Systems
- Key characteristics include resource sharing, openness, concurrency, scalability, fault tolerance, and transparency.
Resource Sharing
- Enables utilization of any hardware, software, or data from any location within the system.
- A resource manager oversees access control, naming conventions, and concurrency management.
- Resource sharing models define interaction styles between providers and users, such as client/server or object-based models.
Openness
- Open systems facilitate enhancements and extensions, requiring public interfaces for component interaction.
- New components must integrate smoothly with existing ones.
- Variations in data representation across different processor architectures need resolution for compatibility.
Concurrency
- Components operate concurrently, allowing multiple processes to access shared resources like databases or drivers.
- Risks of concurrent updates include lost updates and inconsistent system states, necessitating coordination mechanisms.
Scalability
- Systems must adapt to increased user loads and improved response times, typically through additional or enhanced processors.
- Scalability designs should ensure that components remain consistent and unchanged as system scale grows.
Fault Tolerance
- Systems must sustain availability despite low levels of reliability across hardware, software, or networks.
- Achieved through recovery strategies and redundancy measures.
Transparency
- Users and programmers view distributed systems as cohesive units rather than separate components.
- Different transparency dimensions identified by ANSA enhance user experience across systems.
Access Transparency
- Affords local and remote information object accessibility using the same operations.
- Resolves disparities in data representation and communication processes among various hardware and programming languages.
Middleware
- Acts as an intermediary software layer, abstracting underlying networks, hardware, and languages.
- Common examples include CORBA and Java Remote Method Invocation (RMI), supporting both multi-language and single-language scenarios.
- Implements higher-level abstractions such as remote invocation and event handling through message-passing protocols.
Mobile Code
- Refers to programmable code transferable between computers, like Java applets.
- Compatibility issues arise due to distinctions in instruction sets and operating systems.
Interfaces in Programming Languages
- Modern programming languages support module-based development, with defined interactions via interfaces.
- Distinct module implementations can adhere to the same interface, enabling scalability and flexibility.
Interfaces in Distributed Systems
- Interaction limitations exist when modules reside in separate processes or hosts, requiring fully specified parameters for communication.
- The service interface allows client requests and server responses for services, while remote interfaces enable argument passing between distant modules.
Object Interfaces
- Define method signatures, including argument types and return values, without implementation details.
- Classes must provide behavior for interface methods, while interfaces lack constructors.
System Architectures
- Client-server architecture remains predominant for distributed systems, with significant historical importance and widespread application.
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Description
Explore the common characteristics that define distributed systems, including resource sharing, openness, concurrency, scalability, fault tolerance, and transparency. This quiz will test your understanding of how these features impact system performance and management.