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DC 4

The document discusses code and process migration in distributed computing, outlining reasons for migration such as load balancing and fault tolerance. It details two models for code migration (strong and weak mobility) and the binding of processes to resources, as well as types of process migration (non-preemptive and preemptive). Additionally, it highlights desirable features of migration mechanisms and various methods for executing migrations effectively.

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0% found this document useful (0 votes)
16 views22 pages

DC 4

The document discusses code and process migration in distributed computing, outlining reasons for migration such as load balancing and fault tolerance. It details two models for code migration (strong and weak mobility) and the binding of processes to resources, as well as types of process migration (non-preemptive and preemptive). Additionally, it highlights desirable features of migration mechanisms and various methods for executing migrations effectively.

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Dc4

Distributed Computing (University of Mumbai)

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CODE MIGRATION ANSWER:

Reasons for Code Migration:

Code migration involves moving software processes from one computing environment to another.
Common reasons for code migration include:

Load Balancing: Distributing computational workload across multiple machines to optimize resource
utilization and performance.
Fault Tolerance: Ensuring continuity of service by relocating processes away from failing or overloaded
machines.
Resource Optimization: Moving processes to machines with specific hardware configurations or
software dependencies to enhance efficiency.
Geographical Proximity: Placing processes closer to users or data sources to reduce latency and improve
responsiveness.
Dynamic Resource Provisioning: Adapting to changing workload demands by dynamically allocating
resources based on real-time requirements.

Models for Migration Code:


There are two primary models for code migration:

Strong Mobility Model:

Sender-Initiated: The sending process initiates the migration by transferring both code and state to a
target machine.
Receiver-Initiated: The target machine actively requests the migration of a process from another
machine, including necessary code and state.

Weak Mobility Model:

Sender-Initiated: The sending process transfers only its code to another machine, but not its entire
state.
Receiver-Initiated: The target machine retrieves the code of a process and may require additional state
information from the sender to execute the process fully.

Process to Resource Binding:


During code migration, processes need to bind to resources on the target machine. There are three
types of process to resource bindings:

Binding by Identifier: The process specifies resources using unique identifiers or names.
Binding by Value: Resources are identified based on specific values or parameters passed during the
binding process.
Binding by Type: Resources are identified based on their type or class, matching the requirements of the
process.

Resource to Machine Binding:


Resources are bound to machines during code migration based on their nature and availability:

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Unattached Resources: Resources that are not tightly coupled to specific machines and can be
dynamically allocated or reassigned as needed.
Fastened Resources: Resources that are tightly coupled to specific machines due to hardware
dependencies or specialized configurations.
Fixed Resources: Resources that are pre-allocated to specific machines and remain static during code
migration.

Process Migration Answer:

Process migration involves moving a running process from one computing environment (e.g., machine,
server) to another.

Types of Process Migration:


Non-Preemptive Process Migration:

Process migration occurs voluntarily when the process explicitly requests to move to another
environment.

Preemptive Process Migration:

Process migration is initiated by the system without the explicit request of the process, often due to
load balancing or resource optimization.

Desirable Features of a Good Process Migration Mechanism:


Transparency:

Migration should be transparent to users and applications, appearing seamless without disruptions or
changes in behavior.

Minimal Interference:

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Migration should not significantly impact the performance or availability of the system during the
migration process.

Minimal Residual Dependency:

After migration, the process should have minimal remaining dependencies on its original environment.

Efficiency:

Migration should be efficient in terms of time, resource usage, and system overhead.

Robustness:

The migration mechanism should be reliable and robust, handling various failure scenarios and ensuring
data integrity.

Process Migration Mechanisms:


State Transfer:

Transfer the entire state (code, data, execution context) of the process to the new environment.

Checkpoint and Restart:

Save the current state of the process (checkpoint) and then restore it in the new environment to
continue execution.

Remote Procedure Call (RPC):

Execute parts of the process remotely on different machines, migrating functionality rather than the
entire process.

Live Migration:

Migrate processes without interrupting their execution, typically used in virtualized environments.

Dynamic Binding:

Bind processes to resources dynamically based on workload and resource availability.

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