Task Manager
Introduction
TaskManager is a decentralized job scheduling and execution module designed to efficiently manage distributed tasks in a scalable, secure, and resource-conscious manner. It is a backbone for orchestrating tasks across a network of nodes, ensuring seamless task execution, resource optimization, and fault tolerance. TaskManager is ideal for systems requiring automation, load balancing, and distributed computing, such as blockchain keeper networks and decentralized applications (dApps).
Purpose and Key Features
Core Objectives
TaskManager aims to:
Automate Job Scheduling: Enable seamless scheduling of tasks across distributed nodes.
Optimize Resource Usage: Monitor and manage system resources like CPU and memory to prevent bottlenecks.
Support Fault-Tolerant Execution: Provide mechanisms to handle task failures through retries and failovers.
Facilitate Distributed Execution: Use quorum-based systems to coordinate and execute tasks across multiple nodes in a decentralized network.
Key Features
Job Scheduling TaskManager supports flexible job scheduling mechanisms to cater to a variety of use cases, including periodic execution, event-based triggers, and condition-based task initiation.
Dynamic Quorum System TaskManager employs a quorum-based architecture to divide and manage tasks efficiently. This enables:
Balanced workload distribution across multiple nodes.
Resilient task execution through redundant quorum members.
Dynamic quorum selection to adapt to network changes.
Load Balancing Resource monitoring and load balancing are at the core of TaskManager, ensuring that system resources are utilized effectively without overloading individual nodes.
State Persistence TaskManager ensures reliable task execution by persisting task states periodically, enabling smooth recovery in case of interruptions.
Scalability and Adaptability Designed to handle a growing network of nodes, TaskManager scales effortlessly while maintaining system performance and reliability.
How TaskManager Works
Job Scheduling and Execution
TaskManager handles job submission, scheduling, and distribution through a structured lifecycle:
Job Submission: Users submit tasks with relevant details, such as execution intervals, required resources, and expected outcomes.
Validation: TaskManager validates the job parameters, such as timeframe, prerequisites, and resource availability.
Scheduling: Valid jobs are scheduled for execution based on available resources and system load.
Distribution: Tasks are distributed to assigned nodes or quorums for execution, ensuring fair distribution and redundancy.
Monitoring and Completion: Task progress is monitored, and completed tasks are marked and recorded.
Distributed Task Execution
TaskManager leverages a quorum system to execute tasks across multiple nodes. Each quorum:
Consists of a group of nodes working collaboratively on assigned tasks.
Ensures redundancy and fault tolerance by maintaining active backups within the group.
Synchronizes task states across nodes for consistency.
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