Transactional State Manager for Distributed Data Structures
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Solution Overview
Problem
In distributed computing environments, managing the lifecycles of diverse application program data structures in a coordinated and highly available manner is challenging, particularly in ensuring atomicity, replication, and persistence across operational failures.
Innovation Solution
A state manager provides transactional distributed lifecycle management for groups of differently structured application-level state providers, replicating them across nodes and ensuring persistence despite failures, with operations including creation, deletion, and enumeration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If diverse application program data structures are managed in a distributed computing environment, then system versatility and adaptability are improved, but coordination complexity and operational difficulty increase
Solution Approach 1:
The patent introduces a state manager as an intermediary component that coordinates lifecycle operations across multiple distributed data structures. The state manager receives requests, determines the appropriate data structures to modify, and orchestrates the changes to ensure atomicity and consistency across the distributed system, thereby managing complexity while supporting diverse data structures.
Solution Approach 2:
The state manager is designed as a universal component that can handle multiple types of data structures (key-value stores, databases, caches, etc.) through a unified interface. This multi-functional approach allows the system to support diverse data structures without requiring separate coordination mechanisms for each type, reducing overall system complexity.
2Reliability
If transactional distributed lifecycle management is implemented across multiple data structures, then operational reliability and atomicity are improved, but system complexity and resource requirements increase
Solution Approach 1:
The patent combines multiple data structure lifecycle operations into a single transactional unit managed by the state manager. By merging the coordination of multiple data structures into one unified management mechanism, the system ensures atomicity (either all operations succeed or all fail) while avoiding the complexity of managing separate transaction mechanisms for each data structure.
Solution Approach 2:
The state manager acts as a mediator that implements transactional semantics across distributed data structures. It coordinates create, delete, and modify operations, ensuring that changes are applied atomically across all relevant data structures, thereby improving reliability without requiring each data structure to implement its own complex transactional logic.
3Reliability
If state providers are replicated across distributed nodes, then system availability and fault tolerance are improved, but data synchronization complexity and network overhead increase
Solution Approach 1:
The patent implements replication of state providers across multiple distributed nodes to ensure availability and fault tolerance. Each node maintains a copy of the state data, allowing the system to continue operating even if some nodes fail. The state manager coordinates updates across replicas to maintain consistency.
Solution Approach 2:
The system employs feedback mechanisms where the state manager monitors the state of replicated data across nodes and coordinates synchronization operations. When changes occur, the state manager propagates updates to relevant replicas and verifies successful propagation, ensuring data consistency while managing synchronization overhead through targeted rather than continuous synchronization.
4Adaptability or versatility
If dynamic creation and deletion of data structures is supported, then system flexibility and adaptability are improved, but operational complexity and coordination overhead increase
Solution Approach 1:
The state manager serves as an intermediary that abstracts the complexity of dynamic data structure creation and deletion. Applications can request the creation or deletion of data structures through simple API calls to the state manager, which then handles the complex coordination of initializing new data structures, updating their configuration across the distributed system, or cleanly removing them and their associated resources.
Solution Approach 2:
The state manager performs preliminary actions to prepare for dynamic data structure operations. Before creating a new data structure, the state manager pre-configures the necessary resources and coordinates with relevant nodes. Before deletion, it ensures all dependent operations are completed and resources are properly released, thereby simplifying the actual create/delete operations for applications.
Data Source
AI summary
A state manager provides transactional distributed lifecycle management of a group of different application-level state providers, namely, differently structured application program data structures. The state providers are atomic with respect to one another. The state provider is replicated to one or more secondary nodes of a distributed network. The state providers are persistent despite one or more node operational failures. State provider lifecycle operations include creation of a transactional distributed state provider as a member of a group of different application-level state providers which include differently structured application program data structures, deletion of a previously created transactional distributed state provider, and/or enumeration of any previously created transactional distributed state providers. A given state provider may be read or written by one or more applications. Implementation restrictions and other avoidance conditions are satisfied in particular cases.