Enterprise Technology Terminology: J
24 results · page 1 of 2
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JEDI Cloud Contract
JEDI Cloud Contract was the U.S. Department of Defense’s Joint Enterprise Defense Infrastructure procurement, designed as a single-award enterprise cloud contract to deliver commercial IaaS and PaaS services for unclassified through top-secret workloads, with strict security, compliance, and global deployment requirements.
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JIT Compilation for HPC
JIT compilation for HPC is a runtime compilation method that generates optimized machine code on high-performance computing systems based on actual hardware and workload characteristics, which helps enterprises maintain performance portability and resource efficiency across heterogeneous clusters and supercomputing environments.
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Job Accounting System
Job Accounting System is enterprise software that records and reports resource usage and costs for individual jobs or batch workloads, enabling cost allocation, capacity planning, and audit reporting across mainframe, HPC, and large-scale shared computing environments.
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Job Array
Job array is a batch computing construct that groups many similar jobs into a single submission, each with a unique index, enabling enterprises to manage large-scale parameter sweeps and independent tasks efficiently under shared resource, policy, and accounting controls.
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Job Dependency
Job dependency is a defined relationship between jobs in a scheduling or orchestration system where one job’s execution depends on the completion or status of another, enabling controlled sequencing of workloads that support enterprise data processing, batch operations, and reporting.
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Job Execution Manager
Job Execution Manager is a software component or service that coordinates, schedules, and monitors batch or asynchronous jobs in enterprise environments, enabling policy-based execution, centralized control, and auditable operation of computational workloads across distributed or hybrid infrastructures.
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Job Orchestration API
Job Orchestration API is a programmable interface that allows enterprises to define, schedule, coordinate, and monitor automated jobs and workflows across systems, supporting centralized control, governance, and observability of operational and data-processing workloads in heterogeneous IT environments.
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Job Orchestration Engine
Job orchestration engine is a software component that centrally schedules and coordinates automated jobs and workflows across systems, enabling controlled, auditable execution of interdependent processes that support enterprise operations, data processing, and compliance requirements in heterogeneous IT and cloud environments.
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Job Performance Profiler
Job Performance Profiler is a workforce analytics function that evaluates employee work data to support performance management, workforce planning, and HR decision-making in enterprise environments.
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Job Power Cap
Job Power Cap is a configuration or policy mechanism that imposes a maximum power budget on an individual compute job in clustered or high-performance computing environments, enabling power-aware scheduling and alignment of workloads with fixed data center power constraints.
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Job Queue
Job queue is a computing mechanism that stores and orders units of work for asynchronous processing by workers, allowing enterprises to decouple job submission from execution and coordinate background, batch, or noninteractive workloads under controlled policies.
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Job Queue Manager
Job Queue Manager is software or a service that administers the submission, ordering, prioritization, and execution tracking of jobs across shared computing resources, helping enterprises control workload processing, enforce policies, and maintain observability over batch and asynchronous operations.
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Job Scheduler
Job scheduler is software that automates and coordinates the execution of batch jobs and workflows across IT environments based on defined schedules, dependencies, and policies, supporting predictable processing windows, compliance timelines, and centralized operational control in enterprise settings.
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Job Scheduler Plugin
Job scheduler plugin is a modular software component that connects an enterprise scheduling or orchestration platform to specific environments or workloads, enabling centralized configuration, execution, and monitoring of batch or time-based jobs across heterogeneous infrastructure and applications.
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Job Submission Portal
Job submission portal is a software or web-based interface that allows users to submit and manage computational jobs on shared resources such as HPC clusters or cloud batch systems, providing policy control, monitoring, and integration with enterprise identity and governance.
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Job Submission Script
Job submission script is a text-based file used in high-performance computing and clustered environments to declare resource needs, runtime parameters, and scheduler directives for batch jobs, enabling reproducible execution, policy enforcement, and auditable resource usage across shared enterprise compute infrastructure.
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Joint All-Domain Operations
Joint All-Domain Operations is a U.S. Department of Defense operational concept for integrating military activities across land, air, maritime, space, cyberspace, and the electromagnetic spectrum to enable coordinated effects, guide capability development, and define interoperability and data-sharing requirements for joint and coalition forces.
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Josephson Junction
Josephson junction is a quantum electronic device comprising two superconductors separated by a thin barrier that supports supercurrent via the Josephson effect, relevant to superconducting qubits, digital logic, and precision voltage standards in specialized enterprise, research, and metrology environments.
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JSON
JSON (JavaScript Object Notation) is a text-based data interchange format that encodes structured data as name-value pairs and arrays, widely used in APIs, microservices, and logging because it is language independent and supported across enterprise application, data, and security platforms.
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JSONL
JSONL (JSON Lines) is a plain-text format that stores one JSON object per line to support streaming, log aggregation, and large-scale data ingestion in enterprise systems, enabling line-oriented processing across data pipelines, observability stacks, and analytics or machine learning workflows.