To efficiently support many online teleprocessing users on large host systems, which system designs are typically developed and integrated?

Introduction / Context:
Teleprocessing involves many remote users interacting with centralized applications. Scaling such environments requires improvements across connectivity, CPU scheduling, and memory management so that users receive responsive service even under heavy, diverse workloads.

Given Data / Assumptions:

• Large multi-user hosts handle concurrent sessions.
• Users connect over networks with variable latency and throughput.
• Resource contention must be controlled to maintain responsiveness.

Concept / Approach:
Communication systems provide robust networking stacks, terminal support, and session control. Multiprogramming allows many processes to share CPU by time slicing and prioritization. Virtual storage (virtual memory) decouples logical address space from physical RAM, enabling larger working sets and isolation between users and applications.

Step-by-Step Solution:

Verification / Alternative check:
System metrics show higher session counts, better average response times, and reduced swap/queue delays when communications, scheduling, and memory subsystems are jointly engineered for teleprocessing workloads.

Why Other Options Are Wrong:

• Any single component alone cannot deliver scalable multi-user performance.
• “None” is incorrect; all listed components are standard pillars of scalable host design.

Common Pitfalls:
Tuning one subsystem while neglecting the others; over-committing sessions without adequate memory; ignoring network back-pressure and buffer sizing that affect end-to-end latency.

Final Answer:
All of the above