Mitigation of Delayed Management Costs in Transaction-Oriented Systems

TL;DR

This paper investigates how to reduce long-term management costs in transaction-oriented networks by adjusting operational costs, thereby improving network resilience and preventing node failures due to cost overloads.

Contribution

It introduces a method to mitigate exponential growth of management costs by integrating future costs into transient operational expenses, enhancing network robustness.

Findings

Long-term management costs can be absorbed into transient operational costs.

Resilience of TONs is linked to both workload and node fault rates, which can be equivalent.

Cost mitigation improves network stability and reduces failure risk.

Abstract

Abundant examples of complex transaction-oriented networks (TONs) can be found in a variety of disciplines, including information and communication technology, finances, commodity trading, and real estate. A transaction in a TON is executed as a sequence of subtransactions associated with the network nodes, and is committed if every subtransaction is committed. A subtransaction incurs a two-fold overhead on the host node: the fixed transient operational cost and the cost of long-term management (e.g. archiving and support) that potentially grows exponentially with the transaction length. If the overall cost exceeds the node capacity, the node fails and all subtransaction incident to the node, and their parent distributed transactions, are aborted. A TON resilience can be measured in terms of either external workloads or intrinsic node fault rates that cause the TON to partially or fully choke. We demonstrate that under certain conditions, these two measures are equivalent. We further show that the exponential growth of the long-term management costs can be mitigated by adjusting the effective operational cost: in other words, that the future maintenance costs could be absorbed into the transient operational costs.