Providing good quality of service (e.g., low response times) in distributed computer systems requires measuring enduser perceptions of performance. Unfortunately, such measures are often expensive or impossible to obtain. Herein, we propose a machine-learning approach to recognizing enduser transactions consisting of sequences of remote procedure calls (RPCs) received at a server. Two problems ...

In this paper, we propose an algorithm called PITP-Miner that utilizes a projection based approach to mine frequent inter-transaction patterns efficiently. The algorithm only searches for local frequent items in a projected database that stores potential local inter-transaction items and partitions the database into a set of smaller databases recursively. In addition, two pruning strategies are...

Different versions of peer-to-peer electronic cash exist as data represented by separate blockchains. Payments between such systems cannot be sent directly from one party to another without going through a financial institution. Bitcoin provided part of the solution but its utility is limited to intra-blockchain transactions. The benefits are lost if a trusted third party is required to execute...

From March 1998, the inter-bank settlement of most high value wholesale payments in New Zealand will occur on a real time gross settlement (RTGS) basis. This means that the interbank transfer of funds associated with each such payment will be posted to the exchange settlement accounts of the paying and receiving banks at the Reserve Bank, transaction by transaction, irrevocably and ahead of val...

Parallel database systems have to support both inter-transaction as well as intra-transaction parallelism. Inter-transaction parallelism (multi-user mode) is required to achieve high throughput, in particular for OLTP transactions, and sufficient cost-effectiveness. Intratransaction parallelism is a prerequisite for reducing the response time of complex and dataintensive transactions (queries)....

Although support has been used as a fundamental measure to determine the statistical importance of an itemset, it can’t express other richer information such as quantity sold, unit profit, or other numerical attributes. To overcome the shortcoming, utility is used to measure the semantic importance and several algorithms for utility mining have been proposed. However, existing algorithms for ut...

This study builds on developments in transaction cost economics to examine how institutional environment and transaction (project) characteristics affect governance of inter-firm alliances. The focus is on the choice between equity and contractual alliance forms under differing regimes of intellectual property protection and other national institutional features. Empirical results identify tran...

Global ocean salinity/temperature variations are attracting increasing attention, due to their influence on ocean-atmospheric changes and their potential for improved climate forecasting. The goal is to analyze historic salinity/temperature data to make predictions about future variations. Traditional statistical models that assume data independence are not applicable as ocean data are often in...

C. Mohan and I. Narang. Recovery and coherency-control protocols for fast inter-system page transfer and ne-granularity locking in a shared disks transaction environment .