Information Services for the Web: Building and Maintaining Domain Models

Gal, Avigdor; Kerr, Scott; Mylopoulos, John

doi:10.1142/s0218843099000125

Cited by 5 publications

(2 citation statements)

References 6 publications

(10 reference statements)

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“…In seeking ways to ensure that at all times there are available resources to service user requests, prominent retailers and corporations plan/implement backbone multi-server systems capable of isolating classes of requests [2,4,9,11,19]. In doing so, organizations can overcome overload and response delays.…”

Section: Efficient Access For Massive E-commerce User Communitiesmentioning

confidence: 99%

Efficient Processing of Client Transactions in Real-Time

Kanitkar

Delis²

2005

Distributed and Parallel Databases

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Abstract. In traditional client-server databases, a transaction and its requisite data have to be colocated at a single site for the operation to proceed. This has usually been achieved by moving either the data or the transaction. However, the availability of high-bandwidth networking options has led users of today's systems to expect realtime guarantees about the completion time of their tasks. In order to offer such guarantees in a client-server database system, a transaction should be processed by any means that allows it to meet its deadline. To this end, we explore the option of moving both transactions and data to the most promising sites for successful completion. We propose a load-sharing framework that oversees the shipment of data and transactions so as to increase the efficiency of a cluster consisting of a server and a number of clients. Here, efficiency is defined as the percentage of transactions successfully completed within their deadlines by the cluster. The suitability of a client for processing a transaction is measured with respect to the availability of the transaction's required data in its local cache. In addition to the load-sharing algorithm, we use the concept of grouped locks, along with transaction deadline information, in order to schedule the movement of data objects in the cluster in a more efficient manner. We evaluate the real-time processing performance of the client-server architecture using detailed experimental testbeds. Our evaluation indicates that it is possible, in many situations, to achieve better performance than a centralized system.

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Section: Efficient Access For Massive E-commerce User Communitiesmentioning

confidence: 99%

Efficient Processing of Client Transactions in Real-Time

Kanitkar

Delis²

2005

Distributed and Parallel Databases

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“…Communities: In seeking ways to ensure that there are available resources to service user requests at all times, prominent retailers and corporations plan and implement multiserver systems capable of isolating classes of requests [2], [3], [5], [14]. In doing so, organizations can overcome server overloads and response delays.…”

Section: Efficient Access For Massive E-commerce Usermentioning

confidence: 99%

Real-time processing in client-server databases

Kanitkar

Delis²

2002

IEEE Trans. Comput.

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Member, IEEE Computer Society AbstractÐIn this paper, we propose and experimentally evaluate the use of the client-server database paradigm for real-time processing. To date, the study of transaction processing with time constraints has mostly been restricted to centralized or ªsingle-nodeº systems. Recently, client-server databases have exploited locality of data accesses in real-world applications to successfully provide reduced transaction response times. Our objective is to investigate the feasibility of real-time processing in a data-shipping clientserver database architecture. We compare the efficiency of the proposed architecture with that of a centralized real-time database system. We discuss transaction scheduling issues in the two architectures and propose a new policy for scheduling transactions in the client-server environment. This policy assigns higher priorities to transactions that have a greater potential for successful completion through the use of locally available data. Through a detailed performance scalability study, we investigate the effects of client dataaccess locality and various updating workloads on transaction completion rates. Our experimental results show that real-time clientserver databases can provide significant performance gains over their centralized counterparts. These gains become evident when large numbers of clients (more than 40) are attached per server, even in the presence of high data contention. Index TermsÐClient-server databases, real-time transaction processing, experimental performance evaluation.

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Customizable Service Integration in Web-Enabled Environments

Kontogiannis

Gregory

2001

Engineering Distributed Objects

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Information Services for the Web: Building and Maintaining Domain Models

Cited by 5 publications

References 6 publications

Efficient Processing of Client Transactions in Real-Time

Efficient Processing of Client Transactions in Real-Time

Real-time processing in client-server databases

Customizable Service Integration in Web-Enabled Environments

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