The Experts below are selected from a list of 81 Experts worldwide ranked by ideXlab platform
Jemal H Abawajy - One of the best experts on this subject based on the ideXlab platform.
-
a framework for implementing aSynchronous Replication scheme in utility based computing environment
International Conference on Cloud Computing, 2015Co-Authors: Wan Nor Shuhadah Wa Nik, Ing Bing Zhou, Albe Y Zomaya, Jemal H AbawajyAbstract:This paper addresses a problem on implementing an aSynchronous Replication scheme in utility-based computing environment. The problem needs a special attention as most of the existing Replication scheme in this computing system whether implicitly support Synchronous Replication and/or only consider read-only job. Therefore, we propose an intelligent framework that can reinforce an effective resource selection scheme by allowing the components that give impact on the performance such as resource/data freshness of the replicated system in such environment to be considered. We exploit an Update Ordering (UO) approach and reconcile these components in designing the framework. Important issues such as job propagation delay and job propagation rules are especially addressed. Our experiments show that the proposed framework is capable to become a platform of an effective resource selection scheme and achieve a good result with good system performance as compared to existing algorithms.
Wan Nor Shuhadah Wa Nik - One of the best experts on this subject based on the ideXlab platform.
-
a framework for implementing aSynchronous Replication scheme in utility based computing environment
International Conference on Cloud Computing, 2015Co-Authors: Wan Nor Shuhadah Wa Nik, Ing Bing Zhou, Albe Y Zomaya, Jemal H AbawajyAbstract:This paper addresses a problem on implementing an aSynchronous Replication scheme in utility-based computing environment. The problem needs a special attention as most of the existing Replication scheme in this computing system whether implicitly support Synchronous Replication and/or only consider read-only job. Therefore, we propose an intelligent framework that can reinforce an effective resource selection scheme by allowing the components that give impact on the performance such as resource/data freshness of the replicated system in such environment to be considered. We exploit an Update Ordering (UO) approach and reconcile these components in designing the framework. Important issues such as job propagation delay and job propagation rules are especially addressed. Our experiments show that the proposed framework is capable to become a platform of an effective resource selection scheme and achieve a good result with good system performance as compared to existing algorithms.
Ing Bing Zhou - One of the best experts on this subject based on the ideXlab platform.
-
a framework for implementing aSynchronous Replication scheme in utility based computing environment
International Conference on Cloud Computing, 2015Co-Authors: Wan Nor Shuhadah Wa Nik, Ing Bing Zhou, Albe Y Zomaya, Jemal H AbawajyAbstract:This paper addresses a problem on implementing an aSynchronous Replication scheme in utility-based computing environment. The problem needs a special attention as most of the existing Replication scheme in this computing system whether implicitly support Synchronous Replication and/or only consider read-only job. Therefore, we propose an intelligent framework that can reinforce an effective resource selection scheme by allowing the components that give impact on the performance such as resource/data freshness of the replicated system in such environment to be considered. We exploit an Update Ordering (UO) approach and reconcile these components in designing the framework. Important issues such as job propagation delay and job propagation rules are especially addressed. Our experiments show that the proposed framework is capable to become a platform of an effective resource selection scheme and achieve a good result with good system performance as compared to existing algorithms.
Albe Y Zomaya - One of the best experts on this subject based on the ideXlab platform.
-
a framework for implementing aSynchronous Replication scheme in utility based computing environment
International Conference on Cloud Computing, 2015Co-Authors: Wan Nor Shuhadah Wa Nik, Ing Bing Zhou, Albe Y Zomaya, Jemal H AbawajyAbstract:This paper addresses a problem on implementing an aSynchronous Replication scheme in utility-based computing environment. The problem needs a special attention as most of the existing Replication scheme in this computing system whether implicitly support Synchronous Replication and/or only consider read-only job. Therefore, we propose an intelligent framework that can reinforce an effective resource selection scheme by allowing the components that give impact on the performance such as resource/data freshness of the replicated system in such environment to be considered. We exploit an Update Ordering (UO) approach and reconcile these components in designing the framework. Important issues such as job propagation delay and job propagation rules are especially addressed. Our experiments show that the proposed framework is capable to become a platform of an effective resource selection scheme and achieve a good result with good system performance as compared to existing algorithms.
Ahmed N Abdalla - One of the best experts on this subject based on the ideXlab platform.
-
managing heterogeneous database Replication using persistence layer Synchronous Replication plsr
2013Co-Authors: Ahmad Noraziah, Ahmed N AbdallaAbstract:Distributed database Replication in the heterogeneous system is a very promising and challenging platform which is the compound of multi environment. Proper mechanism is significantly required in order to manage the complex heterogeneous data Replication. This paper presents a new algorithm namely the Persistence Layer Synchronous Replication (PLSR) in order to manage the agent handling the Replication. The main objective of this algorithm is to develop an adaptive persistence layer which consisted of reliable and smooth Replication. It achieves faster time execution and cost minimization than that other Replication processes. This algorithm also introduces a multi thread based persistence layer, which supports early binding and parallel connection to the servers. All the Replication servers establish its connection through interfaces, which is furthermore, similar with the SOA (Service Oriented Architecture) and the structure is flexible enough to modify i.e.; adding and removing Replication server. The performance has been compared with SQL Server in terms of transactional inserts and synchronization time. The result shows that PLSR performs outstandingly up to 83.2 % and 2.49% than that SQL server for transactional insert and time synchronization, respectively.
-
framework of persistence layer Synchronous Replication to improve data availability into a heterogeneous system
International Journal of Computer Theory and Engineering, 2013Co-Authors: Ahmad Noraziah, Ahmed N Abdalla, Khandaka RabbiAbstract:Data Replication is an important technique in peer to peer network, data grid architecture, clustering and distributed system, where it increases data availability and enhances data access and reliability and minimizes the cost of data transmission. In this paper, we proposed a framework and structure of Synchronous Replication from the persistence layer that supports heterogeneous system. In this framework, we developed the multithreading based persistence layer. Our objective is to make the persistence layer more adaptive. In this adaptive persistency system, the Replication server will not depend on the main server, so forth, adding a new Replication server will be easier than ever, easy to cope with heterogeneous system, cost minimizing and finally there will be no down time.
-
A novel design and development of persistence layer for heterogeneous Synchronous Replication in data grid
Scientific Research and Essays, 2011Co-Authors: Abu Yazid Noraziah, Ahmed N AbdallaAbstract:Data grid provided a way to solve the problems of large-scale data management. Data-intensive applications such as high-energy physics and Bioinformatics required both computational and data grid features. Replication is a process to achieved efficient and fault-tolerant access in the data grid. Usually, data Replication schemes maintain an entire replica in every site where a file is replicated. It provided an important role in this involving world of the distributed database system. Replication technology should be efficient, thereby facilitates the maintenance costing. Most traditional Replication technique is cost effective and also not considers the heterogeneous system. This paper presented a new model of persistence layer for Synchronous Replication and implemented based on multi-threading in heterogeneous environment. The main objective of this model is to make the persistence layer adaptive and make the Replication process reliable and faster than other existing Replication processes concerning cost minimization. In the proposed Replication technique, the Replication servers are operating system independent and the entire Replication process is not inter dependent nevertheless on the main server. Adding a new Replication server is easier than other processes. The technique also introduces the modification of Replication servers without making impairment to the entire process. The performance of the proposed technique has been compared with SQL Server in terms of transactional inserts and synchronization time. The result shows that PLSR performs outstandingly than SQL server for transactional insert and synchronization in compare to time (seconds). Key word: Data Replication, data grid environment, Synchronous, heterogeneous Replication, multi-threading technique, persistence layer
