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This paper presents the various mechanisms for virtual machine image distribution within a large batch farm and between sites that offer cloud computing services. The work is presented within the context of the Large Hadron Collider Computing Grid (LCG), it has two main goals. First it aims at presenting the CERN specific mechanisms that have been put in place to test the pre-staging of virtual machine...
Grid portal is a secure web environment where user can monitor and execute grid applications, access grid resources, services, and collaborate with other users. A grid portal allows an organization to have a single URL that enables users to gain browser-based access to applications and any customized information in a virtualized, unified and secure way. The main requirement for this grid portal is...
A cloud-based, highly consumable queuing service must provide extreme scalability, flexible models of consistency, and high availability in the presence of network partitions. CAP theorem states that at most two of the three properties - Consistency, Availability, and Partition Tolerance - can be achieved at the same time for any shared data system. This paper presents the design and implementation...
Compilation Server (CS) is a server-assist mechanism to eliminate or reduce the compilation overhead. CS can compile and optimize code on behalf of clients. Modern JVM implementations interleave execution with compilation of “hot” methods to achieve reasonable performance. Since compilation overhead impacts the execution time of the application and induces run-time pauses, we explore offloading compilation...
Modern cryptanalytic algorithms require a large amount of computational power. An approach to cope with this requirement is to distribute these algorithms among many computers and to perform the computation massively parallel. However, existing approaches for distributing cryptanalytic algorithms are based on a client/server or a grid architecture. In this paper we propose the usage of peer-to-peer...
The increasing ability to track and collect large amounts of data with the use of current hardware and software technology has lead to immense challenge and consequent interest in the development of data mining algorithms which preserve user security and privacy in a large distributed system. Secure data aggregation with privacy preserving feature is a demanding task. Privacy preservation is becoming...
Engineering and scientific applications usually require to manage large quantities of data with different programs. The I/O demands of these applications get higher as they get larger because processor and memory speed increase. In order to improve performance and make programming much easier these applications can use parallel file systems. The relation between performance and easiness of programming...
This paper mainly highlights the technical challenges addressed while deploying an end user specific real time Geospatial collaborative system on the top of GARUDA Grid. The grid simulation results has been gathered in a automated mode from the computing clusters of the Grid and the results of equal time stamp have been merged by a centralized image processing unit which has been connected to a `Master...
The Internet has become a worldwide commercial enterprise serving millions. Usage accounting is needed to support network management and cost recovery for the present day Internet. The new user base demands consistently high quality service and reliability, and their applications impose strenuous service requirements. These Internet applications rely on IP addresses for accounting and service provisioning...
Ontology databases in Semantic Grid can grow very large making it more complex and difficult to manage. Sub-ontology extraction in compliance with the user requirements paves the way for sub-ontology reuse in sub-ontology/ontology tailoring. As new developments and discoveries are unleashed, or when sub-ontology will be reused, the need to update the extracted sub-ontology is deemed necessary. In...
Data Grid depends on a set of widely distributed and un-trusted storage nodes in Grid environment. Securing a Grid environment presents a distinctive set of challenges. These security challenges must be carefully managed before fully deploying Data Grids in sensitive distributed environments. In this paper we propose a cryptographic protocol able to fulfil the storage security requirements for Data...
Performance isolation is desirable in virtual machine based infrastructures to meet Service Level Objectives (SLO). In performance isolation, ideally, no virtual machine should affect performance of other co hosted virtual machine. Virtual machine scheduler is the key in allocating resources among virtual machines. This fact attracts attention towards scheduling, as fairness and resource isolation...
Aggregating the capacity and bandwidth of the commodity disks in the nodes of a cluster provides cost effective and high performance storage systems. Nevertheless, this strategy could be a feasible approach only if the mean time to failure of disks and nodes is faced. The number of failures increases with the nodes and it is especially important in parallel file systems, like PVFS, because having...
It is a great idea to make many normal computers together to get a super computer, and this computer can do a lot of things. This is the concept of cloud computing. Cloud computing is an emerging model of business computing. And it is becoming a development trend. This article compares cloud computing and grid computing. Internet has connected all the computers in the world. Grid computing has been...
A new methodology of distributed mobile geographic information system (GIS) grid model is studied based on mobile agent and grid computing environment. Key technologies are presented in the model, including mobile agent (MA) distributed computing, grid computing, mobile GIS, global positioning system (GPS), transfer control protocol/internet protocol (TCP/IP), and user datagram protocol (UDP). In...
The data replication is a very important technique for the availability of data in the grids. One of the challenges in data replication is the replicas placement. In this paper, we present our contribution by proposing a replicas placement strategy in a hierarchical grid. Our approach is based on a dynamic threshold, contrary to the other strategies of replicas placement which use a static threshold...
Grid computing is an innovative approach permitting the use of computing resources which are far apart and connected by Wide Area Networks. This recent technology has become extremely popular to optimize computing resources and manage data and computing workloads. The aim of this paper is to propose a metacomputing approach for the winner determination problem in combinatorial auctions (WDP). The...
With the development of Grid technology and the extension of Grid application areas, it needs to provide core infrastructure platform and the necessary functional components for large-scale resources sharing and collaboration. Based on the previous implementation of interactive Grid visualization system, this paper extends its runtime environment layer to provide Grid supports for the existing distributed...
Diagnosis of students with learning disabilities has long been a difficult issue as it requires extensive man power and takes a long time. Through genetic algorithm based feature selection method and genetic based parameters optimization, artificial neural network (ANN) classifier has proven to be a good predictor to the diagnosis of students with learning disabilities. In this study, we keep focusing...
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