Secure on-demand grid computing

Smith, Matthew; Schmidt, Matthias; Fallenbeck, Niels; Dörnemann, Tim; Schridde, Christian; Freisleben, Bernd

doi:10.1016/j.future.2008.03.002

Cited by 35 publications

(12 citation statements)

References 11 publications

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“…In grid computing, there are many security solutions [16,21,22,24,25]. Each one of these solution is explained in detail in their papers to provide insight as to their unique methods of accomplishing grid security.…”

Section: A Securitymentioning

confidence: 99%

Research on Fine-grained Job scheduling in Grid Computing

Liao

Liu²

2009

IJIEEB

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Abstract-Grid computing is the technology used in building Internet-wide computing environment and integrating distributed and heterogeneous resources. However, in Grid environment, job scheduling is confronted with a great challenge. This paper focuses on lightweight jobs scheduling in Grid Computing. An Adaptive Fine-grained Job Scheduling (AFJS) algorithm is proposed. Compared with other fine-grained job scheduling algorithms based on grouping, AFJS can outperform them according to the experimental results. And some other related problems are also illustrated.

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Section: A Securitymentioning

confidence: 99%

Research on Fine-grained Job scheduling in Grid Computing

Liao

Liu²

2009

IJIEEB

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“…This includes the base operating system (which in case of Amazon, Eucalyptus and the XGE [14], [12] is Linux), the user's own applications and the user's data on which the applications operate. However, unlike traditional machines, all data written during the lifetime of a VM in a Cloud environment is temporary in the sense that it is disregarded after shutdown of the VM.…”

Section: Introductionmentioning

confidence: 99%

“…all VMs have to run without swap space, which is a major drawback, especially for memory intensive applications. The presented approaches are implemented in the XGE [14], [12] that provides a basic infrastructure for managing a cluster of virtual machines: machines can be started and stopped per job, and user specific disk images can be deployed to the corresponding physical locations before the machines are started. The XGE offers a live migration facility to migrate VMs during runtime between physical machines.…”

Section: Introductionmentioning

confidence: 99%

Efficient Storage Synchronization for Live Migration in Cloud Infrastructures

Haselhorst

Schmidt

Schwarzkopf

et al. 2011

2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing

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Abstract-Live migration of virtual machines is an important issue in Cloud computing environments: when physical hosts are overloaded, some or all virtual machines can be moved to a less loaded host. Live migration poses additional challenges when virtual machines use local persistent storage, since the complete disk state needs to be transferred to the destination host while the virtual machines are running and hence are altering the disk state. In this paper, several approaches for implementing and synchronizing persistent storage during live migration of virtual machines in Cloud infrastructures are presented. Furthermore, the approaches also enable users to migrate swap space, which is currently not possible on most virtual machine hypervisors. Finally, measurements regarding disk synchronization, migration time and possible overheads are presented.

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“…To solve this problem, the Xen Grid Engine (XGE) has been developed [1]. It uses user-specific Xen virtual machines (VMs) to provide a secure execution environment for jobs in a Grid.…”

Section: Introductionmentioning

confidence: 99%

“…], a cluster scheduler that is used as a backend by the Grid middleware. To simplify the process of creating a custom VM, the Image Creation Station (ICS) has been developed [1]. Using either a web interface or a service-oriented interface, a user can create a VM containing a base installation of a Linux operating system within a few minutes.…”

Section: Introductionmentioning

confidence: 99%

Multi-layered Virtual Machines for Security Updates in Grid Environments

Schwarzkopf

Schmidt

Fallenbeck

et al. 2009

2009 35th Euromicro Conference on Software Engineering and Advanced Applications

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Abstract-The use of user specific virtual machines (VMs) in Grid and Cloud computing reduces the administration overhead associated with manually installing required software for every user on every computational resource. However, a large number of user specific VMs increases the risk of security attacks. In particular, Cloud computing providers like Amazon suffer from these problems, since they offer different operating systems within VMs and delegate the security update problem for VMs to the users. In this paper, a solution that solves the problem by separating a VM into several layers is presented. The approach creates the possibility of installing security updates into a base layer centrally, affecting all VMs without affecting the users' own installed software stack by merging package databases. The proposal permits resource providers to keep a large number of VMs patched with the latest security fixes without bothering the users. Furthermore, the proposal avoids the overhead for transferring possible large VM images over the network between the nodes of a Grid or Cloud by allowing to hold locally cached VM images with a basic operating system installation while only the user-specific software stack stored in a separate layer needs to be transferred.

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Secure on-demand grid computing

Cited by 35 publications

References 11 publications

Research on Fine-grained Job scheduling in Grid Computing

Research on Fine-grained Job scheduling in Grid Computing

Efficient Storage Synchronization for Live Migration in Cloud Infrastructures

Multi-layered Virtual Machines for Security Updates in Grid Environments

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