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In recent years, we have witnessed a growing interest in optimizing the parallel and distributed computing solutions using scaled-out hardware designs and scalable parallel programming paradigms. This interest is driven by the fact that the microchip technology is gradually reaching its physical limitations in terms of heat dissipation and power consumption. Therefore and as an extension to Moore's...
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...
With the growing scale of current computing systems, traditional configuration tuning methods become less effective because they usually assume a small number of parameters in the system. In order to handle the scalability issue of configuration tuning, this paper proposes a cooperative optimization framework, which mimics the behavior of team playing to discover the optimal configuration setting...
To optimize the multimedia proxy server effectively, this paper proposes a gain-based cache replacement policy using the multimedia proxy server gain model. The performance of the proposed gain-based policy is evaluated by simulation experiments. We compare it with some typical cache replacement policies in terms of the improvement on video quality, start-up delay, network resource cost.
Despite advances in high performance inter-domain communication for virtual machines (VM), data intensive applications developed for VMs based on traditional remote procedure call (RPC) mechanism still suffer from performance degradation due to the inherent inefficiency of data serialization/deserilization operation. This paper presents VMRPC, a light-weight RPC framework specifically designed for...
Server consolidation based on virtualization is an important technique for improving power efficiency and resource utilization in cloud infrastructures. However, to ensure satisfactory performance on shared resources under changing application workloads, dynamic management of the resource pool via online adaptation is critical. The inherent tradeoffs between power and performance as well as between...
We report Linpack benchmark results on the TSUBAME supercomputer, a large scale heterogeneous system equipped with NVIDIA Tesla GPUs and ClearSpeed SIMD accelerators. With all of 10,480 Opteron cores, 640 Xeon cores, 648 ClearSpeed accelerators and 624 NVIDIA Tesla GPUs, we have achieved 87.01TFlops, which is the third record as a heterogeneous system in the world. This paper describes careful tuning...
A very ambitious objective in the field of policy-based systems is the provision of an intuitive and transparent way for policy specification, refinement and enforcement. This is one of the key enabling technologies for a simplified security management of complex networked environments. Currently, security policies are enforced by configuring the end devices by means of low-level device-specific parameters...
The trend of using virtualization for server consolidation is more and more popular in enterprise data center. However, on-demand resource allocation among the concurrent hosted services in such a virtualized environment is still a challenge. In order to optimize resource allocation among services in data center, this paper proposes a multi-tiered resource scheduling scheme which automatically provides...
The paper deals with the study of the optimisation of the distribution of the download time from a particular video on demand system. This VOD system is based on grid delivery network which is an hybrid architecture based on P2P and grid computing concepts. In this system, the data are shrunk into fixed size blocks which must be replicated on hosts to decrease the total download time. We propose an...
The COW (copy-on-write) virtual block device supported by many virtual machine monitor (VMM) is very helpful for fast software deployment in large-scale virtualized computing environments. This paper presents an optimized block addressing approach for the COW block device driver in VMM and an on-demand software deployment scheme based on the optimization approach. With our approach, many small-sized...
In this paper, we examine the data replication problem in a particular grid delivery network (GDN). In this system, the data are divided into fixed size blocks which must be replicated on hosts to decrease the total download time. We propose a probabilistic model to optimize the average download time of requests based on the hosts availability and the document size distribution. The objective function...
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