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The NEPHELE datacenter network is divided into pods/clusters of racks and relies on hybrid electro-optical top-of rack switches that access an all-optical network consisting of WDM rings. To enable dynamic and efficient sharing of the optical resources and a collision-free network operation, the NEPHELE network is designed to operate in a slotted manner with a software-defined-network (SDN) based...
As the number of cloud users are increasing, it becomes essential for cloud service providers to allocate the right amount of resources to virtual machines, especially during live migration. In order to increase the resource utilization and reduce waste, the providers have started to think about the role of over-allocating the resources. However, the benefits of over-allocations are not without inherent...
Recently, adoption of Flash based devices has become increasingly common in all forms of computing devices. Flash devices have started to become more economically viable for large storage installations like datacenters, where metrics like Total Cost of Ownership (TCO) are of paramount importance. Flash devices suffer from write amplification (WA), which, if unaccounted, can substantially increase...
RDF datasets have increased rapidly over the last few years. In order to process SPARQL queries on these large datasets, much effort has been spent on developing horizontally scalable techniques, which involve data partitioning and parallel query processing. While distribution may provide storage scalability, it may also incur high communication costs for processing queries. In this paper, we present...
Cloud computing becomes a buzzword now a day because of its simplicity, reliability, portability and security in maintaining and manipulating services from remote locations in the world. As the uses of cloud computing increase, more and more data centers are deploying throughout the world for providing high quality services to the consumers. The incremental performance of these data centers deserves...
With the proliferation of mobile devices, spatial crowdsourcing is rising as a new paradigm that enables individuals to participate in tasks related to some locations in the physical world. Nevertheless, how to allocate these tasks to proper mobile users and improve communication efficiency are critical in spatial crowdsourcing. In this paper, we propose Fo-DSC, a fog-based deduplicated spatial crowdsourcing...
Disaggregation of IT resources has been proposed as an alternative configuration for data centres. Comparing to the monolithic server approach that data centres are being built now, in a disaggregated data centre, CPU, memory and storage are separate resource blades and they are interconnected via a network fabric. That brings greater flexibility and improvements to the future data centres in terms...
Network resource virtualization emerged as the future of communication technology recently, and the advent of Software Define Network (SDN) and Network Function Virtualization (NFV) enables the realization of network resource virtualization. NFV virtualizes traditional physical middle-boxes that implement specific network functions. Since multiple network functions can be virtualized in a single server...
In cloud systems, efficient resource provisioning is needed to maximize the resource utilization while reducing the Service Level Objective (SLO) violation rate, which is important to cloud providers for high profit. Several methods have been proposed to provide efficient provisioning. However, the previous methods do not consider leveraging the complementary of jobs' requirements on different resource...
In this work, we study the problem of allocating two types of memory, which have different access speeds, to a set of routers in a single content-centric network. Total network delay is adopted as the performance metric. We first formulate the allocation problem and show that it is NP-hard. Then we prove that this problem is monotone submodular with a matroid constraint. Hence, we are able to derive...
We describe a scheduler for multiple servers shared among different packet-flows, where each packet-flow may be served by only a subset of available (preferred) servers. The scheduler allocates tokens to flows in a round-by-round manner, where token allocation to flows at the beginning of each round is weighted max-min fair. We present a packet scheduling scheme where when a server becomes free, it...
Many high-performance computing (HPC) sites extend their clusters to support Hadoop MapReduce for a variety of applications. However, HPC cluster differs from Hadoop cluster on the configurations of storage resources. In the Hadoop Distributed File System (HDFS), data resides on the compute nodes, while in the HPC cluster, data is stored on separate nodes dedicated to storage. Dedicated storage offloads...
Due to the explosive growth in multimedia traffic demand, scalability and delivery efficiency of video-on-demand (VoD) services have become important issues. In this paper, we develop a joint cache allocation and multicast delivery scheme to minimize the average bandwidth consumption of VoD services with client caching under the zero-delay constraint. Specifically, we first propose a client caching...
Recently, there are significant advances in the areas of networking, caching and computing. Nevertheless, these three important areas have traditionally been addressed separately in the existing research. In this paper, we present a novel framework that integrates networking, caching and computing in a systematic way and enables dynamic orchestration of these three resources to improve the end-to-end...
In the last few years, there has been a remarkable growth in the number of data centers, which represent one of the leading sources of increased business data traffic on the Internet. An effect of the growing scale and the wide use of data centers is the dramatic increase of power consumption, with significant consequences both in terms of environmental and operational costs. Hence, energy awareness...
Cloud computing has become a most popular computing pattern in both industry and academia. Infrastructure as a Service (IaaS) cloud platform provides an elastic way to require computing resources in a pay-as-you-go paradigm. While bringing great convenience to both customers and service providers, the cloud platform has some problems demanding prompt solution, one of which is how to achieve energy...
High-definition video applications are often challenging for mobile devices due to their limited processing capability and bandwidth-constrained network connection. Video transcoding has become an inevitable technology for on-demand video streaming service which needs to be done on the go in real-time for mobile devices. Since video transcoding involves extensive computation, performing transcoding...
Resource and buffer allocation problems are well-known topics in manufacturing system research. A proper allocation of resource and space can significantly improve the system performance and reduce the investment cost. However, few works consider the joint problem because of its complexity. Recent research has shown that Discrete Event Optimization (DEO) framework, an integrated simulation-optimization...
In this work, we propose an approach for optimizing Mobile Cloud Computing (MCC) resources allocation using stochastic networks optimization based on Lyapunov optimization. The approach targets reducing users' requests experienced delay while enhancing resource availability. We use Lyapunov drift plus penalty optimization to ensure design stability and to minimise the delay cost function. We perform...
Hadoop, as a popular distributed storage and computing platform, has been widely used in many companies. Yarn is the resource management platform in Hadoop and plays an important role in the resource managing, because it can affect the cluster's energy efficiency and the usability for applications. The schedulers are the brain of Yarn, which manage and schedule resources from cluster to applications...
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