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A large number of modern applications and systemsare cloud-hosted, however, limitations in performance assurancesfrom the cloud, and the longer and often unpredictable endto-end network latencies between the end user and the cloudcan be detrimental to the response time requirements of theapplications, specifically those that have stringent Quality ofService (QoS) requirements. Although edge resources,...
In order to boost the performance of data-intensive computing on HPC systems, in-memory computing frameworks, such as Apache Spark and Flink, use local DRAM for data storage. Optimizing the memory allocation to data storage is critical to delivering performance to traditional HPC compute jobs and throughput to data-intensive applications sharing the HPC resources. Current practices that statically...
Limited power budgets will be one of the biggest challenges for deploying future exascale supercomputers. One of the promising ways to deal with this challenge is hardware overprovisioning, that is, installingmore hardware resources than can be fully powered under a given power limit coupled with software mechanisms to steer the limited power to where it is needed most. Prior research has demonstrated...
With cloud computing consolidation, Platform-as-a-Service (PaaS) has been used as a solution for developing applications with low cost and maximum flexibility. However, an open challenge related to PaaS is the proper handling of multi-tier and stateful applications with support for high availability (HA); and scalability can be considered an essential feature for HA. However, dealing with several...
Workflows are a widely used abstraction for describing large scientific applications and running them on distributed systems. However, most workflow systems have been silent on the question of what execution environment each task in the workflow is expected to run in. Consequently, a workflow may run successfully in the environment it was created, but fail on other platforms due to the differences...
A goal of cloud service management is to design self-adaptable auto-scaler to react to workload fluctuations and changing the resources assigned. The key problem is how and when to add/remove resources in order to meet agreed service-level agreements. Reducing application cost and guaranteeing service-level agreements (SLAs) are two critical factors of dynamic controller design. In this paper, we...
Consolidating applications of conflicting service level objectives (SLOs) to share virtualized resources in cloud datacenters requires efficient resource management to ensure overall high Quality-of-Service (QoS). Applications of different performance targets often exhibit different resource demands. Thus, it is not trivial to translate individual application SLOs to corresponding resource shares...
This work proposes a framework for proactive resource allocation in IaaS clouds to improve the system performance. In this system framework, the over-commit approach is applied to improve resource utilization and to show the performance impact. Although the over-commit approach could obtain better resource utilization, there are still some risks. When the amount of aggregated resources requested by...
The integration of both fronthaul and backhaul into a single transport network (namely, 5G-Crosshaul) is envisioned for the future 5G transport networks. This requires a fully integrated and unified management of the fronthaul and backhaul resources in a cost-efficient, scalable and flexible way through the deployment of an SDN/NFV control framework. This paper presents the designed 5G-Crosshaul architecture,...
Due to the inherent property of the processing resource request from mobile active or passive devices as part of internet of things (IoT), processing capacity as well as latency become major optimization criteria. To achieve overall optimized uses of cloud resources - having dynamic tracking, monitoring as well as orchestration framework is one of the key challenges to overcome. In the same context,...
According to a recent study, 30% of VMs in private cloud data centers are "comatose", in part because there is generally no strong incentive for their human owners to delete them at an appropriate time. These inactive VMs are still scheduled and executed on physical cloud resources, taking valuable access away from productive VMs. In an extreme, cloud infrastructure may deny legitimate requests...
Containers are rapidly replacing Virtual Machines (VMs) as the compute instance of choice in cloud-based deployments. The significantly lower overhead of deploying containers (compared to VMs) has often been cited as one reason for this. We analyse performance of the Kubernetes system and develop a Reference net-based model of resource management within this system. Our model is characterised using...
Virtualization technology not only improves the utilization rate of server resources effectively, but also realizes resource restructuring management, so as to meet the diversity of different user's needs. Cloud computing technology can be widely used depends on the virtualized resource scheduling can timely and reliably guarantee user service quality. So efficient and flexible resource scheduling...
With the rise of more resourceful unmanned aerial vehicles (UAVs), their inclusion into robotic sensor networks (RSNs) is inevitable. The highly mobile nature of UAVs allows greater monitoring capabilities, making them most suitable for RSNs. Compared to traditional nodes in RSNs, UAVs suffer even more from communication disruptions and energy depletion, must often rapidly determine actions for themselves,...
The issue of the workforce management in the field is crucial for infrastructure operators. A key role is played by workforce management systems that assign workers with the right skills at the optimal time in the right place, so long-term compliance with the required quality parameters is met at the lowest possible costs. Historical development and theoretical basics of workforce management systems...
Modern user facing applications consist of multiple processing stages with a number of service instances in each stage. The latency profile of these multi-stage applications is intrinsically variable, making it challenging to provide satisfactory responsiveness. Given a limited power budget, improving the end-to-end latency requires intelligently boosting the bottleneck service across stages using...
The search of latent dependencies and the analysis of text collections are important tasks in the context of rapid development of information technologies. This article describes the identification of scientific and technological trends in the field of it-technologies using the analysis of thematic publications from web sources with LDA topic models. The proposed solution uses a formal criterion to...
Deterministically Synchronized Sequential Process (DSSP) are modular Petri Net (PN) systems composed by a set of state machines PNs (called also agents) cooperating in a distributed way through asynchronous message passing. Messages can delay the normal execution of agents, but to not addition the resolution of conflicts. The modular structure of DSSP allows strong analytical results, (for example,...
The rapid development of web applications has greatly improved people's work and life. Cloud computing can provide resources on-demand, hybrid cloud is a popular solution. In this paper, we design a platform which can auto-scale web applications in hybrid cloud based on docker. We use docker container technology to deploy web applications on hybrid cloud hosts, and add or delete docker containers...
Cloud architectures have become increasing common in the IT industry and academic circle. However, most cloud architectures only focus on availability but ignore economic effectiveness. Based on Eucalyptus, this paper proposes an effective way to balance high availability and economic profits. We designed a forecast mechanism using three new modules: the forecast module, adjustment module, and collection...
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