The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper we investigate the general problem of controlling a scientic workflow service in termsof data management. We focus on the data managementproblem for the RedisDG scientific workflow engine.RedisDG is based on the Publish/Subscribe paradigmfor the interaction between the different componentsof the system, hence new issues appear for scheduling. Indeed, the Publish/Subscribe paradigm utilization...
Currently, container technology has increasingly grown up in cloud environment. However, the research related with resource management for container has not been considered actively. To manage resources on cloud with container efficiently, we present the GPSF, General-Purpose Scheduling Framework. This framework provides useful resource management functions, and more importantly it is possible to...
The world is driven by data intensive applications and eventually volume of data is generated out of these applications. These data do not yield benefits in its native form. It requires a different mechanism to collect, store, process and derive insights from these data. Apache Hadoop is one of the open source frameworks intended for this purpose. Apache Hadoop provides mechanism to distribute the...
Cloud computing is a commercial application of distributed system. With the rapid development of cloud computing, resource management problem has been widely studied and discussed. Most of the existing researches concern resource allocation by launching virtual machines, however, instant monitoring of the hosts, load balancing of the cloud platform is much more important for cloud providers. In this...
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 this paper, we develop an efficient design for a decision engine (DE) with anti-jamming (AJ) capability for advanced wideband satellite communication (SATCOM) systems. Our goal is to design a decision engine that evaluates the statistical observations of spectrum and link metrics provided by the co-located dynamic spectrum access (DSA) components. Upon the evaluation of the observations provided...
This paper presents an Elastic Cloud Resource Allocation scheme that allocates minimal cloud VM resources that are needed to satisfy a given Service Level Objective (SLO) response time for cloud based elastic applications. More importantly, the algorithm attempts to mitigate any response time violation that could arise during the provisioning of cloud VM instances. Our proposed scheme utilizes queueing...
Modern schedulers running on HPC systems traditionally consider the number of resources and the time requested for each job that is to be executed when making scheduling decisions. Until recently this has been sufficient, however as systems get larger, other metrics like power consumption become necessary to ensure system stability. In this paper, we propose a data driven scheduling approach for controlling...
This paper proposes an effective autonomous task allocation method that can achieve efficient cooperative work by divisional cooperation in multi-agent contexts. Computer and network technology has enabled agents/robots to behave autonomously and to be used in a variety of applications such as cleaning and security patrolling. However, to cover large environments, cooperation and collaboration among...
Android operating system has become one of the most popular smartphone platforms. A large number of applications are developed for Android Runtime (ART). Garbage Collection (GC) is an essential function of ART for Java-based applications. GC suspends all the application threads, called Stop The World (STW), and sacrifices application's performance. For reducing pauses to check heap, generational GC...
Cloud-based applications require dynamic resource allocation to cope with changing workloads and unexpected request spikes. The use of container technology increases manageability, portability, and scalability, but changes how the applications are provisioned and maintained. This paper presents MicroCloud, a novel architecture for providing multiple containerized applications with fine-grained resource...
Environment concerns have gained more and more prevalence in the past decades, as better data and alarming prognosis regarding energy efficiency emerge from research. The private business sector already started to join the efforts with participation from both large companies and SMEs. Nowadays, in order to reduce energy costs and avoid penalties, companies concern themselves with an efficient use...
Autonomous systems are expected to be capable of performing many core functions with little or no human intervention. Many of the other functions required for overall success, however, still involve human supervision, manual control, or direct performance by a human. This paper presents the conceptual framework known as operator role theory, and specifically the concept of executive control (rather...
Business organizations across the world are increasingly articulating their commitment to build sustainable enterprises. Environmental stewardship, conscious and responsible consumption of natural resources required for day-to-day operations, is integral to this agenda. In this paper, we illustrate how a multinational enterprise has made significant strides in monitoring, conserving and improving...
As the development of Internet and mobile device increases, there is a correspondingly increasing amount of data produced by users of such technology worldwide. It is thus essential to analyze such massive amounts of data reflective of the big data era. Recently, Apache Spark has become popular for analyzing big data, since it can process streaming data and support real-time in-memory computing. Also,...
Allocating resources to virtualized network functions and services to meet service level agreements is a challenging task for NFV management and orchestration systems. This becomes even more challenging when agile development methodologies, like DevOps, are applied. In such scenarios, management and orchestration systems are continuously facing new versions of functions and services which makes it...
Life-cycle management of stateful VNF services is a complicated task, especially when automated resiliency and scaling should be handled in a secure manner, without service degradation. We present FlowSNAC, a resilient and scalable VNF service for user authentication and service deployment. FlowSNAC consists of both stateful and stateless components, some of that are SDN-based and others that are...
In order to capture all the fault points of voltage sag in distribution network, based on improved MRA method, an optimal allocation method of voltage sag monitors in multi voltage grades distribution network is proposed. All buses in the system are classified according to the voltage grades. When the fault point is located at different voltage grades of the system, the corresponding zero sequence...
Cloud federation is the way to integrate various cloud data centers from a single vendor or multiple vendors for better resource sharing. This paper looks in to various cloud federation aspects with associated challenges and solutions. Few key challenges mentioned are networking delay, data corruption while transit, handling the control signal, security, QoS guarantees, etc. Various state of the art...
With improving efficiency and cost effectiveness of public cloud systems, there has been a growing trend to complement in-house cloud environment with them. We propose an open solution to the problem of distributing jobs in a hybrid environment, as a substitute to hadoop systems which are cloud specific. The proposed system, MultiStack, is a big data orchestration platform for deploying big data jobs...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.