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Modern embedded systems generate a large volume of data that require a highly scalable and available framework that enables computing, storage, and data analysis. Many cloud providers offer unlimited storage as well as a flexible processing infrastructure, allowing for executing a large number of tasks with high performance. This paper presents a framework for extending the local resources of embedded...
by virtual machines and the reduce of resource utilization caused by migration of a single virtual machine in cloud computing , this paper proposes a load balancing strategy based on data correlation in cloud computing. This strategy finds out the migration unit based on the correlation between the data and the virtual machines used to deal with the same data, and construct the load-intensive data...
In a Distributed Virtual Environment (DVE) system, a multi-server infrastructure is often used to improve scalability and responsiveness. With this infrastructure, every client needs to be mapped to a proper server, and the mapping result is crucial because it affects the overall system performance and the users' interactive experiences. Existing mapping methods primarily consider the load balancing...
At large data centers, server load balancing is used to balance the incoming requests among the servers to avoid excessive overloading of any individual server. However the present methods are static and suffer from many drawbacks. Static methods do not offer an even balance of data among servers and require dedicated hardware for load balancing. Hence, dynamic methods are required to enhance the...
Since the Great East Japan Earthquake, We have acknowledged the need for demand response. Therefore, we developed a system of experimental evaluation of fast demand response (fast DR) for small-scale buildings. Using this system, we confirmed that it is possible to achieve more than 10% reduction in energy consumption by controlling the air conditioning. In this paper, we describe outline of the fast...
Software Defined Networking (SDN) has become a popular paradigm for centralized control in many modern networking scenarios such as data centers and cloud. For large data centers hosting many hundreds of thousands of servers, there are few thousands of switches that need to be managed in a centralized fashion, which cannot be done using a single controller node. Previous works have proposed distributed...
This paper presents the design and implementation of an incrementally scalable architecture for middleboxes based on commodity servers and operating systems. xOMB, the eXtensible Open MiddleBox, employs general programmable network processing pipelines, with user-defined C++ modules responsible for parsing, transforming, and forwarding network flows. We implement three processing pipelines in xOMB,...
In this project we introduce an energy-aware processing model used for balancing the load of docker container and job scaling using docker(1). The approach used is to create an energy optimal regime within which the containers operate. An important strategy for energy reduction is concentrating the load on the containers. When the load increases, then by api call a new container can be spawned which...
Cloud computing is an emerging technology in today's world. The services provided by the cloud is like freeware. Resources in cloud will be in shared pool. If any resources wanted in dynamic basis they are requested to shared pool and particular resources will be provided to users. Resources are will be in form of clusters. From these group cluster or master nodes are selected using Advanced Ant colony...
The current trends in Internet based applications shows that the amount of data traffic flowing between networks have increased dramatically over the years. Recently emerged and growing applications such as — Cloud Computing, Big data and Internet of Things have increased the need for more powerful and fast networks that are capable of handling vast and diverse data. The traditional networks are not...
The proliferation of mobiles devices, application sprawl, and the ever-increasing data volume generates significant stress on cellular networks and particularly on the cellular core, also known as the Evolved Packet Core (EPC). This is further exacerbated by the deployment of hardware appliances for the implementation of a wide range of network functions (e.g., gateways, mobility management, firewalls,...
The paper proposes a solution an actual scientific problem related to load balancing and efficient utilization of resources of the distributed system. The proposed method is based on calculation of load CPU, memory, and bandwidth by flows of different classes of service for each server and the entire distributed system and taking into account multifractal properties of input data flows. Weighting...
The overview of network load distribution between of computation nodes inside of data center is given in the paper. The data center model in term of Infrastructure-as-a-Service is proposed. The processor performance utilization and amount of incoming intensity computation of computing nodes are proposed to use as a main performance criteria of service provision to the customers. The evaluation model...
Cloud computing came into the full existence in every field of computing. As the usage of internet increases the cloud user also increases and the volume of data in the cloud also increases. Cloud computing has various characteristics like resource pooling, ubiquity, virtualization, utility computing, pay per uses etc. With all these characteristics there are various important issues which is to be...
Scientific workflows and other large complex problems are benefited from cloud infrastructure for processing, storage and communication. Workflow scheduling is recognized as a well-known NP-complete problem. In this paper, we propose a load-balanced scheduling technique for workflow applications in a cloud environment. The proposed algorithm works in two phases. In the first phase, priorities of all...
In distributed and parallel computing, balancing and scheduling of load is of paramount importance because they help accomplishing the objective of optimizing load on nodes connected in a cluster configuration of heterogeneous network. The need is to cater for dynamic adaptability, autonomous execution, mobility and a degree-of-flexibility especially for application with intermittent connections....
Multipath TCP (MPTCP) brings promising features of throughput improvement and load balancing by utilizing the multiple available paths. However, adding a subflow without awareness of the network state will result in wasting network resources and degrading MPTCP performance. Finding and operating the proper number of subflows are necessary to achieve the best performance of MPTCP. However, an MPTCP...
We propose a high network utilization CONGestion- Aware load balancing approach, Multi-hop CONGA. It aims at improving the performance of handling traffic asymmetry, which happens occasionally in data centers. It leverages regular Clos topology and overlays for virtualization. In this paper, we schedule at the unit of flowlet, which is the burst of packets belonging to a flow, and make routing decisions...
Demand response is widely employed by today's data centers to response to the increasing of electricity cost. To incentivize users of data centers participate in the demand response programs, i.e., breaking the split incentive hurdle, some prior researches proposed market-based mechanisms such as dynamic pricing and static monetary rewards. However, these mechanisms are either intrusive or unfair...
In current Data Center Networks (DCNs), Equal- Cost MultiPath (ECMP) is used as the de-facto routing protocol. However, ECMP does not differentiate between short and long flows, the two main categories of flows depending on their duration (lifetime). This issue causes hot-spots in the network, affecting negatively the Flow Completion Time (FCT) and the throughput, the two key performance metrics in...
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