Optimized Resource Allocation and Load Balancing in Distributed Cloud using Graph Theory

被引：0
|
作者：
Vidyasagar, Lakshmi Iswara Chandra [1 ]
Pal, Doyel [1 ]
Khethavath, Praveen [1 ]
机构：
[1] CUNY, LaGuardia Community Coll, Math Engn & Comp Sci Dept, Long Isl City, NY 11101 USA
来源：
2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI) | 2018年
关键词：
distributed cloud; graph theory; resource allocation; weighted component order edge connectivity;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Cloud computing provides on-demand services to deliver computing and network resources from a data center over Internet to the users. Distributed cloud computing aims at providing on-demand services provided by individual resource providers to the users. Resource allocation and load balancing are challenging in both cloud models due to the increasing demand of users for services or requests. In this paper we modeled a distributed cloud as a graph and used graph theory to identify a working set of resources. This working set of resources can be used to fulfill users request efficiently. By using graph theory our proposed model automatically performs load balancing.
引用
收藏
页码：2054 / 2058
页数：5
相关论文
共 50 条
  • [1] An efficient clustering and load balancing of distributed cloud data centers using graph theory
    Devi, R. Kanniga
    Murugaboopathi, G.
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2019, 32 (05)
  • [2] On Load Balancing and Resource Allocation in Cloud Services
    Leontiou, Nikolaos
    Dechouniotis, Dimitrios
    Athanasopoulos, Nikolaos
    Denazis, Spyros
    2014 22ND MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2014, : 773 - 778
  • [3] Cloud Load Balancing and Resource Allocation An Advancement in Cloud Technology
    Mathur, Himanshu
    Tazi, Satya Narayan
    Bayal, R. K.
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION TECHNOLOGIES, IC3T 2015, VOL 2, 2016, 380 : 745 - 753
  • [4] Optimized Load Balancing for Efficient Resource Provisioning in the Cloud
    Naha, Ranesh Kumar
    Othman, Mohamed
    2014 IEEE 2ND INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATION TECHNOLOGIES (ISTT), 2014, : 442 - 445
  • [5] LOAD BALANCING AND RESOURCE ALLOCATION IN DISTRIBUTED SIMULATION SYSTEMS
    Iazeolla, Giuseppe
    Pieroni, Alessandra
    13TH MIDDLE EASTERN SIMULATION & MODELLING MULTICONFERENCE (MESM 2012) 3RD GAMEON-ARABIA CONFERENCE, 2012, : 5 - 10
  • [6] Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm
    Ashawa, Moses
    Douglas, Oyakhire
    Osamor, Jude
    Jackie, Riley
    JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2022, 11 (01):
  • [7] Optimized Load Balancing Using Cloud Computing
    Gilani, Wajahat Ali
    Javaid, Nadeem
    Khan, Muhammad KaleemUllah
    Maqbool, Hammad
    Ali, Sajid
    Qureshi, Danish Majeed
    ADVANCES IN NETWORK-BASED INFORMATION SYSTEMS, NBIS-2018, 2019, 22 : 260 - 272
  • [8] Efficient Cloud Resource Scheduling with an Optimized Throttled Load Balancing Approach
    Kumar, V. Dhilip
    Praveenchandar, J.
    Arif, Muhammad
    Brezulianu, Adrian
    Geman, Oana
    Ikram, Atif
    CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 77 (02): : 2179 - 2188
  • [9] An Enhanced Load Balancing Approach for Dynamic Resource Allocation in Cloud Environments
    Praveenchandar, J.
    Tamilarasi, A.
    WIRELESS PERSONAL COMMUNICATIONS, 2022, 122 (04) : 3757 - 3776
  • [10] Simulated-Annealing Load Balancing for Resource Allocation in Cloud Environments
    Fan, Zongqin
    Shen, Hong
    Wu, Yanbo
    Li, Yidong
    2013 INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED COMPUTING, APPLICATIONS AND TECHNOLOGIES (PDCAT), 2013, : 1 - 6
12345